CN101614560B - Movement recorder based on GPS positioning and method thereof - Google Patents

Abstract

The invention discloses a method for recording sports based on GPS positioning, which includes: collecting a piece of GPS positioning data every predetermined time interval, and each piece of GPS positioning data includes position coordinates and time; performing motion recognition on the GPS positioning data for a period of time A motion record and a static record within this period of time are obtained, the motion record includes at least motion distance information, and the static record includes at least static duration information. In this way, by performing motion recognition on the GPS positioning data of one day, one week, one month or one year, the motion records and static records during this period can be obtained, so that users can check their own motion during this period after viewing these records. Comprehensive understanding and mastery of state and static conditions.

Description

Motion recorder and method based on GPS positioning

technical field

The invention relates to the field of electronic circuit design, in particular to a motion recorder based on GPS positioning. the

Background technique

Health problems are a big problem that cannot be ignored for everyone. Everyone hopes to have a healthy body, and almost everyone knows that they must maintain a certain amount of exercise to stay healthy. However, a problem that cannot be ignored is that due to various reasons, people are more and more immersed in busy work and cannot extricate themselves, and currently a considerable number of people are sitting in front of the computer for a long time to keep a This comfortable and more efficient way of working brings certain challenges to people's health. In addition, even when it comes to leisure time, many people choose to spend it in non-exercise forms (such as watching TV, playing online games, etc.). In addition, the current various services are so developed that people can buy a variety of goods without going shopping, such as visiting online stores, ordering food by phone, and so on. All in all, with the change of working methods and the improvement of living standards, people's work and life have become more and more comfortable and comfortable, and at the same time, the amount of people's exercise is decreasing day by day, which has brought great impact to people. health risks. the

At present, many people have also realized the hidden dangers to the human body caused by insufficient exercise, but most of them still insist on the unhealthy work and lifestyle before, and very few people insist on exercising. An important reason for this situation is that people do not know their own exercise situation within a certain period of time (such as a day, a few days or a longer period of time), and they cannot be reminded in time when they lack exercise. the

In order to enable everyone to better understand their own exercise conditions, a pedometer that can record the number of steps of the user has appeared. This kind of pedometer is generally made according to the principle of mechanical swing. The user carries it on the body before exercising. After each step taken by the user, the pedometer will increase the number of steps recorded by it by 1. In this way, the number of steps of the exercise can be displayed after each exercise. However, the application scenarios of such a pedometer are very limited. For example, if you do not exercise, it cannot play any role. For example, if you ride a bicycle, it also cannot play the role of sports record. Running and walking etc. the

In order to encourage everyone to pay more attention to exercise, some health reminder devices have also appeared. For example, most computers are equipped with a camera at present, so the image in front of the computer can be collected through the camera, and then it can be judged whether there is a user in front of the computer by analyzing the content of the image. If the duration of the user in front of the computer is found to exceed a predetermined threshold A reminder message is sent to remind the user to pay attention to exercise. Yet this health reminding equipment can only be aimed at the situation of being equipped with the computer of camera, can not be used for most other conditions, such as people read a book for a long time, watch TV for a long time and sit still for a long time etc. for a long time. the

Therefore, it is urgent to propose an advanced motion recorder and method that can overcome the above-mentioned shortcomings. the

Contents of the invention

In view of this, one of the technical problems to be solved by the present invention is to provide a sports recorder based on GPS positioning, which can completely record the user's sports conditions around the clock. the

The second technical problem to be solved by the present invention is to provide a sports recording method based on GPS positioning, which can completely record the user's sports conditions around the clock. the

In order to solve the above-mentioned technical problems, according to one aspect of the present invention, the present invention provides a kind of sports recorder based on GPS positioning, which comprises: a GPS positioning unit, which is used to collect a piece of GPS positioning data every predetermined time interval, and each GPS positioning The positioning data includes position coordinates and time; and a motion recognition unit, configured to perform motion recognition on GPS positioning data for a period of time to obtain a motion record within this period, and the motion record at least includes motion distance information. the

Further, after the motion identification unit performs motion identification on GPS positioning data for a period of time, it also obtains a still record within the period, and the still record includes at least the information of the still duration. the

Furthermore, there are multiple static records, and each static record also includes static start and end GPS positioning data. the

Still further, the exercise record includes multiple items, and each exercise record also includes part or all of the exercise type, exercise start GPS positioning data, exercise end GPS positioning data, and exercise duration. the

