TWI359036B - Method for human motion learning and feed back - Google Patents

Description

In the year of September, the company is replacing the page. The invention is based on the invention. The present invention relates to a learning back. Feeding refers to a human body motion learning feedback method and method. "French. Learn - Learners are learning - when you exercise, you will repeat the practice of swinging, and whether the action of the badminton is correct, and then slowly adjust. The child does not have to observe this way of learning. The disadvantage is that the learner usually makes mistakes in the homework posture, so that the learner has progressed slowly even after many times of training. , , · * Still or for example, in the swing action, the learner consciously poses the wrist 'but actually However, it is necessary to correct the correct posture of the waist. Therefore, in this learning mode, learning to ''correct and effectively correct the exercise posture.' The latter cannot be correct. [Inventive content] Therefore, the object of the present invention, _ effectively corrects The person who moves the second potential ^ can correct and manipulate the human body motion learning feedback method. The human motion learning feedback method includes the following steps: (a) preparing one person The exercise learning feedback system, the package analysis device, the at least one sensing feedback device and a temporary processing device. The comparison analysis device comprises a database and a display " 151 ^ ® ^ t flat 7. § hai sensing feed device Including - angle sensing unit and - motion feedback unit. (M - the learner wears the sensing feedback device at the joint, ' 畤 1 rib day repair (3⁄4 positive replacement page and contact warning of the sensing feedback device) Attached to the skin, and ^ ^ The temporary processing device is worn on the body. (c-1) Using an optimized human motion model and setting a set of time parameters and a set of boundary condition parameters for optimal motion control operations 'Create a comparison information in the database of the comparison analysis device. (c-2) Using the optimized human motion model to perform an optimal motion control operation to generate an optimal motion image in the comparison analysis device Display unit. ' (c) Projecting a moving image corresponding to the comparison information in the database of the comparison analysis device to the display unit of the comparison analysis device. (d) The learner views the motion image for exercise simulation, The angle sensor sensing the n-shell device senses the angle change of the joint of the learner during the movement to generate a learning angle signal. (e) The temporary processing device receives the learning angle signal and sends the learning angle signal to the comparison analysis. (f) comparing the learning angle signal with the to-be-matched A in the database, and determining whether to send a feedback signal to the temporary processing device. (g) 1H temporary processing device receives the feedback After the signal, the contact type warning device in the sensing feedback device is driven to remind the learner. ▲ The human body motion learning feedback system and the method thereof are characterized by the angle change of the unit when the learner moves. After the learning angle signal is generated, the central processing unit is sent to the central processing unit for comparison analysis. If the correct range number is driven to drive the contact type alarm, the learner is immediately reminded to achieve the effect of the present invention. The above and other technical contents, features and effects of the present invention will be apparent from the following detailed description of the preferred embodiments of the present invention. Before the present invention is described in detail, it is to be understood that in the following description, similar elements are denoted by the same reference numerals. BRIEF DESCRIPTION OF THE DRAWINGS A preferred embodiment of a human motion learning feedback system includes a comparison analysis device, a sensing feedback device 3, and a temporary processing device 4. Righteousness, at least the comparison analysis device! Including a central processing unit u storing information to be compared and electrically connecting the central processing unit u 12 ′ - electrically connecting the central processing unit _ , the display unit 13 of the central processing unit 70 11 , a mine and the analysis device Wireless transmitting unit 14, element 15. The analysis device wireless receiving single-learning 13 is used to display the moving image corresponding to the to-be-matched information, and the donor I is simulated. Referring to FIG. 1 and FIG. 2, the learning clothes 2 is for learning. The sensing feedback device 3 is provided, and in the preferred embodiment, the human body motion sensing is returned to the town dream system. The number of the feeding devices 3 of the feedback system is fourteen H on the learning clothes 2 Year °! 月υ曰修8 is replacing the page, the learner wears the study clothes 2, wears it to learn to go to the customs... -Special sensory feedback device: knee waist; household (four), help near school (four) ^ one Neck°—shoulder σΡ, two elbows, two wrists and two jaws. Referring to FIGS. 1 and 3, the sensing feedback devices 3 respectively include an angle sensing early 70 31 and a motion feedback unit 32. , the equal-angle sensing unit 31 (4) sensing "A in the simulation of the image of the (4) in the ^ 3, the angle of the learner's joint changes, and respectively produce a school (four) standing on the neck, the waist 'the same The shoulder and the body angle sensing unit 31 are capable of sensing three degrees of freedom, respectively, to generate a learning angle signal of (δθχ'δθ, ΛΘζ). The remaining angle sensing units 31 located in the financial departments, the wrists, the knees, and the treads respectively sense a degree of freedom, producing a learning angle signal of Δθ. The action feedback unit 32 has a contact type alert 32 attached to the learner's skin and a light alert 322. In the preferred embodiment, the contact alert 1 321 is a vibrator capable of generating vibration. The contact type alert 321 can also be an electrical stimulator capable of generating a weak electrical pulse stimulus. Referring to FIG. 1 and FIG. 2, the temporary processing device 4 is disposed on the learner's body, including an - control unit 41, an angle signal amplifying unit 42 electrically connected to the control unit 41, and a feedback connection electrically connected to the control unit 41. The driving unit 43, the temporary device wireless transmitting unit 44 electrically connected to the control unit 41, and the 8 1359036. temporary device wireless receiving unit 45 electrically connected to the control unit 41. Referring to FIG. 3, the angle signal amplifying unit 42 is electrically connected to the angle sensing early 31 for amplifying the learning signal to be an angle signal. The feedback early 43 is electrically connected to the action feedback unit 32 for driving the motion feedback unit 32 to vibrate. Referring to Figure i and Figure 4, the central processing list of the comparison analysis package

