CN204671149U - A kind of intelligent clothing realizing real-time monitoring of fatigue - Google Patents

A kind of intelligent clothing realizing real-time monitoring of fatigue Download PDF

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Publication number
CN204671149U
CN204671149U CN201520193424.4U CN201520193424U CN204671149U CN 204671149 U CN204671149 U CN 204671149U CN 201520193424 U CN201520193424 U CN 201520193424U CN 204671149 U CN204671149 U CN 204671149U
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data
skin
clothing
group
fatigue
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张隼
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Shenzhen sanduge culture and art Consulting Co., Ltd
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Soft Micro Sensing Science And Technology Ltd In Shenzhen
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Abstract

This utility model relates to intelligent wearing field, is specifically related to a kind of intelligent clothing realizing real-time monitoring of fatigue.Comprise the clothing fitted with human physiological structure, be located at the microprocessor system main frame on clothing and physiology of exercise data acquisition end, this physiology of exercise data acquisition end comprises at least two kinds of sensor groups in strain gauge transducer group, EMG sensor group and skin electric transducer; Described strain gauge transducer group, EMG sensor group are all connected with microprocessor system main frame with skin electric transducer group; Described microprocessor system main frame comprises, and micro treatment module also comprises alarm module and/or communication module.The physiology of exercise data of the correspondence of at least two sensors group collection and the physiological threshold preset can contrast by this utility model embodiment, when gather physiology of exercise data in have at least a kind of lower than preset physiological threshold time, judge that user is in fatigue state, thus realize Real-Time Monitoring and assurance fatigue state whenever and wherever possible.

Description

A kind of intelligent clothing realizing real-time monitoring of fatigue
Technical field
This utility model relates to intelligent wearing field, is specifically related to a kind of intelligent clothing realizing real-time monitoring of fatigue.
Background technology
Fatigue is the recurrent physiological phenomenon of human body, and with regard to human body integral, fatigue all belongs to fatigue of feeling absolutely mostly.Human-body fatigue generally has slight fatigue, obviously fatigue, major fatigue, excessive and extremely tired several degree scope.Press histoorgan and function thereof to divide, nervous fatigue, comprise that cerebral nerve network is tired, vegetative nerve is tired, optic nerve, acoustic nerve, limbs local and whole body fatigue etc.Cause the reason of human-body fatigue a lot, as not science, unreasonable or excessive of moving, excess or high strength, large excessive movement, sleep improper, long-term nervous and obvious various pressure etc.Fatigue makes that people feels tired, sleepy, muscular soreness, detest, hypomnesis, inefficiency easily make mistakes, easily cause security incident.Excessive fatigue, spy is standby is after large motion, tired performance dripping sweat, pale complexion, exercise not harmony, the whole body is weak and limp, if and the storage of chronic fatigue can not improve in time, will cause have a delicate constitution, catch a cold, cardiovascular, corrugated hose, spirituality, the disease such as intermuscular bone joint, so have important practical significance to human-body fatigue status real time monitor indication and following the trail of.
Following several types is comprised for the monitoring of human body movement data in prior art, 1, pass through video acquisition, obtain face-image or the eyes image of multiframe, tested person's face feature position is gone out according to the initial point calibrated and calculated of face, judge that the closure state of human eye and face analyzes human-body fatigue state, and eyes image monitoring method is face-image by collecting orients eye locations, infrared image based on eye locations obtains the data of eye motion characteristic, thus analyze human-body fatigue status data, some utility models are also had to be calculate fatigue level of human body by video camera or the infrared cymometer capturing eyes saccade in addition.
2, pass through the human body physiological parameters such as the pulse peak value of collection human body, electrocardio, fluctuations in blood, sound frequency, brain electricity and saliva, extract signature analysis and go out fatigue level of human body.
3, step state acceleration signal monitoring method, adopts acceleration transducer, by the step state acceleration reference signal of level walking during the non fatigue feeling that collects in advance, with motion or tired time the signal that collects contrast, analyze human-body fatigue signal.
But when adopting the mode of Class1 to measure, tested person's face feature position is gone out according to the initial point calibrated and calculated of face, judge that closure state or the saccade frequency analysis of human eye and face go out human-body fatigue state, need specific environment and auxiliary facilities just can complete monitoring, and cannot monitor the fatigue of joint at human body limb position, Skeletal Muscle Fatigue; Type 2 judges human-body fatigue state by human physiological reaction method of testing or human body physiological parameter method, part utility model data acquisition source is single, erroneous judgement probability strengthens, that can accomplish multiple human body physiological parameter acquisition is also easily subject to environment, the accuracy that the individual behavior factor impacts such as living habit judge, and need auxiliary facilities and personnel to coordinate monitoring, cannot accomplish to monitor at any time and monitor with testee oneself; Type 3 point of three step, first take benchmark data at human body without walking under fatigue state, the data taked of then walking under human-body fatigue state and benchmark data relative analysis draw tired threshold values, finally carry out fatigue monitoring by tired threshold values exactly.First everyone body constitution is different, the degree of fatigue experienced is different, in life or motor process, be not allow people feel fatigue is only fatigue, some fatigue cannot be found by visual sense, and sick state, individual behavior etc. all can have influence on the acquisition of reference signal, reference signal inaccurate, badly influences tired judgment accuracy.