Still further, the type of exercise includes one or more of walking, running, cycling and driving. the

Still further, it also includes a storage unit, the storage unit is used to store the GPS positioning data collected by the GPS positioning unit and the motion records and static records obtained by the motion recognition unit, and the storage unit is provided with an input and output interface The GPS positioning data can be exported to the storage unit through the input and output interface. the

Still further, the motion recognition unit includes a static motion recognition module, a static recording module, a motion recording module and a record integration module, the static motion recognition module is used to judge whether the current GPS positioning data is a static point or a moving point; the The static recording module is used to create a static record or update the static record when the current GPS positioning data is a static point; the motion recording module is used to create a motion record or update the current GPS positioning data when it is a motion point The motion record; the record integration module is used to receive the static record provided by the static record module and the motion record provided by the motion record module, and integrate the static record and the motion record. the

Still further, the exercise record module identifies the corresponding exercise type in the exercise record through the highest speed or/and average speed. the

According to another aspect of the present invention, the present invention provides a kind of motion recording method based on GPS positioning, and it comprises: every predetermined time interval collects a piece of GPS positioning data, each piece of GPS positioning data includes position coordinates and time; The GPS positioning data is used for motion identification to obtain motion records and static records within this period, the motion records contain at least movement distance information, and the static records contain at least static duration information. the

Further, there are many stationary records, and each stationary record also includes static start and end GPS positioning data; the sports record includes multiple records, and each sports record also includes motion type, motion starting GPS positioning data , Part or all of the GPS positioning data and the duration of the exercise are terminated, and the exercise type includes one or more of walking, running, cycling and driving. the

Furthermore, the motion recognition of GPS positioning data for a period of time to obtain motion records and static records during this period includes: judging whether the current GPS positioning data is a static point or a moving point; when the current GPS positioning data is a static point Create a static record or update the static record; create a motion record or update the motion record when the current GPS positioning data is a motion point; integrate the static record and the motion record. the

Still further, the static record includes static duration T _s , static start and end GPS positioning data, and creating a static record includes: using the last GPS positioning data as the static initial GPS positioning data, and using the current GPS positioning data As static termination GPS positioning data, the time difference ΔT of the time in the current GPS positioning data and the time in the last GPS positioning data is given to the static duration T _s as an initial value; and the static record of updating includes: The current GPS positioning data is updated to the stationary terminated GPS positioning data, and the time difference ΔT between the time in the current GPS positioning data and the time in the previous GPS positioning data is added to the stationary duration T _s .

Still further, the motion record includes motion type, motion start and end GPS positioning data, motion distance D _m , motion duration T _m , maximum speed V _max , and creating a motion record includes: adding the motion type Set to Unknown, take the previous GPS positioning data as the start GPS positioning data of the exercise, use the current GPS positioning data as the GPS positioning data of the end of the exercise, and combine the geographic location in the current GPS positioning data with the geographic location in the previous GPS positioning data The distance difference ΔD is assigned to the motion distance D _m as an initial value, and the time difference ΔT between the time in the current GPS positioning data and the time in the previous GPS positioning data is assigned to the motion duration T _m as an initial value, and will be based on The current GPS positioning data and the time difference ΔT and the distance difference ΔD calculation of the previous GPS positioning data give the highest speed V _max as the initial value; updating the motion record includes: using the current GPS positioning data as the motion termination GPS Positioning data, the distance difference ΔD between the geographic location in the current GPS positioning data and the geographic location in the previous GPS positioning data is added to the motion distance D _m , and the time in the current GPS positioning data and the previous GPS positioning data The time difference ΔT of the time in the positioning data is added to the motion duration T _m , and the instantaneous speed calculated based on the time difference ΔT and the distance difference ΔD between the current GPS positioning data and the previous GPS positioning data is compared with the previous The greater of the maximum speed V _max is given as the update value, and finally the motion type of the motion record is determined according to the maximum speed V _{max .}

Compared with prior art like this, in the technical scheme that the present invention proposes, by carrying out motion recognition to the GPS positioning data of a day, 1 week, 1 month or 1 year, the motion record and the still record of this period of time can be obtained, like this After viewing these records, the user can have a comprehensive understanding and mastery of his exercise status and static status during the period, and these intuitive and comprehensive records can prompt the user to arrange his time more reasonably in the future. the