A moving image corresponding to the to-be-matched video is read from the database 12 and transmitted to the display unit 13 for the learner A to simulate. The learner A simulates the same day of the motion image, and the angle sensing unit 31 of the sensing feedback device 3 senses the learner a off, and generates the learning angle signals. Further, the learning angle signal such as 5 hai is transmitted from the angle sensing unit 31' of the sensing feedback device 3 to the angle signal of the temporary processing device 4: the large unit 42. The angle signal amplifying unit 42 is configured to amplify the learning

On January/3rd of the year, the correction of the stomach angle signal is sent to the processing unit of the comparison analysis device. And the towel processing unit 11 compares the material learning degree (4) with the data to be compared, and sends a feedback signal to the feedback driving unit A 43 ' of the temporary processing device 4 to drive the position in the corrected position. The action feedback unit 32 of the sensing feedback device 3 of the joint actuates to prompt the learner A. It is worth mentioning that, in the preferred embodiment, the sensing feedback device 3 of the human body motion/learning feedback system is different in visual movement, and the number can also be two to thirteen, and is only installed on a part of the joint. , the number f 9 / < January 丨 3 days repair (Silver) positive replacement page can also be greater than fourteen. The human motion learning feedback system may also include only the sensing feedback device 3. The creation of the information to be compared in the > library 12, and the generation of the motion image for the learner a = , can be more clearly understood after understanding the human body learning feedback method of the present invention. Referring to Figures 1 and 5, a first preferred embodiment of the human motion learning feedback method of the present invention comprises the following steps: - Step 5: Preparing the human motion learning feedback system. , Step 6: Set the action mode, and a demonstration demonstration action generates a complex demonstration angle signal. Referring to FIG. 1 and FIG. 6 'This step 6 further includes the following steps: - Step 61: setting the action mode', for example, setting the badminton game to step 62: the demonstrator wears the study clothes 2, and demonstrates according to the set action mode. action. Step 3563: Using the sensing echoes located on the learning garment 2: the angle sensing unit 31 of the third embodiment captures the corners of the demonstrator's movement and produces a representative angle signal. Unit: In the badminton kill mode, the angle sensing at the right elbow produces an irregular angle signal ΔΘ of 150 degrees. In the preferred embodiment, the mode of operation includes the choice of speed of movement. Also - step 64: the comparison analysis system, the system further includes _ with the central office 10 1359036. A '^^年月/3 exposure (3⁄4正理早70 11 electrically connected photography unit 16 the photography unit 16 digging "In the case of a better example", the photographer's camera is used to synchronize the image of the image with the camera unit 16, and the motion image is stored in the database 12 t corresponding to the target angle X. (4): Step: 65: The angle sensing unit 31 subtracts the exemplary angles; communicates to the temporary consideration ""... After the angle signal is amplified by a single <, "·, the line is transmitted to the comparison analysis device ^骡66. The comparison mode of the analysis f is in accordance with the action pattern of the research f, and then returns to the step 62.