Utility model content
This utility model embodiment provides a kind of intelligent clothing realizing real-time monitoring of fatigue, can carry out Real-Time Monitoring whenever and wherever possible to human-body fatigue state, makes intelligent clothing dress people and understands its current fatigue conditions in real time.
In view of this, a kind of intelligent clothing realizing real-time monitoring of fatigue that this utility model embodiment provides, can comprise: comprise the clothing fitted with human physiological structure, described clothing are provided with microprocessor system main frame, described clothing are also provided with the physiology of exercise data acquisition end for gathering at least two kinds of physiology of exercise data be connected with described microprocessor system main frame;
Described physiology of exercise data acquisition end comprises the strain gauge transducer group of the joint motions data gathered in physiology of exercise data, gather at least two kinds of sensor groups among electromyographic signal (EMGelectromyogram) the sensor group of the myoelectricity data in physiology of exercise data and the skin electric transducer group of the electric data of the skin gathered in physiology of exercise data, often kind of described sensor group all comprises the sensor of more than one corresponding described sensor group, described EMG sensor group corresponding human muscle locate to arrange, the corresponding human synovial place of described strain gauge transducer group is arranged, the corresponding human body skin place of described skin electric transducer group is arranged,
Wherein, described microprocessor system main frame comprises for judging whether tired micro treatment module according at least one among described joint motions data, described myoelectricity data and described skin electricity data; Also comprise the alarm module for tired alarm that is all connected with described micro treatment module and/or the communication module with peripheral device communication.
In conjunction with first aspect, in the first possible implementation of first aspect, described alarm module comprises at least one among vibrations motor, LED light and speaker;
In conjunction with first aspect, in the implementation that the second of first aspect is possible, described communication module comprises wireless communication module and/or wire communication module;
In conjunction with first aspect, in the third possible implementation of first aspect, described clothing are also fixed with shielded conductor, described strain gauge transducer group, EMG sensor group are all connected with micro treatment module by described shielded conductor with skin electric transducer group;
In conjunction with first aspect, in the 4th kind of possible implementation of first aspect, in described strain gauge transducer, EMG sensor and skin electric transducer, has a kind of flexible sensor for being integrated on clothing at least;
In conjunction with among the 4th kind of possible implementation of the third possible implementation of the possible implementation of the second of the first possible implementation of first aspect, first aspect, first aspect, first aspect, first aspect any one, in the 5th kind of possible implementation of first aspect, described clothing are jacket, described jacket is provided with at least two kinds of sensor groups among strain gauge transducer group, EMG sensor and skin electric transducer group
Wherein, described strain gauge transducer group is arranged at corresponding neck and/or upper limb joint place on described jacket;
Described EMG sensor group is arranged at corresponding human upper limb skeletal muscle place on described jacket;
Described skin electric transducer group is arranged at corresponding human body upper body skin place on described jacket;
Described microprocessor system main frame hangs in the main body of jacket.
In conjunction with among the 4th kind of possible implementation of the third possible implementation of the possible implementation of the second of the first possible implementation of first aspect, first aspect, first aspect, first aspect, first aspect any one, in the 6th kind of possible implementation of first aspect, described clothing are lower trousers, and described lower trousers are provided with at least two kinds of sensor groups among strain gauge transducer group, EMG sensor group and skin electric transducer group;
Wherein, described strain gauge transducer group is arranged at corresponding human body lower limbs joint on described lower trousers;
Described EMG sensor group is arranged at corresponding human body lower limbs skeletal muscle place on described lower trousers;
Described skin electric transducer group is arranged at corresponding human body lower limbs skin place on described lower trousers;
Described microprocessor system main frame hangs in the main body of lower trousers.