Description of drawings

Fig. 1 is a functional block diagram in an embodiment of the motion recorder based on GPS positioning among the present invention;

Fig. 2 is a functional block diagram in an embodiment of the motion recognition unit among the present invention; With

Fig. 3 is a flowchart in one example of the motion recording method in the present invention. the

Detailed ways

The specific implementation manners of the present invention will be described below in conjunction with the accompanying drawings. the

The present invention proposes a motion recorder based on GPS (Global Position System, Global Positioning System, referred to as GPS) positioning, which utilizes the GPS positioning unit to collect GPS positioning data, and then performs motion recognition on these GPS positioning data to obtain user information. of sports conditions. This kind of motion recorder can obtain the user's all-weather and complete GPS positioning data, and the motion recognition based on these positioning data can obtain all the user's motion records, so that it can comprehensively and truly reflect the user's motion situation . the

FIG. 1 shows a functional block diagram of an embodiment of a GPS positioning-based exercise recorder 100 of the invention. As shown in FIG. 1 , the exercise recorder 100 includes a GPS positioning unit 110 , a storage unit 120 , an exercise identification unit 130 and a display unit 140 . the

The GPS positioning unit 110 is used to collect GPS positioning data, the GPS positioning data may include three-dimensional coordinates, speed and time, and the three-dimensional coordinates may include longitude, latitude and altitude. What needs to be explained is that the Global Positioning System (Global Position System, referred to as GPS) is a satellite radio navigation system, which has global, all-weather, continuous and real-time navigation, positioning and timing functions, and can serve various users Provides precise 3D coordinates including longitude, latitude and altitude, speed and time. In this article, GPS is a concept in a broad sense, referring to a system that can provide global positioning. Various current vehicle-mounted GPS navigators or other GPS positioning products are equipped with a GPS positioning unit, and the GPS positioning unit 110 can use any GPS positioning data acquisition device in the prior art. In addition, the GPS positioning unit 110 in the present invention only needs to be used to collect GPS positioning data and does not need other additional functions, so that the structure of the GPS positioning unit 110 can be kept as simple as possible. the

In one embodiment, the GPS positioning unit 110 collects a piece of GPS positioning data (or a piece of GPS positioning data or a set of GPS positioning data) every predetermined time interval, and each piece of GPS positioning data includes three-dimensional coordinates, speed and time. For example, an example of a piece of GPS positioning data can be: 87 degrees 19 minutes 52 seconds east longitude, 43 degrees 40 minutes 37 seconds north latitude, 156.3 meters above sea level, 0 m/s, 10:20 on June 21, 2009 Minutes and 21 seconds. In order to record the user's motion trajectory more accurately, the shorter the predetermined time interval is set, the better, but as the predetermined time interval gradually becomes shorter, the number of GPS positioning data that needs to be collected is also corresponding Gradually increase. In a specific example, the predetermined time interval may be selected between 1-30 seconds. For example, if the predetermined time interval is selected as 5 seconds, the GPS positioning unit 110 can collect 12 pieces of GPS positioning data in 1 minute, and 12*60 pieces of GPS positioning data can be collected in 1 hour. =720 pieces of GPS positioning data, then 720*24=17280 pieces of data can be collected in one day, so that these 17280 pieces of GPS positioning data constitute the user's movement track in this day. the

The storage unit 120 may be used to store the GPS positioning data collected by the GPS positioning unit 110 . The storage unit 120 can adopt the currently popular flash memory (Flash Memory). The storage unit 120 is provided with an input and output interface (such as a USB interface), through which the GPS positioning data can be exported to the storage unit 120 , and other data can also be imported into the storage unit 120 . the

The motion recognition unit 130 is used to carry out motion recognition to GPS positioning data for a period of time (such as 1 day, 1 week, etc.) to obtain a series of alternate static records and motion records, each static record contains at least static duration information, Each exercise record includes at least exercise distance information. In one embodiment, each motion record includes motion type, motion start and end GPS positioning data and motion distance, and each static record includes static start and end GPS positioning data, and the static start in the static record The duration of stillness can be calculated by using GPS positioning data and ending GPS positioning data, and the duration of exercise can be calculated by starting and ending GPS positioning data in the exercise record. In another embodiment, each exercise record includes exercise type, exercise duration and exercise distance, and each static record includes a static duration. In addition, other sports information can also be recorded in the sports record, such as average speed, maximum speed, etc. The type of exercise may include one or more of walking, running, cycling, and driving, and of course other types of exercise may also be included. Of course, the type of exercise can also be set by the user in advance. For example, if some users do not ride a bicycle at all, they only need to set the three types of exercise: walking, running and driving. the

