CN104305561B - The determination methods of emotion wearable system and emotion - Google Patents
The determination methods of emotion wearable system and emotion Download PDFInfo
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- CN104305561B CN104305561B CN201410522198.XA CN201410522198A CN104305561B CN 104305561 B CN104305561 B CN 104305561B CN 201410522198 A CN201410522198 A CN 201410522198A CN 104305561 B CN104305561 B CN 104305561B
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- 230000008451 emotion Effects 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title claims abstract description 15
- 230000036760 body temperature Effects 0.000 claims abstract description 81
- 230000000717 retained effect Effects 0.000 claims abstract description 17
- 238000004891 communication Methods 0.000 claims abstract description 12
- 229910021607 Silver chloride Inorganic materials 0.000 claims description 6
- 229910000510 noble metal Inorganic materials 0.000 claims description 6
- 238000007747 plating Methods 0.000 claims description 6
- 229910052709 silver Inorganic materials 0.000 claims description 6
- 239000004332 silver Substances 0.000 claims description 6
- HKZLPVFGJNLROG-UHFFFAOYSA-M silver monochloride Chemical compound [Cl-].[Ag+] HKZLPVFGJNLROG-UHFFFAOYSA-M 0.000 claims description 6
- 230000036651 mood Effects 0.000 description 6
- 238000013507 mapping Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002996 emotional effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 208000021760 high fever Diseases 0.000 description 1
- 230000001734 parasympathetic effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 210000004243 sweat Anatomy 0.000 description 1
- 230000002889 sympathetic effect Effects 0.000 description 1
- 238000010792 warming Methods 0.000 description 1
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Abstract
The present invention is suitable for electronics and dress ornament field, a kind of method described in determination methods of emotion and system that provides comprises: by being arranged on the body temperature of the acquisition user of the cycle sensor in underwear, skin electric conductivity and heart rate variability degrees of data, body temperature and electrical conductivity are passed to smart machine by wireless communication module by underwear; Smart machine judges the body temperature obtained and electrical conductivity, the body temperature not in preset range, electrical conductivity and heart rate variability degrees of data is given up, is retained in the body temperature in preset range, electrical conductivity and heart rate variability degrees of data; Smart machine calculates the excited index of user according to the body temperature retained and conductivity data; Smart machine obtains first affection data of user according to this excited index, obtains second affection data of user according to this body temperature and conductivity data; As the first affection data is identical with the second affection data, then confirm that the affection data of user is the first affection data.The present invention has and detects advantage accurately.
Description
Technical field
The invention belongs to electronics and dress ornament field, particularly relate to the determination methods of a kind of emotion wearable system and emotion.
Background technology
Underwear, refers to the clothing worn next to the skin, comprises vest, undershirt, pants, brassiere etc.Underwear refers to be through the clothes in other clothings, normally directly contacts skin, is one of indispensable dress ornament of modern.Underwear has absorbing sweat, rectifys type, sets off health, warming and by from the effect of the harm of the filth of health.
Existing underwear only only has common function, and existing underwear cannot be tested the emotion of end user, such as, by the mood of the detection data acquisition end user of underwear, and the moods such as such as pleasure, anger, sorrow, happiness.
Summary of the invention
Embodiment of the present invention object is to provide a kind of emotion wearable system, solves prior art cannot obtain the mood of end user problem by underwear.
The embodiment of the present invention is achieved in that a kind of determination methods of emotion, and described method comprises:
By being arranged on the body temperature of the acquisition user of the cycle sensor in underwear, electrical conductivity and heart rate variability degree, body temperature and electrical conductivity are passed to smart machine by wireless communication module by underwear;
Smart machine is judged by the body temperature, electrical conductivity and the heart rate variability degree that are arranged on body temperature trans in underwear, conductivity sensor, heart rate sensor periodically obtain, body temperature not in preset range, electrical conductivity and heart rate variability degrees of data are given up, is retained in the body temperature in preset range, electrical conductivity and heart rate variability degrees of data;
Smart machine calculates the excited index of user according to the body temperature retained, electrical conductivity and heart rate variability degrees of data;
Smart machine obtains first affection data of user according to this excited index, obtains second affection data of user according to this body temperature, electrical conductivity and heart rate variability degrees of data;
As the first affection data is identical with the second affection data, then confirm that the affection data of user is the first affection data; , the concrete grammar that described smart machine calculates the excited index of user according to the body temperature retained and conductivity data is:
Wherein, mov is excited index,
for the mean value of body temperature, λ is temperature empirical; γ is electrical conductivity empirical
, for the mean value of electrical conductivity, S
irepresent the value of i-th electrical conductivity, n represents the number of the conductivity value of reservation,
for heart rate variability degree mean value.