If it meets the original setting of the M 动作 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该6. Referring to the figure [with Figure 5, then in the training of learners, a step 9 = hundred first yes - step 7: learner A wears the learning clothes 2 'the η then feedback device 3 with" when the county is set to 4, and Confirm that the feedback is located at the corresponding joint. ^Step 8.5 The joint movement to be sensed in this action mode, one reading and one reading 'and one wrong range' will correspond to the waiting for comparison The motion image of fl is projected on the display unit 13. a. In the preferred embodiment, the error angle allowed by the correct range

The range is from 1 〇 到 to g 1 Λ & A and within 10 degrees of the member, the error range is the error angle exceeding 10 degrees. For example, in the badminton play mode, the right elbow has δθ=150. , the correct range is 140. To 16 baht. . - In the step 9, the following steps are included: Step 91: The learner A simulates the motion image projected on the display unit 13, and the angle sensing unit 31 detects the angle change of the learner A joint at this time. The generated learning angle signals are amplified by the angle signal amplifying unit 42 and wirelessly transmitted to the comparison analysis device 1. Step 92: The central processing unit u of the comparison analysis device 1 compares the learning angle signals with the to-be-matched information in the database 12. In the V-sequence 93, it is determined by the central processing unit [[Judge whether the angle f (4) of the learner A joint falls within the correct range. • γ step 94. If it falls within the error range, a feedback is sent to say that the comparison analysis is wirelessly transmitted to the feedback driving unit 43 in the temporary processor. 95: _ (four) moving unit "send the feedback signal to the 5th action feedback unit 32, and drive the contact type alarms 32 to actuate, reminding the learner A' that the light warning device milk will be correspondingly bright (for till training) (for example, the coach) confirms whether the feedback signal has been sent to the correct joint position. After the child A has reminded to correct the posture, return to the step 91 and re-simulate the motion #image until the joint motion falls within the correct range. Referring to FIG. 1 and FIG. 7 , the implementation flow of the second preferred embodiment of the human body motion learning feedback method of the present invention is substantially the same, except that in the present embodiment, the human body motion model is optimized. 12 Establishing the database 12 to wait for the search for the poor news, and to generate the motion image one step screw 6 ': use the county, n to optimize the human body motion model, to establish a comparison with Beixun and better The moving image is in the database. Referring to FIG. 1 and FIG. 8, the yak y v step 6 includes the following steps: First, in a step 61', the action mode for optimally squeezing the human body action type is set, and In a step 62, in the present, today At the grazing point α + r °, the corresponding time parameter and boundary condition parameter. For example, in the magical action of the badminton killing ball, the time parameter is the starting boundary condition parameter of t seconds '

The position and angular velocity at the start of the 丨 construction are (Xi, yi, Zi, 〇) xi, c〇yi n — step 63 'L〗 parameters and boundary (10) parameters are substituted into the optimized human body motion model The motion control operation, in turn, optimizes the to-be-matched information, such as the positional angular velocity at the end of the motion (m;...yt'Wzt), and generates a corresponding dominant motion image. This best motion control operation is familiar with this technique.

M + can be (4) achieved. 'The details are not described here. For related instructions, please refer to Qi Jinghua's book, Ptimizati Qn of Human Motions, pp. 4-17. - Step 64, wherein the information to be compared and the motion image are built in the database U. This step 6' is repeated to establish a non-money comparison of information and motion images. In summary, the angle sensing unit senses the angle change of the learner A during the movement to generate the learning angle signal, and then returns the central processing unit to the comparison information to be compared, if it falls within a correct Outside the range, send the feedback signal to the contact type alarm to activate, and immediately 13 畔 1 1 1 ( 正 正 正 正 正 正 正 正 正 正 正 正 正 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换 替换Correctly correcting the posture and improving the speed of the progress of the learner A. Therefore, it is possible to achieve the object of the present invention. However, the above is only a preferred embodiment of the present invention, and the present invention cannot be limited thereto. The scope, that is, the simple equivalent changes and modifications made by the invention in the scope of the invention and the scope of the invention are still within the scope of the invention. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing a preferred embodiment of the human motion learning feedback system of the present invention; FIG. 2 is a schematic view showing the use of a learning garment of the preferred embodiment in a learning The field diagram shows the connection relationship between a temporary processing skirt and the sensing feedback device of the preferred embodiment; FIG. 4 is a schematic diagram showing the simulation of the learner of the preferred embodiment. FIG. 5 is a flow chart illustrating a first preferred embodiment of the human motion learning feedback method of the present invention; y FIG. 6A's private diagram illustrating the steps of establishing the information to be compared in the first preferred embodiment. FIG. 7 is a flow chart illustrating a second preferred embodiment of the human motion learning feedback method of the present invention; and FIG. 8 is a flow chart illustrating the steps of establishing the information to be compared in the second preferred embodiment. . 14 1359036. [Explanation of main component symbols] I ..........Comparative analysis device II ........Central processing unit Element setting wireless transmitting unit Setting wireless receiving unit