The still records and exercise records can be stored in the storage unit 120 , and can also be displayed on the display unit 140 directly or after statistics. The motion identification unit 130 can perform real-time motion identification on the GPS positioning data collected by the GPS positioning unit 110 , and can also identify GPS positioning data that has been stored in the storage unit 120 for a period of time. the

By performing motion recognition on the GPS positioning data of one day, one week, one month or one year, the motion records and static records of this period can be obtained, so that users can check their own exercise conditions and A comprehensive understanding and mastery of static conditions, and these intuitive and comprehensive records can prompt users to arrange their time more reasonably in the future. the

FIG. 2 is a functional block diagram of an embodiment of a motion recognition unit 200 in the present invention, which can be used as the motion recognition unit 130 in FIG. 1 . As shown in FIG. 2 , the motion recognition unit 200 includes a static motion recognition module 210 , a static recording module 220 , a motion recording module 230 and a record integration module 240 . the

FIG. 3 is a flowchart of an example of the motion recording method 300 in the present invention, which reflects the working process of the motion recognition unit 200 and the motion recorder 100 to a certain extent. Please refer to FIGS. 1-3 in combination. The exercise recording method 300 includes the following steps. the

Step 302, collecting current GPS positioning data. The current GPS positioning data may come from the storage unit 120 or from the GPS positioning unit 110 . After the processing of the current GPS positioning data is completed, the next GPS positioning data will continue to be processed as the current GPS positioning data. The current GPS positioning data is a piece of GPS positioning data being processed, and the next GPS positioning data is A piece of GPS positioning data adjacent to the GPS positioning data to be processed, and the last GPS positioning data is a piece of GPS positioning data adjacent to the current GPS positioning data that has just been processed. the

Step 304 , the static/motion recognition module 210 judges whether the current working state is a static state, if yes, the method 300 proceeds to step 306 , otherwise, the method 300 proceeds to step 314 . Initially, the current working state can be defaulted as either the static state or the moving state, and then the previous working state is taken as the current state. the

Step 306 , the static/motion identification module 210 judges whether the current GPS positioning data is a static point or a moving point, if it is a static point, the method proceeds to step 308 , and if it is a moving point, the method proceeds to step 310 . In one embodiment, the static movement identification module 210 can calculate the distance difference between the geographic location in the current GPS positioning data and the geographic location in the previous GPS positioning data, and compare the distance difference with a predetermined distance threshold ( Such as 0 or a smaller value near 0) for comparison, if the distance difference is less than the predetermined distance threshold, the current GPS positioning data is considered to be a static point, otherwise the current GPS positioning data is considered to be a moving point. Of course, there are many other methods, which will not be listed here. the

In step 308, the still record module 220 updates the current still record, and then returns to step 302 to continue processing. Generally speaking, before entering step 308, the still record module 220 has already established a still record in other steps, so here only needs to update the content of the current still record. In one embodiment, the static record includes static duration T _s , static start and end GPS positioning data, and the update of the current static record is: update the current GPS positioning data to the static end GPS positioning data, and update the current GPS positioning data to the static end GPS positioning data. The time difference ΔT between the time in the positioning data and the time in the last GPS positioning data is added to the static duration T _s .

Step 310 , the still record module 220 outputs the current still record to the record synthesis module 240 . the

Step 312 , the static/movement identification module 210 converts the working state into a motion state, and starts the motion recording module 230 , the motion recording module 230 creates a motion record, calculates speed information, and then returns to step 302 to continue processing. In one embodiment, the exercise record may include exercise type, exercise start and end GPS positioning data, exercise distance D _m and exercise duration T _m , the speed information includes the highest speed V _max , the establishment of the exercise record The calculation of the sum speed information is exactly: the described motion type is set to unknown, the last GPS positioning data is used as the motion start GPS positioning data, the current GPS positioning data is used as the motion termination GPS positioning data, and the geographical position in the current GPS positioning data is The distance difference ΔD between the position and the geographic location in the last GPS positioning data is given as the initial value, and the time difference _ΔT between the time in the current GPS positioning data and the time in the last GPS positioning data is given to The motion duration T _m is used as an initial value, and the instantaneous speed calculated based on the time difference ΔT and the distance difference ΔD between the current GPS positioning data and the previous GPS positioning data is assigned to the highest speed V _max as an initial value. In an embodiment, the highest speed V _max can also be regarded as a motion parameter in the motion record.