Optionally, the precision of described body temperature trans is 0.1 DEG C-0.02 DEG C.
Optionally, described conductivity sensor adopts silver, silver chloride electrode or adds plating noble metal and makes.
On the other hand, provide a kind of emotion wearable system, described system comprises: underwear and intelligent terminal, described underwear and intelligent terminal wireless connections;
Described underwear comprises: body temperature trans, conductivity sensor, heart rate sensor, short-range communication module and microprocessor;
Wherein, body temperature trans, for periodically obtaining the body temperature of user, conductivity sensor, for periodically obtaining the electrical conductivity of user; Heart rate sensor is for measuring the heart rate variability degree of heart rate situation of change in special time period;
Short-range communication module, for passing to smart machine by body temperature, electrical conductivity and heart rate variability degree;
Smart machine, for judging the body temperature periodically obtained, electrical conductivity and heart rate variability degree, giving up the body temperature not in preset range, electrical conductivity and heart rate variability degrees of data, being retained in the body temperature in preset range, electrical conductivity and heart rate variability degrees of data; The excited index of user is calculated according to the body temperature retained, electrical conductivity and heart rate variability degrees of data; Obtain first affection data of user according to this excited index, obtain second affection data of user according to this body temperature, electrical conductivity and heart rate variability degrees of data; As the first affection data is identical with the second affection data, then confirm that the affection data of user is the first affection data; Described smart machine specifically for:
Wherein, mov is excited index,
for the mean value of body temperature, λ is temperature empirical; γ is electrical conductivity empirical
, for the mean value of electrical conductivity, S
irepresent the value of i-th electrical conductivity, n represents the number of the conductivity value of reservation,
for heart rate variability degree mean value.
Optionally, the precision of described body temperature trans is 0.1 DEG C-0.02 DEG C.
Optionally, described conductivity sensor adopts silver, silver chloride electrode or adds plating noble metal and makes.
In embodiments of the present invention, technical scheme provided by the invention provides a kind of emotion wearable device, its body temperature detected by this device, electrical conductivity and heart rate variability degree judge the mood of end user, so it has the advantage of the mood obtaining end user, in addition, feature is worn due to underwear, it belongs to and wears next to the skin, and its reliability detected is higher than common wearable device, and also little by ectocine, detect accurately so it has, the feature that precision is high.
Accompanying drawing explanation
Fig. 1 is the flow chart of the determination methods of a kind of emotion provided by the invention;
Fig. 2 is the structure chart of emotion wearable system provided by the invention.
Detailed description of the invention
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The specific embodiment of the invention provides a kind of determination methods of emotion, and the method as shown in Figure 1, comprising:
101, by being arranged on the body temperature of the acquisition user of the cycle sensor in underwear, electrical conductivity and heart rate variability degree, body temperature, electrical conductivity and heart rate variability degree are passed to smart machine by wireless communication module by underwear;
102, smart machine judges the body temperature periodically obtained, electrical conductivity and heart rate variability degree, the body temperature not in preset range, electrical conductivity and heart rate variability degrees of data is given up, is retained in the body temperature in preset range, electrical conductivity and heart rate variability degrees of data;
103, smart machine calculates the excited index of user according to the body temperature retained, electrical conductivity and heart rate variability degrees of data;
104, smart machine obtains first affection data of user according to this excited index, obtains second affection data of user according to this body temperature and conductivity data;
105, as the first affection data is identical with the second affection data, then confirm that the affection data of user is the first affection data.
Above-mentioned affection data is specifically as follows: pleasure, anger, sorrow, happiness, certainly in a practical situation, also can increase some intermediate data, such as, normal etc.