As can be seen from the above technical solutions, this utility model embodiment has the following advantages: this utility model embodiment adopts the clothing of fitting with human physiological structure, and strain gauge transducer group collection joint motions data are set by human synovial place corresponding on these clothing, on clothing, corresponding human muscle place arranges EMG sensor group and gathers myoelectricity data, the skin electricity data that skin electric transducer group gathers human body are set at human body skin place, three kinds of sensor groups at least arrange two groups on clothing, and the human motion physiological data of the correspondence of at least two sensors group collection and the physiological threshold preset are contrasted, when gather physiology of exercise data in have at least a kind of lower than preset physiological threshold time, judge that user is in fatigue state, as gather joint motions data lower than joint motions threshold value and gather myoelectricity data lower than myoelectricity change threshold time, it is in fatigue state to notify to dress people by intelligent clothing by the mode of reporting to the police, also by communication module, the result judged is sent to external equipment, to make result described in external equipment Real-Time Monitoring, thus intelligent clothing can be enable to dress people by external equipment Real-Time Monitoring judged result, thus realize the object of Real-Time Monitoring fatigue state whenever and wherever possible, other to joint by three kinds of sensor components, among muscle and skin surface, at least two class positions are monitored, thus current kinetic can be judged accurately, by strain gauge transducer monitoring joint motions data determination operating state, by the functional status of EMG Sensor monitoring myoelectricity data determination peripheral nervous and muscle itself, by the skin electricity data determination sweat gland secretion level of skin electrical sensor monitors human body, thus current fatigue conditions can be held in real time.
Accompanying drawing explanation
In order to be illustrated more clearly in this utility model embodiment or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments more of the present utility model, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is that of this utility model embodiment intelligent clothing implements illustration;
Fig. 2 is that of micro treatment module in this utility model embodiment intelligent clothing implements illustration;
Fig. 3 is that of alarm module in this utility model embodiment intelligent clothing implements illustration;
Fig. 4 is another enforcement illustration of this utility model embodiment intelligent clothing;
Fig. 5 is another enforcement illustration of this utility model embodiment intelligent clothing.
Detailed description of the invention
Embodiments provide a kind of method and the intelligent clothing that realize real-time monitoring of fatigue, Real-Time Monitoring can be carried out whenever and wherever possible to human-body fatigue state, make intelligent clothing dress people and understand its current fatigue conditions in real time.
The present invention program is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a part of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
Below be described in detail respectively.
Term " first ", " second ", " the 3rd " " 4th " etc. (if existence) in description of the present invention and claims and above-mentioned accompanying drawing are for distinguishing similar object, and need not be used for describing specific order or precedence.The embodiments described herein should be appreciated that the data used like this can be exchanged in the appropriate case, so that can be implemented with the order except the content except here diagram or description.In addition, term " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, such as, contain those steps or module that the process of series of steps or module, method, system, product or equipment is not necessarily limited to clearly list, but can comprise clearly do not list or for intrinsic other step of these processes, method, product or equipment or module.
Refer to Fig. 1, Fig. 1 composition graphs 4 or Fig. 5, for an enforcement illustration of the intelligent clothing of the embodiment of the present invention, following content can be comprised: comprise the clothing 1 fitted with human physiological structure, clothing 1 are provided with microprocessor system main frame 2, clothing 1 are also provided with the physiology of exercise data acquisition end for gathering at least two kinds of physiology of exercise data be connected with microprocessor system main frame 2;
Physiology of exercise data acquisition end comprises at least two kinds of sensor groups among strain gauge transducer group, EMG sensor group and skin electric transducer group, often kind of sensor group comprises one respectively with upper sensor, the corresponding human synovial place of strain gauge transducer group is arranged, EMG sensor group corresponding human muscle locate to arrange, and the corresponding human body skin place of skin electric transducer group is arranged;
Physiology of exercise data comprise myoelectricity data that joint motions data that strain gauge transducer group gathers from human synovial, EMG sensor group gather from human muscle and the skin electricity data that skin electric transducer group gathers from skin;
Wherein, microprocessor system main frame 2 comprises,
Micro treatment module 21, for the preset physiological threshold corresponding with physiology of exercise data, physiological threshold comprises the joint motions threshold value corresponding with joint motions data, the myoelectricity change threshold corresponding with myoelectricity data and the skin electricity level thresholds corresponding with skin electricity data;
Also for receive and judge receive at least two kinds of physiology of exercise data in whether have at least a kind of lower than preset physiological threshold corresponding to physiology of exercise data;
Microprocessor system main frame 2 also comprises,
Alarm module 22, during for being determined to rare a kind of physiology of exercise data when micro treatment module 21 lower than preset physiological threshold corresponding to physiology of exercise data, reports to the police;
And/or,
Communication module 23, is sent to external equipment for the result judged by micro treatment module 21, to make external equipment Real-Time Monitoring result.
Wherein, alarm module 22 and communication module 23 can select wherein a kind of outfit according to practical situation, or two kinds are all equipped with.
Wherein, whether tired the result of this judgement comprise the result data judged and to the joint motions data that should judge, joint motions threshold value, myoelectricity data, myoelectricity change threshold, skin electricity data and skin electricity level thresholds, when being sent to external equipment, can to joint motions data on external equipment, joint motions threshold value, myoelectricity data, myoelectricity change threshold, the result data of skin electricity data and skin electricity level thresholds and whether fatigue is all shown, obviously the whether tired result data judged can also only be sent, or send the whether tired result data judged simultaneously, joint motions data, myoelectricity data and skin electricity data, different according to the difference of practical situation, specifically be not construed as limiting.