Step 314 , the static/moving identification module 210 judges whether the current GPS positioning data is a static point or a moving point, if it is a static point, the method proceeds to step 316 , and if it is a moving point, the method proceeds to step 318 . The judging method may be the same as step 308, and will not be repeated here. the

In step 316, the exercise recording module 230 updates the current exercise record and speed information, and then returns to step 302 to continue processing. In one embodiment, updating the current motion record and speed information is: using the current GPS positioning data as the GPS positioning data at the end of the motion, and calculating the distance difference between the geographic location in the current GPS positioning data and the geographic location in the last GPS positioning data ΔD is added to the movement distance D _m , and the time difference ΔT between the time in the current GPS positioning data and the time in the previous GPS positioning data is added to the movement duration T _m , and the current GPS positioning data will be The higher of the instantaneous speed calculated from the time difference ΔT and the distance difference ΔD from the last GPS positioning data and the previous highest speed V _max is assigned to the highest speed V _max as an update value.

Step 318, the exercise recording module 230 determines the exercise type of the current exercise according to the speed information, and updates the exercise type into the current exercise record. the

Generally speaking, running speed is faster than walking speed, cycling speed is faster than running speed, and taking a bus, driving a car, etc. is faster than riding a bicycle. In addition, theoretically speaking, each continuous movement can only be one of driving, cycling or walking (running and walking), and it is impossible to be both driving and walking, because there must be a static record between the two . In one embodiment, the exercise recording module 230 is set with a walking speed threshold V _th1 , a running speed threshold V _th2 , and a cycling speed threshold V _th3 , wherein V _th1 <V _th2 <V _th3 . If V _max <V _th1 , then determine the current type of exercise as walking; if V _th1 <V _max <V _th2 , determine that the current type of exercise is running; if V _th2 <V _max <V _th3 , determine that the current type of exercise is running The exercise type of the exercise is cycling; if V _max >V _th3 , it is determined that the exercise type of the current exercise is cycling.

In another embodiment, it is also possible to use the average speed V _ave to judge the type of motion, and the average speed V _ave is the ratio of the motion distance D _m to the motion duration T _m in the current motion record, at this time, the motion record module 230 is set with walking average speed threshold V _aveth1 , running average speed threshold V _aveth2 , and cycling average speed threshold V _aveth3 , where V _aveth1 <V _aveth2 <V _aveth3 , if V _ave <V _aveth1 , determine the current movement The type is walking, if V _aveth1 <V _ave <V _aveth2 , then determine that the current exercise type is running; if V _aveth2 <V _ave <V _aveth3 , then determine that the current exercise type is cycling; if V _ave >V _aveth3 , it is determined that the motion type of the current motion is car travel.

In yet another embodiment, the motion type identification can be carried out in two ways, the average speed V _ave and the maximum speed V _max , and when the motion type recognition results of the two recognition methods are consistent, the motion type of the current motion is determined as the selected When the motion type recognition results of the two recognition methods are inconsistent, select an appropriate motion type according to the two recognition results. For example, when the average speed is determined to be walking and the highest speed is determined to be driving, it may be that the car has been driving at high speed for a short time and has been moving slowly in traffic jams. Therefore, the final judgment result should be driving. If it is walking and the highest speed is judged to be cycling, the final judgment result should also be cycling. However, if the average speed is judged to be walking and the highest speed is judged to be running, it may be that the user has a short-term running behavior during walking, so The final judgment result shall be walking. For another example, when the average speed is judged as running and the highest speed is judged as driving, the final judgment result is also applied as driving; when the average speed is judged as running and the highest speed is judged as cycling, the final judgment result is also applied as cycling . For another example, when the average speed is judged as riding a bicycle and the highest speed is judged as driving, the final judgment result is also applied as driving.