Method provided by the invention adopts body temperature, electrical conductivity and heart rate variability degree to judge affection data, and its judgement belongs to two-way judgement, first irrelevant numerical value is filtered out, Effective Numerical is calculated and judges, then emotion numerical value is calculated, the affection data of its correspondence is judged respectively according to excited exponential sum body temperature, electrical conductivity and heart rate variability degree, then contrast, only when two affection datas are identical, just confirm the result of the affection data of user, this kind of mode has the advantage of accuracy of judgement.
Above-mentioned preset range can by producer's sets itself, and such as, for temperature data, its preset range can be: 34.5 degrees Celsius to 37 degrees Celsius; Exceed this scope then to give up data, because inventor studies discovery, people is when emotion changes, its physiological data, such as body temperature, electrical conductivity and heart rate variability degree can change, but its variable quantity can not be very large, even if mood big ups and downs, body temperature, electrical conductivity and heart rate variability degree also can not exceed the normal value of the mankind, so when exceeding preset range, then can directly determine that user belongs to abnormal condition, such as the state such as high fever, strenuous exercise, this kind of state is not suitable for testing affection data.
Optionally, the precision of above-mentioned body temperature trans is 0.1 DEG C-0.02 DEG C.
Optionally, the first affection data that smart machine obtains user according to this excited index is specifically as follows, set the mapping table of excited index range and affection data, according to the affection data that this excited exponent pair of this excited exponential search is answered, this affection data is the first affection data.
Optionally, the concrete grammar that smart machine calculates the excited index of user according to the body temperature retained, electrical conductivity and heart rate variability degrees of data can be:
Wherein, mov is excited index,
for the mean value of body temperature, λ is temperature empirical; γ is electrical conductivity empirical
, for the mean value of electrical conductivity, S
irepresent the value of i-th electrical conductivity, n represents the number of the conductivity value of reservation,
for heart rate variability degree mean value.
Above-mentioned the second affection data according to this body temperature, electrical conductivity and heart rate variability degrees of data acquisition user is specifically as follows, when determining the emotion of human body, the sampling body temperature of human body, electrical conductivity and heart rate variability degree, the value of body temperature, electrical conductivity and heart rate variability degree and human body affection data are set up mapping table, is obtained the second affection data of human body by this mapping table.
It should be noted that, here body temperature, electrical conductivity and heart rate variability degree is adopted to be because these parameters can embody sympathetic and parasympathetic activity as calculating parameter, integrated application has higher observation resolution ratio, thus can measure human body emotion emotional state more accurately.
Optionally, above-mentioned conductivity sensor adopts silver, silver chloride electrode or adds plating noble metal and makes.
The present invention also provides a kind of emotion wearable system, and described system comprises as shown in Figure 2: underwear 20 and intelligent terminal 21, described underwear and intelligent terminal wireless connections;
Underwear 20 as shown in Figure 2, comprising: body temperature trans 201, conductivity sensor 202, heart rate sensor 208, short-range communication module 203 and microprocessor 204;
Wherein, body temperature trans 201, for periodically obtaining the body temperature of user, conductivity sensor 202, for periodically obtaining the electrical conductivity of user; Heart rate sensor 208, for measuring the heart rate variability degree of heart rate situation of change in special time period;
Short-range communication module 203, for passing to smart machine by body temperature, electrical conductivity and heart rate variability degree;
Smart machine 21, for judging the body temperature periodically obtained, electrical conductivity and heart rate variability degree, body temperature not in preset range, electrical conductivity and heart rate variability degrees of data are given up, is retained in the body temperature in preset range, electrical conductivity and heart rate variability degrees of data; The excited index of user is calculated according to the body temperature retained, electrical conductivity and heart rate variability degrees of data; Obtain first affection data of user according to this excited index, obtain second affection data of user according to this body temperature, electrical conductivity and heart rate variability degrees of data; As the first affection data is identical with the second affection data, then confirm that the affection data of user is the first affection data.
Optionally, the precision of body temperature trans 201 is 0.1 DEG C-0.05 DEG C.
Optionally, smart machine 21 specifically for:
Wherein, mov is excited index,
for the mean value of body temperature, λ is temperature empirical; γ is electrical conductivity empirical,
for the mean value of electrical conductivity, S
irepresent the value of i-th electrical conductivity, n represents the number of the conductivity value of reservation,
for heart rate variability degree mean value.