The embodiment of the present invention adopts the clothing 1 of fitting with human physiological structure, and strain gauge transducer group collection joint motions data are set by human synovial place corresponding on these clothing 1, on clothing 1, corresponding human muscle place arranges EMG sensor group and gathers myoelectricity data, the skin electricity data that skin electric transducer 5 gathers human body are set at human body skin place, three kinds of sensor groups at least arrange two groups on clothing 1, and the physiology of exercise data of the correspondence of at least two sensors group collection and the physiological threshold preset are contrasted, when gather physiology of exercise data in have at least a kind of lower than preset physiological threshold time, as the joint motions data that gather lower than the myoelectricity data of joint motions threshold value and/or collection lower than myoelectricity change threshold time, it is in fatigue state to notify to dress people by intelligent clothing by the mode of reporting to the police, also by communication module, the result judged is sent to external equipment, to make result described in external equipment Real-Time Monitoring, thus intelligent clothing can be enable to dress people by external equipment Real-Time Monitoring judged result, thus realize the object of Real-Time Monitoring fatigue state whenever and wherever possible, other to joint by three kinds of sensor components, among muscle and skin surface, at least two class positions are monitored, thus current fatigue state can be judged accurately, monitor joint motions data determination joint part by strain gauge transducer 3 to bend and rotating manner, rotation is held time, amplitude, the frequency, monitor skeletal muscle by EMG sensor 4 and obtain electromyographic signal feature, intensity, power, frequency, time-histories, obtain skin resistance data by skin electric transducer 5 monitoring human skin, thus current fatigue conditions can be held in real time.
Wherein, it is as shown in the table for the Testing index that the physiology of exercise data of strain gauge transducer 3 and EMG sensor 4 collection are corresponding:
Table 1
In addition, the skin electricity data that skin electric transducer 5 gathers are sweat gland secretion index, i.e. skin perspiration level, measured by skin resistance etc., its more conductive capability of skin that makes of salt component be specially in antiperspirant increases, skin resistance declines, the embodiment of the present invention is when judging whether the physiology of exercise data gathered exceed preset physiological threshold, adoptable a kind of mode is that the physiology of exercise data analysis by gathering goes out Human Physiology index in upper table 1 and/or sweat gland secretion index, physiological threshold also has corresponding Human Physiology index and/or sweat gland secretion index, therefore, when the Human Physiology index that goes out of physiology of exercise data analysis gathered and/or sweat gland secretion index are lower than Human Physiology index corresponding to physiological threshold and/or sweat gland secretion index, namely judge that physiology of exercise data are lower than physiological threshold, thus judge that user is in fatigue state.
Wherein, as optionally, alarm module specifically for carrying out the warning of corresponding level according to the quantity lower than the physiology of exercise data of physiological threshold, shown in table 2 to table 5 specific as follows,
Table 2
Skin electric transducer 5 1 1 1 0 0 1 0 0
EMG sensor 4 1 1 0 0 1 0 0 0
Strain gauge transducer 3 1 0 0 0 1 1 1 1
Fatigue exponent 3 2 1 0 2 2 1 1
Table 3
Skin electric transducer 5 1 1 0 0
EMG sensor 4 1 0 1 0
Fatigue exponent 2 1 1 0
Table 4
Skin electric transducer 5 1 1 0 0
Strain gauge transducer 3 1 0 1 0
Fatigue exponent 2 1 1 0
Table 5
Strain gauge transducer 3 1 1 0 0
EMG sensor 4 1 0 1 0
Fatigue exponent 2 1 1 0
Wherein, table 2 is the fatigue monitoring mode of skin electric transducer 5, EMG sensor 4 and strain gauge transducer 3 three kinds of sensor combinations; Table 3 combines for skin electric transducer 5 and EMG sensor 4; Table 4 combines for skin electric transducer 5 and strain gauge transducer 3; Table 5 combines for strain gauge transducer 3 and EMG sensor 4.
Wherein, in table, " 0 " at sensor place represents that the corresponding physiology of exercise data of this sensor acquisition are not less than default physiological threshold, and " 1 " represents that the corresponding physiology of exercise data of this sensor acquisition are lower than the physiological threshold preset; Fatigue exponent is divided into fourth gear, fatigue exponent " 0 " represents that user is in non-fatigue state, fatigue exponent " 1 " represents that user is in slight fatigue state, fatigue exponent " 2 " represents that user is in moderate fatigue state, fatigue exponent " 3 " represents that user is in sever fatigue state, according to this different classification warning way, user can to the fatigue state situation of change of overall understanding self.