It should be noted that the user may not have selected the exercise type of cycling, so some of the records described above that were originally considered to be cycling may be identified as driving. the

Step 320 , the exercise record module 220 outputs the current exercise record to the record integration module 240 . the

Step 322 , the static motion recognition module 210 converts the working state to a static state, and starts the static recording module 220 , the static recording module 220 creates a static record, and then returns to step 302 to continue processing. In one embodiment, the static record includes static duration T _s , static start and end GPS positioning data, and the creation of the static record is: use the last GPS positioning data as the static initial GPS positioning data, and use the current GPS positioning data as the static initial GPS positioning data. The positioning data is used as the static termination GPS positioning data, and the time difference ΔT between the time in the current GPS positioning data and the time in the last GPS positioning data is assigned to the static duration T _s as an initial value.

In step 324, the record integration module 240 integrates the still records and exercise records to obtain more reasonable and accurate still records and exercise records. A series of adjacent and alternating static records and motion records are obtained through the above-mentioned steps-temporal motion recognition. the

However, these static records and motion records are not very accurate. For example, a bus may temporarily stop when it encounters a traffic light while driving, and this process may be recorded as three adjacent records: the first driving record, the static record , The second driving record, and for example, riding a bicycle will also encounter this kind of traffic light problem, and at this time three adjacent records will also be generated: the first cycling record, the stationary record and the second cycling record, the same running Similar problems can be encountered with walking. In order to solve this type of problem, the record integration module 240 can integrate these three records when the static duration of the static record is less than a predetermined value (such as 1-5 minutes, etc.) and the types of motion records adjacent to the static record are the same. It is a motion record, specifically, the motion duration of the integrated motion record is the sum of the motion or static duration of the three records, the motion distance is the sum of the motion distances of the two motion records, and the motion type is the two motion records The exercise type, the exercise start GPS positioning data is the exercise start GPS positioning data of the first exercise record, and the exercise end GPS positioning data is the exercise end GPS positioning data of the second exercise record. The above synthesis can be called the same type of synthesis, and the sports records after the same type of synthesis can still be synthesized again according to the same principle. the

In addition, there are still many inaccuracies in the static records and exercise records after the above-mentioned similar synthesis is completed. For example, the period of slow bus travel may often be judged as walking, running and cycling, and the period of slow cycling may also be often judged as Judged as walking and running. In order to solve this kind of problem, the record integration module 240 can combine the two non-adjacent vehicle movement The records and the static or motion records in between are synthesized into a vehicle movement record, and the specific method is similar to the same type of synthesis, which will not be repeated here. Similarly, when the time difference between the two non-adjacent cycling records does not exceed a predetermined value (such as 5-10 minutes), the record integration module 240 can combine the two non-adjacent cycling records and the The static or exercise records of the bike are combined into one cycling activity record. These integrations can be called different types of integrations, and the sports records after the different types of integrations can still be integrated again according to the same principle. the

Certainly, the motion record and the still record can also be integrated with reference to various other reasonable principles to make the motion record and the still record more accurate and reasonable. the

The integration step of the record integration module 240 can be performed once every short period of time (such as 20 minutes), or once every long period of time (such as 2 hours), which can be set according to needs. So far, a series of reasonable and accurate static records and exercise records can be obtained according to the GPS positioning data for a period of time (such as 1 day, 1 week, etc.). the

Of course, the static records and motion records may not be directly stored or displayed, but statistics, display or storage are performed on the basis of these static records and motion records, such as counting the total static time and total motion distance of a week, The total walking distance, total running distance, total cycling distance, etc. are displayed or stored. In addition, it is also possible to further calculate consumed calorie data and the like based on these distance data. the

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention within. the

Claims (13)