Optionally, conductivity sensor 202 adopts silver, silver chloride electrode or adds plating noble metal and makes.
Above-mentioned short-range communication module is specifically as follows: the communication module such as bluetooth or WIFI module.Above-mentioned intelligent terminal is specifically as follows: the intellectual computing devices such as mobile phone, ipad, PDA, notebook computer, computer.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. a determination methods for emotion, is characterized in that, described method comprises:
By being arranged on body temperature and the electrical conductivity of the acquisition user of the cycle sensor in underwear, body temperature, skin electric conductivity and heart rate variability degree are passed to smart machine by wireless communication module by underwear;
Body temperature, skin electric conductivity and heart rate variability degree that smart machine is periodically obtained by body temperature trans, conductivity sensor and the heart rate sensor be arranged in underwear judge, body temperature not in preset range, skin electric conductivity and heart rate variability degrees of data are given up, is retained in the body temperature in preset range and conductivity data;
Smart machine calculates the excited index of user according to the body temperature retained, skin electric conductivity and heart rate variability degrees of data;
Smart machine obtains first affection data of user according to this excited index, obtains second affection data of user according to this body temperature, skin electric conductivity and heart rate variability degrees of data;
As the first affection data is identical with the second affection data, then confirm that the affection data of user is the first affection data;
The concrete grammar that described smart machine calculates the excited index of user according to the body temperature retained, skin electric conductivity and heart rate variability degrees of data is:
Wherein, mov is excited index,
for the mean value of body temperature, λ is temperature empirical; γ is electrical conductivity empirical,
for the mean value of electrical conductivity, S
irepresent the value of i-th electrical conductivity, n represents the number of the conductivity value of reservation,
for heart rate variability degree mean value.
2. method according to claim 1, is characterized in that, the precision of described body temperature trans is 0.1 DEG C-0.02 DEG C.
3. method according to claim 1, is characterized in that, described conductivity sensor adopts silver, silver chloride electrode or adds plating noble metal and makes.
4. an emotion wearable system, is characterized in that, described system comprises: underwear and intelligent terminal, described underwear and intelligent terminal wireless connections;
Described underwear comprises: body temperature trans, conductivity sensor, heart rate sensor, short-range communication module and microprocessor;
Wherein, body temperature trans, for periodically obtaining the body temperature of user, conductivity sensor, for periodically obtaining the electrical conductivity of user; Heart rate sensor is for measuring the heart rate variability degree of heart rate situation of change in special time period;
Short-range communication module, for passing to smart machine by body temperature, electrical conductivity and heart rate variability degree;
Smart machine, for judging the body temperature periodically obtained, electrical conductivity and heart rate variability degree, giving up the body temperature not in preset range, electrical conductivity and heart rate variability degrees of data, being retained in the body temperature in preset range, electrical conductivity and heart rate variability degrees of data; The excited index of user is calculated according to the body temperature retained, electrical conductivity and heart rate variability degrees of data; Obtain first affection data of user according to this excited index, obtain second affection data of user according to this body temperature and conductivity data; As the first affection data is identical with the second affection data, then confirm that the affection data of user is the first affection data;
Described smart machine specifically for:
Wherein, mov is excited index,
for the mean value of body temperature, λ is temperature empirical; γ is electrical conductivity empirical,
for the mean value of electrical conductivity, S
irepresent the value of i-th electrical conductivity, n represents the number of the conductivity value of reservation,
for heart rate variability degree mean value.
5. system according to claim 4, is characterized in that, the precision of described body temperature trans is 0.1 DEG C-0.02 DEG C.
6. system according to claim 4, is characterized in that, described conductivity sensor adopts silver, silver chloride electrode or adds plating noble metal and makes.