In the present embodiment, as optionally, micro treatment module 21 is also for by the movement range of joint motions data and myoelectricity data determination human action and action dynamics, wherein, joint motions data are in order to indicate the intensity of variation in concrete joint, i.e. degree of crook, myoelectricity data are EMG sensor 4 Real-time Collection muscle and perineural bioelectrical signals, thus the physiologic information data that the muscular movement in acquisition human motion changes, i.e. myoelectricity data, the functional status of these myoelectricity data reflection peripheral nerve and muscle, the joint motions data of the joint that these myoelectricity data control in conjunction with muscle can be drawn movement range and the action dynamics of corresponding human body action by micro treatment module 21, the skin electricity level of the main testing human of the skin electric transducer 5 in the present embodiment, human body causes sweat gland activity to be strengthened owing to moving, secretion perspiration is more, because salt component in antiperspirant is more, skin conductivity ability is increased, form large galvanic skin response, in conjunction with the monitoring to human action, as when the joint motions data of this human action and/or myoelectricity data are in preset joint motions threshold value and/or myoelectricity change threshold, and when now the skin electricity level of human body is higher, then judge that human body is in non-fatigue state, and when joint motions data and/or myoelectricity data are lower than preset joint motions threshold value and myoelectricity change threshold, and/or record again skin electricity level lower time, then judge that human body is in fatigue state, need to warn it.
It should be noted that, in actual monitoring process, the basic parameter of the equal corresponding human body of preset every numerical value, as for a certain action, due to all ages and classes, different height is actual with every data of the action that different sexes shows is not identical, namely different standards is had for these different attributes, therefore preset in embodiment of the present invention threshold value is corresponding with the height of human body, age and sex, when monitoring, by being arranged at the input equipment on microprocessor system main frame, as keyboard sets these attributes, then monitor.
In the present embodiment, as optionally, referring to Fig. 2, is the structural representation of micro treatment module in intelligent clothing embodiment of the present invention, comprising of this micro treatment module 21:
Memory element 211, for storing moving physiological data and the physiological threshold corresponding with physiology of exercise data;
Receiving element 212, for receiving at least two kinds of physiology of exercise data;
Judging unit 213, judge receive at least two kinds of physiology of exercise data in whether have at least a kind of lower than preset physiological threshold corresponding to physiology of exercise data.
Can find out, the specific works process of micro treatment module 21 is, first receiving element 212 receives the skin electricity data that the joint motions data of strain gauge transducer 3 collection and the myoelectricity data of EMG sensor 4 collection and skin electric transducer 5 gather, the joint motions data that this strain gauge transducer 3 gathers are different according to the type difference of strain gauge transducer 3, as strain tension sensor, strain pressure transducer, strain-type torque sensor, strain-type sensor, strain gauge acceleration transducer, strain-type temperature sensors etc. gather respectively measures pulling force, pressure, moment of torsion, displacement, the multiple physical quantity such as acceleration and temperature, thus obtain the basic physiological feature of human body, EMG sensor 4 is by gathering muscle and perineural bioelectrical signals, thus the physiologic information data of muscular movement state in acquisition human motion, i.e. myoelectricity data, skin electric transducer 5 mainly gathers the skin electricity level of human body, the sweat gland of skin secretion level of skin electricity level and human body is closely related, when skin electricity level (skin resistance) is lower, sweat gland of skin secretion level is higher, memory element 211 storage inside has the joint motions data of corresponding value type, joint motions threshold value, myoelectricity data, myoelectricity change threshold, skin electricity data and skin electricity level thresholds, judging unit 213 is compared to the joint motions threshold value of the joint motions data received with preset corresponding human action, the myoelectricity change threshold of the myoelectricity data received with preset corresponding human action is compared, and the skin electricity data received are compared with the skin electricity level thresholds of preset corresponding human action, according to the difference of comparative result, judge whether human body is in fatigue state, as monitored joint motions data, myoelectricity data and skin electricity data among two kinds of data, and have at least in these two kinds of data a kind of lower than preset corresponding threshold value time, then judge that human body is in fatigue state, or for monitor joint motions data simultaneously, myoelectricity data and skin electricity data three kinds of data, and have at least among these three kinds of data a kind of lower than preset corresponding threshold value time, also can judge that human body is in fatigue state, except said circumstances, then judge to be in non-fatigue state, wherein this joint motions threshold value and myoelectricity change threshold can be a fixing numerical value, also can be one and represent the normal numerical range of kinestate, other numerical value that also install beforehand is relevant with myoelectricity change threshold to this joint motions threshold value, the joint flexion angle value that the joint motions data gathered as the unit interval and myoelectricity data analysis go out, movement range changing value, numerical range operating frequency and time coefficient, maintain coefficient, the data such as spreading coefficient, system is built-in establishes action upper limit, multiple statistical model and the modes of warnings such as human action tracking, limitedly can prevent joint injury, muscle sprain etc. are unexpected to be occurred.The operating state, movement time length etc. of current kinetic is analyzed as analysis foundation in conjunction with principle built-in system parameter presets such as human body physiological characteristics, skeletons.