Feeding unit measuring unit feeding unit warning device

12... •...Database 13 ···· •...Display List 14 .... •... Analysis Pack 15 ···· •...analytical Pack 16...· •...Photography Sheet 2.... •... Learning clothes 3....... •...sensing back 31 •...angle sense 32...·action back 321····...contact type 322····...light warning 4....... Temporary 41 ····....Control list 42 ... Angle angle 43 ••...Reward drive 44 ••... Temporary installation 45 ····· ... Temporary installation 5........Step 6 ······· ...Step 61 ····. ...Step 62 ····· ...Step number Amplifying unit Dynamic unit Setting wireless transmitting unit Setting wireless receiving unit 15 1359036. 衅?? (/) is replacing page 63........Step 64........Step 65........Step 66........Step 67 ... .....Step 6'...Steps 61' .......Step 62' .......Steps

63' .......Step 64' .......Step 7 ..........Step 8 ..........Step 9 ..... .....Step 91 ........Step 92 ........Step 93 ........Steps

94 ........Steps 95 ........Steps A.......... Learners 16

Claims (1)

1359036. I〇o Patent application scope: The following is the following steps: (a) Prepare a human motion learning feedback system, including an alignment analysis. The device 'at least the sensing feedback device and the temporary processing device, the comparison analysis device includes a data library and a display unit, the sensing feedback device includes an angle sensing unit and a motion feedback unit; (1) - the learner will The sensing feedback device is worn on the joint, and the contact type warning device of the sensing feedback device is attached to the skin, and the time processing device is worn on the body; (c-. utilizing - optimizing the human body motion model and setting ...and after the time parameter and the -Μ boundary condition parameter, the optimal action control is performed, and the comparison information of the database arrangement of the comparison analysis device is established; (c-2) using the optimized human motion model, Performing an optimal motion control operation to generate an optimal motion image in the comparison analysis device; (7) projecting the motion image corresponding to the data to be compared in the database of the comparison analysis device Minute (4) The learner views (4) the image for motion simulation, and the angle sensing of the sensing feedback device senses the change of the learner's joint during exercise, and generates a learning angle signal.; (e) the temporary The processing device receives the learning angle signal and goes to the comparison analysis device; (f) comparing the learning angle signal with the to-be-matched information in the database and determining whether to send the 1 feed signal to the temporary processing device 17 1359036. • · _ setting; and |w month 丨 replacement page (g) After receiving the feedback signal, the temporary processing device drives the contact type warning device of the sensing feedback device to remind the learner. The human motion learning feedback method described in claim i further includes a step (bl) performed before the step (b), and in the step (b-Ι), setting a motion mode to be demonstrated by the demonstrator 'And using the sensing unit of the sensing device, sensing the change of the joint angle of the demonstrator during exercise, generating a model angle signal to the temporary processing device and sending it to the comparison analysis If the comparison analysis device determines that the operation mode matches the original setting mode, the data is transmitted to the database to establish the to-be-matched information in the database, and if the determination is not consistent, the step (b-1) is repeated. 3. The human motion learning feedback method according to claim 2, further comprising a step (b_2) performed before the step (b), and in the step (b-2), the comparison analysis device is further A photographing unit for taking a moving image of the demonstration = is used, and the moving image is used to store the moving image in the comparison analyzing device. 4. According to the scope of the patent application The human body motion learning feedback method, wherein the step (f) further comprises a step (M), in the step (f)), the learning angle signal is analyzed by the comparison analysis device, and if it falls within an error range And sending a feedback signal to the temporary processing device', if it falls within a correct range, the feedback signal is not sent. 5. According to the human motion learning feedback method described in item 4 of the patent application scope, 'in this step (f-Ι), the correct range allows the error angle 18 1359036. • · Saki January. 丨) The range of degrees is from positive 10 degrees to minus 10 degrees. The error range is that the error angle exceeds 10 degrees. 19 1359036. January/3, η, repair (shore) is replacing page VII. Designated representative map: (1) The representative representative of the case is: Figure 1. (2) A brief description of the component symbols of this representative diagram: I ............Comparative analysis device II ..... central processing unit 12... ....Database 13 .......... Display unit 14 ..... Analysis device wireless transmitting unit 15 ..........analysis device wireless receiving unit 16 ..... photography unit 2 ............... learning clothes 3 ..... . . sensing feedback device 31 .......... angle sensing unit 32 .......... action locking unit 321 ........ Contact type warning device 322........light warning device 4............temporary processing device 41 ..... control unit 42 .... ... angle signal amplifying unit 43 ..... feedback drive unit 44 ..... temporary device wireless transmitting unit 45 ......... Temporary device wireless receiving unit 8. If there is a chemical formula in this case, please disclose the chemical formula that best shows the characteristics of the invention: 4