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| CN201410522198.XA CN104305561B (en) | 2014-09-30 | 2014-09-30 | The determination methods of emotion wearable system and emotion |
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Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104754150A (en) * | 2015-03-05 | 2015-07-01 | 上海斐讯数据通信技术有限公司 | Emotion acquisition method and system |
| CN104994409A (en) * | 2015-06-30 | 2015-10-21 | 北京奇艺世纪科技有限公司 | Media data editing method and device |
| CN105069728A (en) * | 2015-08-19 | 2015-11-18 | 南京邮电大学 | Emotion inference method based on wireless sensor network |
| US9723149B2 (en) * | 2015-08-21 | 2017-08-01 | Samsung Electronics Co., Ltd. | Assistant redirection for customer service agent processing |
| CN105054392A (en) * | 2015-09-18 | 2015-11-18 | 李林国 | Intelligent skirt |
| CN106667467A (en) * | 2017-02-22 | 2017-05-17 | 杨晓明 | Child physiological parameter acquiring and emotion detecting system |
| CN107066956B (en) * | 2017-03-24 | 2020-06-19 | 北京科技大学 | A multi-source emotion recognition robot based on body area network |
| CN110101398A (en) * | 2018-11-29 | 2019-08-09 | 华南理工大学 | A kind of method and system detecting mood |
| CN113509154B (en) * | 2020-04-10 | 2024-07-26 | 广东小天才科技有限公司 | Human body temperature determination method, device, computer equipment and storage medium |
| CN113780546B (en) * | 2020-05-21 | 2024-08-13 | 华为技术有限公司 | A method for evaluating female emotions and related devices and equipment |
| CN111904402A (en) * | 2020-09-07 | 2020-11-10 | 广东省建言智能系统有限公司 | Bra capable of sensing emotion and adjusting emotion |
| CN113545765B (en) * | 2021-07-16 | 2024-04-09 | 厦门硅田系统工程有限公司 | Continuous heart rate output method of heart rate measuring device and heart rate measuring device |
| CN119258363A (en) * | 2024-12-10 | 2025-01-07 | 浙江师范大学 | Feedback device and feedback method based on emotion monitoring |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101370195A (en) * | 2007-08-16 | 2009-02-18 | 英华达(上海)电子有限公司 | Method and device for implementing emotion regulation in mobile terminal |
| CN201839816U (en) * | 2010-10-14 | 2011-05-25 | 夏文璟 | Mood interaction clothing |
| WO2013059833A1 (en) * | 2011-10-21 | 2013-04-25 | Neurotrek, Inc. | Method and system for direct communication |
| CN103504559A (en) * | 2013-10-09 | 2014-01-15 | 苏州金荣华轻纺实业有限公司 | Emotion display clothing |
| CN103584872A (en) * | 2013-10-29 | 2014-02-19 | 燕山大学 | A psychological stress assessment method based on the fusion of multiple physiological parameters |
| CN103916540A (en) * | 2014-03-31 | 2014-07-09 | 惠州Tcl移动通信有限公司 | Information feedback method and mobile terminal |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7319780B2 (en) * | 2002-11-25 | 2008-01-15 | Eastman Kodak Company | Imaging method and system for health monitoring and personal security |
| CN103830841B (en) * | 2012-11-26 | 2018-04-06 | 赛威医疗公司 | Wearable endermic electrical stimulation apparatus and its application method |
| US9361572B2 (en) * | 2013-03-04 | 2016-06-07 | Hello Inc. | Wearable device with magnets positioned at opposing ends and overlapped from one side to another |
-
2014
- 2014-09-30 CN CN201410522198.XA patent/CN104305561B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101370195A (en) * | 2007-08-16 | 2009-02-18 | 英华达(上海)电子有限公司 | Method and device for implementing emotion regulation in mobile terminal |
| CN201839816U (en) * | 2010-10-14 | 2011-05-25 | 夏文璟 | Mood interaction clothing |
| WO2013059833A1 (en) * | 2011-10-21 | 2013-04-25 | Neurotrek, Inc. | Method and system for direct communication |
| CN103504559A (en) * | 2013-10-09 | 2014-01-15 | 苏州金荣华轻纺实业有限公司 | Emotion display clothing |
| CN103584872A (en) * | 2013-10-29 | 2014-02-19 | 燕山大学 | A psychological stress assessment method based on the fusion of multiple physiological parameters |
| CN103916540A (en) * | 2014-03-31 | 2014-07-09 | 惠州Tcl移动通信有限公司 | Information feedback method and mobile terminal |
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