Wherein, memory element 211 also judges daily record for storing fatigue, and fatigue judges to indicate tired judged result and the joint motions data corresponding with tired judged result, myoelectricity data and skin electricity data in daily record;
Micro treatment module also comprises daily record tracing unit 214, for judging that according to the fatigue be stored in memory element daily record generates fatigue state information.
Micro treatment module 21 carries out record to each tired judge process in the mode of daily record, and is stored in memory element 211, is connected to microprocessor system main frame 2 and checks that this fatigue judges daily record by communication module 23; Micro treatment module 21 also can judge based on daily record by this fatigue, analytic statistics is carried out to the tired daily record in a period of time, and the fatigue state information generated in a period of time, user directly can check that this fatigue state information is learnt in previous time period and self fatigue state situation have a better understanding to the health of self.
Wherein, refer to Fig. 3, as optionally, for the structural representation of alarm module in intelligent clothing embodiment of the present invention, this alarm module 22 comprises at least one among vibrations motor 221, LED light 222 and speaker 223, and difference according to the actual requirements can select different collocation modes, as under quiet environment, can select to shake motor 221, point out position, intelligent clothing user concrete certain to be in fatigue state by its vibrations; LED light 222 and speaker 223 also can select the collocation of the environment of corresponding demand to arrange.
It should be noted that, the mode that vibrations motor 221 shakes, the mode that LED light 222 indicates and sounding of speaker 223 can be different according to the position difference of warning, as for vibrations motor 221, long vibrations represent that thigh place and knee joint are everywhere in fatigue state, short vibrations represent that cervical vertebra is everywhere in fatigue state etc., for LED light 222, normal bright expression thigh place and knee joint are everywhere in fatigue state, glittering cervical vertebra is everywhere in fatigue state etc., for speaker 223, very brief buzzing represents that thigh place and knee joint are everywhere in fatigue state, continuous print buzzing represents cervical vertebra everywhere in fatigue state etc., different warning ways can be set according to the difference at the position of intelligent clothing monitoring, specifically do not limit.
Wherein, as optionally, communication module 23 can adopt wire communication module 231 or wireless communication module 232 or the two all adopts, wherein wire communication module can carry out data interaction with equipment such as PCs, adopt wireless communication module can carry out data interaction with same other equipment with wireless telecommunications system, as equipment such as panel computer, mobile phone and notebook computers, again by these equipment to joint motions data real time inspection, analysis, statistics and storage, and by these equipment by joint motions data upload to server or network high in the clouds.
Wherein, strain gauge transducer 3, EMG sensor 4 are connected with microprocessor system main frame 2 by the shielded conductor 4 be arranged on clothing 1 with skin electric transducer 5, and shielded conductor 4 is built in the material of clothing 1 by the mode sewed up.Be understandable that, adopt shielded conductor 4 can shield the interference of other signals, the joint motions data that microprocessor system main frame 2 is received are owing to being interfered, thus more accurate.
Wherein, as optionally, in strain gauge transducer 3, EMG sensor 4 and skin electric transducer 5, at least one can adopt the flexible sensor of better effects if of fitting with clothing 1, this flexible sensor has the character that significantly can bend, stretch, can meet the requirement of the pliability of the clothing 1 that user couple and human physiological structure fit after integrated with clothing 1, and the precision adopting the clothing 1 of flexible sensor to monitor is higher, monitoring range is larger, it is wider to be suitable for position.
It should be noted that, according to the difference at monitoring position, different to the monitoring of fatigue under embodiment of the present invention clothing 1 pair of different situations, be explained respectively below by way of jacket and lower trousers:
One, jacket mode is adopted to monitor, refer to Fig. 4, for an enforcement illustration of the intelligent clothing of the embodiment of the present invention, in the present embodiment, clothing 1 are jacket, strain gauge transducer 3 in strain gauge transducer group is arranged at corresponding human body shoulder joint and elbow joint place on jacket respectively, EMG sensor 4 in EMG sensor group is arranged at corresponding human body biceps brachii m. and brachioradialis place on jacket respectively, skin electric transducer 5 is arranged at back skin place on described jacket, and microprocessor system main frame 2 hangs on waist place on jacket.
It should be noted that, the compound mode of sensor group is except the mode that above-mentioned strain gauge transducer 3 and EMG sensor 4 and skin electric transducer 5 combine, also there is the compound mode of strain gauge transducer 3 and EMG sensor 4, and the mode of strain gauge transducer 3 and skin electric transducer 5 combination, and the compound mode of EMG sensor 4 and skin electric transducer 5, the object of fatigue monitoring can be reached equally, strain gauge transducer 3, EMG sensor 4 and skin electric transducer 5 and the position of microprocessor system main frame 2 on jacket arrange the position being not limited to describe in the present embodiment, can arrange according to practical situation, only need to ensure the corresponding human synovial place of strain gauge transducer 3, the corresponding human muscle place of EMG sensor 4, the corresponding human body skin place of skin electric transducer 5, microprocessor system main frame 2 can hang on jacket according to its true form, specifically be not construed as limiting.