1. A motion recorder based on GPS positioning, characterized in that it comprises: GPS positioning unit, used for collecting a piece of GPS positioning data every predetermined time interval, each piece of GPS positioning data includes position coordinates and time; and The movement recognition unit is used for performing movement recognition on GPS positioning data for a period of time to obtain a movement record within this period, and the movement record at least includes movement distance information. 2. the motion recorder based on GPS positioning as claimed in claim 1, is characterized in that, after described motion recognition unit carries out motion recognition to GPS positioning data of a period of time, also obtains the static record in this section of time, described static A record contains at least inactive duration information. 3. The motion recorder based on GPS positioning as claimed in claim 2, wherein there are multiple static records, and each static record also includes static start and end GPS positioning data. 4. The motion recorder based on GPS positioning as claimed in claim 3, wherein said motion record comprises a plurality, and each motion record also includes motion type, motion initiation GPS positioning data, motion termination GPS positioning data and some or all of the exercise duration. 5. The sports recorder based on GPS positioning according to claim 4, wherein the sports type includes one or more of walking, running, cycling and driving. 6. the sports recorder based on GPS positioning as claimed in claim 2, is characterized in that, it also includes storage unit, and described storage unit is used for storing the GPS positioning data that described GPS positioning unit gathers and motion identification unit For the motion records and static records obtained, the storage unit is provided with an input and output interface, and the GPS positioning data can be exported to the storage unit through the input and output interface. 7. The motion recorder based on GPS positioning as claimed in claim 6, characterized in that, The motion recognition unit includes a static motion recognition module, a static recording module, a motion recording module and a record synthesis module, The static and dynamic identification module is used to judge whether the current GPS positioning data is a static point or a moving point; The static record module is used to create a static record or update the static record when the current GPS positioning data is a static point; The motion record module is used to create a motion record or update the motion record when the current GPS positioning data is a motion point; The record integration module is configured to receive the still record provided by the still record module and the exercise record provided by the exercise record module, and integrate the still record and the exercise record. 8. The sports recorder based on GPS positioning as claimed in claim 7, wherein the sports recording module identifies the corresponding motion type in the motion record by the highest speed or/and average speed. 9. A motion recording method based on GPS positioning, characterized in that it comprises: A piece of GPS positioning data is collected every predetermined time interval, and each piece of GPS positioning data includes position coordinates and time; Motion recognition is performed on GPS positioning data for a period of time to obtain motion records and static records within this period, the motion records include at least movement distance information, and the static records contain at least static duration information. 10. the motion recording method based on GPS positioning as claimed in claim 9, is characterized in that, There are many described static records, each static record also includes static start and end GPS positioning data; Part or all of the GPS positioning data and exercise duration, the exercise type includes one or more of walking, running, cycling and driving. 11. The motion recording method based on GPS positioning as claimed in claim 10, wherein said carrying out motion identification to GPS positioning data for a period of time to obtain motion records and static records during this period includes: Determine whether the current GPS positioning data is a static point or a moving point; Create a static record or update the static record when the current GPS positioning data is a static point; Create a motion record or update the motion record when the current GPS positioning data is a motion point; The static recording and the motion recording are combined. 12. the motion recording method based on GPS positioning as claimed in claim 11, is characterized in that, The static record includes static duration T _s , static start and end GPS positioning data, Said creating a static record includes: using the last GPS positioning data as the static initial GPS positioning data, using the current GPS positioning data as the static termination GPS positioning data, and combining the time in the current GPS positioning data with the time in the last GPS positioning data A time difference ΔT in time assigns said rest period T _s as an initial value; and The update of the static record includes: updating the current GPS positioning data to the static termination GPS positioning data, adding the time difference ΔT between the time in the current GPS positioning data and the time in the last GPS positioning data to the static duration T _s on. 13. the motion recording method based on GPS positioning as claimed in claim 11, is characterized in that, The sports record includes sports type, sports start and end GPS positioning data, sports distance D _m , sports duration T _m , maximum speed V _max , The creation of a motion record includes: setting the motion type to unknown, using the last GPS positioning data as the motion starting GPS positioning data, using the current GPS positioning data as the motion termination GPS positioning data, and using the current GPS positioning data The distance difference ΔD between the geographic location and the geographic location in the last GPS positioning data is given to the motion distance D _m as an initial value, and the time difference ΔT between the time in the current GPS positioning data and the time in the last GPS positioning data Give the motion duration T _m as an initial value, and give the highest speed _Vmax as an initial value to the instantaneous speed calculated according to the time difference ΔT and the distance difference ΔD between the current GPS positioning data and the previous GPS positioning data; Updating the motion record includes: using the current GPS positioning data as the GPS positioning data for motion termination, adding the distance difference ΔD between the geographic location in the current GPS positioning data and the geographic location in the previous GPS positioning data to give the motion distance On D _m , the time difference ΔT between the time in the current GPS positioning data and the time in the last GPS positioning data is added to the motion duration T _m , and the time difference between the current GPS positioning data and the last GPS positioning data will be The greater of the instantaneous speed calculated by the difference ΔT and the distance difference ΔD and the previous maximum speed V _max is assigned the maximum speed V _max as an update value, and finally the motion of the motion record is determined according to the maximum speed V _max type.

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