The specific works process of the present embodiment is: the user of this intelligent clothing has dressed intelligent clothing, then can start the power supply of intelligent clothing, input equipment on microprocessor system main frame 2 or to be connected as input equipment inputting actual basic physiological information with microprocessor system main frame 2 by communication module, as height data, age data and gender data, and start to carry out fatigue monitoring, first the joint motions data of human body shoulder joint and elbow joint are gathered by strain gauge transducer 3, EMG sensor 4 gathers the myoelectricity data at human body biceps brachii m. and brachioradialis place, and skin electric transducer 5 gathers the skin electricity data at human body back skin place, processed by the micro treatment module 21 in microprocessor system main frame 2 again, with the joint motions data in a period of time of these different parts, myoelectricity data and skin electricity data based on, when wherein at least one physiology of exercise data is less than physiological threshold, then judge that human body is in fatigue state, and infer fatigue state rank according to the number of the physiology of exercise data being less than physiological threshold, otherwise, then be in non-fatigue state, after determining to be in fatigue state, being recorded this process judged by micro treatment module 21 and generated daily record is stored in micro treatment module 21, and statistical analysis is carried out to the daily record stored in a period of time, generate tired judgement information, the user notifying these clothing 1 in two ways can be adopted simultaneously, the first sends warning by the vibrations motor 221 that is provided with in microprocessor system main frame 2 or LED 222 or speaker 223, point out the user of this jacket its be in fatigue state, or also can by the result of this fatigue state by communication module 23, as being sent on the mobile phone of the user of these clothing 1 by wireless communication module 232, so that make this user's energy real time inspection and learn that its a certain monitored site is in fatigue state by judged result, user is also connected to the 2 pairs of daily records of microprocessor system main frame by communication module 23 and the fatigue in a period of time judges that information is checked.
One, lower trousers mode is adopted to monitor, refer to Fig. 5, for an enforcement illustration of the intelligent clothing of the embodiment of the present invention, in the present embodiment, clothing 1 are lower trousers, strain gauge transducer 3 in strain gauge transducer group is arranged at corresponding human body knee joint place on lower trousers respectively, EMG sensor 4 in EMG sensor group is arranged at corresponding human body quadriceps femoris and gastrocnemius place on lower trousers respectively, skin electric transducer 5 is arranged at corresponding human thigh's skin place on described lower trousers, and microprocessor system main frame 2 hangs on waist place on lower trousers.
It should be noted that, the compound mode of sensor group is except the mode that above-mentioned strain gauge transducer 3 and EMG sensor 4 and skin electric transducer 5 combine, also there is the compound mode of strain gauge transducer 3 and EMG sensor 4, and the mode of strain gauge transducer 3 and skin electric transducer 5 combination, and the compound mode of EMG sensor 4 and skin electric transducer 5, the object of fatigue monitoring can be reached equally, strain gauge transducer 3, EMG sensor 4 and skin electric transducer 5 and the position of microprocessor system main frame 2 on lower trousers arrange the position being not limited to describe in the present embodiment, can arrange according to practical situation, only need to ensure the corresponding human synovial place of strain gauge transducer 3, the corresponding human muscle place of EMG sensor 4, the corresponding human body skin place of skin electric transducer 5, microprocessor system main frame 2 can hang on lower trousers according to its true form, specifically be not construed as limiting.
The specific works process of the present embodiment is: the user of this intelligent clothing has dressed intelligent clothing, then can start the power supply of intelligent clothing, input equipment on microprocessor system main frame 2 or to be connected as input equipment inputting actual basic physiological information with microprocessor system main frame 2 by communication module, as height data, age data and gender data, and start to carry out fatigue monitoring, first the joint motions data of human body knee joint are gathered by strain gauge transducer 3, EMG sensor 4 gathers the myoelectricity data at human body quadriceps femoris and gastrocnemius place, and skin electric transducer 5 gathers the skin electricity data at human thigh's skin place, processed by the micro treatment module 21 in microprocessor system main frame 2 again, with the joint motions data in a period of time of these different parts, myoelectricity data and skin electricity data basis, when wherein at least one physiology of exercise data is less than physiological threshold, then judge that human body is in fatigue state, and infer fatigue state rank according to the number of the physiology of exercise data being less than physiological threshold, otherwise, then be in non-fatigue state, after determining to be in fatigue state, being recorded this process judged by micro treatment module 21 and generated daily record is stored in micro treatment module 21, and statistical analysis is carried out to the daily record stored in a period of time, generate tired judgement information, the user notifying these clothing 1 in two ways can be adopted simultaneously, the first sends warning by the vibrations motor 221 that is provided with in microprocessor system main frame 2 or LED 222 or speaker 223, point out the user of these lower trousers its be in fatigue state, or also can by the result of this fatigue state by communication module 23, as being sent on the mobile phone of the user of these clothing 1 by wireless communication module 232, so that make this user's energy real time inspection and learn its fatigue state by judged result, user is also connected to the 2 pairs of daily records of microprocessor system main frame by communication module 23 and the fatigue in a period of time judges that information is checked.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiments that the application provides, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the INDIRECT COUPLING of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed on multiple NE.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of this utility model can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that the technical solution of the utility model contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of this utility model.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. various can be program code stored medium.
The above, above embodiment only in order to the technical solution of the utility model to be described, is not intended to limit; Although be described in detail this utility model with reference to previous embodiment, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of each embodiment technical scheme of this utility model.

Claims (7)

1. one kind realizes the intelligent clothing of real-time monitoring of fatigue, it is characterized in that, comprise the clothing fitted with human physiological structure, described clothing are provided with microprocessor system main frame, described clothing are also provided with the physiology of exercise data acquisition end for gathering at least two kinds of physiology of exercise data be connected with described microprocessor system main frame;
Described physiology of exercise data acquisition end comprises the strain gauge transducer group of the joint motions data gathered in physiology of exercise data, gather at least two kinds of sensor groups among the EMG sensor group of the myoelectricity data in physiology of exercise data and the skin electric transducer group of the electric data of the skin gathered in physiology of exercise data, often kind of described sensor group all comprises the sensor of more than one corresponding described sensor group, described EMG sensor group corresponding human muscle locate to arrange, the corresponding human synovial place of described strain gauge transducer group is arranged, the corresponding human body skin place of described skin electric transducer group is arranged,
Wherein, described microprocessor system main frame comprises for judging whether tired micro treatment module according at least one among described joint motions data, described myoelectricity data and described skin electricity data; Also comprise the alarm module for tired alarm that is all connected with described micro treatment module and/or the communication module with peripheral device communication.
2. the intelligent clothing realizing real-time monitoring of fatigue according to claim 1, is characterized in that: described alarm module comprises at least one among vibrations motor, LED light and speaker.
3. the intelligent clothing realizing real-time monitoring of fatigue according to claim 1, is characterized in that: described communication module comprises wireless communication module and/or wire communication module.
4. the intelligent clothing realizing real-time monitoring of fatigue according to claim 1, it is characterized in that: described clothing are also fixed with shielded conductor, described strain gauge transducer group, EMG sensor group are all connected with micro treatment module by described shielded conductor with skin electric transducer group.
5. the intelligent clothing realizing real-time monitoring of fatigue according to claim 1, is characterized in that: have a kind of flexible sensor for being integrated on clothing at least in described strain gauge transducer group, EMG sensor group and skin electric transducer group.
6. the intelligent clothing realizing real-time monitoring of fatigue according to any one of claim 1 to 5, it is characterized in that: described clothing are jacket, described jacket is provided with at least two kinds of sensor groups among strain gauge transducer group, EMG sensor group and skin electric transducer group
Wherein, described strain gauge transducer group is arranged at corresponding neck and/or upper limb joint place on described jacket;
Described EMG sensor group is arranged at corresponding human upper limb skeletal muscle place on described jacket;
Described skin electric transducer group is arranged at corresponding human body upper body skin place on described jacket;
Described microprocessor system main frame hangs in the main body of jacket.
7. the intelligent clothing realizing real-time monitoring of fatigue according to any one of claim 1 to 5, it is characterized in that: described clothing are lower trousers, described lower trousers are provided with at least two kinds of sensor groups among strain gauge transducer group, EMG sensor group and skin electric transducer group;
Wherein, described strain gauge transducer group is arranged at corresponding human body lower limbs joint on described lower trousers;
Described EMG sensor group is arranged at corresponding human body lower limbs skeletal muscle place on described lower trousers;
Described skin electric transducer group is arranged at corresponding human body lower limbs skin place on described lower trousers;
Described microprocessor system main frame hangs in the main body of lower trousers.
CN201520193424.4U 2015-04-01 2015-04-01 A kind of intelligent clothing realizing real-time monitoring of fatigue Expired - Fee Related CN204671149U (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105342025A (en) * 2015-11-27 2016-02-24 苏州佳世达电通有限公司 Massaging clothes and control method thereof
WO2017125069A1 (en) * 2016-01-23 2017-07-27 深圳六格科技有限公司 Intelligent garment system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105342025A (en) * 2015-11-27 2016-02-24 苏州佳世达电通有限公司 Massaging clothes and control method thereof
WO2017125069A1 (en) * 2016-01-23 2017-07-27 深圳六格科技有限公司 Intelligent garment system

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