CN104042204A - Pressure resisting and pressure reducing capacity detecting method and device based on wearable device - Google Patents

Pressure resisting and pressure reducing capacity detecting method and device based on wearable device Download PDF

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CN104042204A
CN104042204A CN201410284233.9A CN201410284233A CN104042204A CN 104042204 A CN104042204 A CN 104042204A CN 201410284233 A CN201410284233 A CN 201410284233A CN 104042204 A CN104042204 A CN 104042204A
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human body
reduced pressure
wave band
regression function
scr
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CN104042204B (en
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龚浩文
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Shenzhen Hongdian Technologies Corp
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Shenzhen Hongdian Technologies Corp
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Abstract

The invention belongs to the technical field of wearable equipment, and provides a pressure resisting and pressure reducing capacity detecting method and device based on a wearable device. The method comprises the steps that two electrode plates of the wearable device are used for collecting galvanic skin response (GSR) data of the human body, wherein the GSR data comprise skin conductance response (SCR) waveforms; the wave band with the SCR value larger than the preset value is intercepted in the SCR waveforms; the pressure resisting capacity and the pressure reducing capacity of the human body are judged according to the rising edge and the descending edge of the wave band. According to the pressure resisting and pressure reducing capacity detecting method and device, the GSR data of the human body are collected through the two electrode plates of the wearable device, the GSR data comprise SCR waveforms, the wave band with the SCR value larger than the preset value is intercepted, the pressure resisting capacity and the pressure reducing capacity of the human body are judged according to the rising edge and the descending edge of the wave band, and therefore the pressure resisting and pressure reducing capacity detection on a user can be carried out in real time, and the user can release the pressure in time and select the appropriate manner to release the pressure.

Description

A kind of resistance to compression, reduced pressure capabilities detection method and device based on Wearable equipment
Technical field
The invention belongs to Wearable equipment technical field, relate in particular to a kind of resistance to compression, reduced pressure capabilities detection method and device based on Wearable equipment.
Background technology
Anti-pressure ability refers to the ability of processing transactions under ambient pressure.Anti-pressure ability also can be called to resist frustrates power, the resistivity while referring in the face of ambient pressure and setback.Someone anti-pressure ability is strong, and a little less than having people's anti-pressure ability, this and individual psychological diathesis are closely related.For user, the height of anti-pressure ability can affect its life and work.
Decompression refers to user and pressure is alleviated to the mode of leading off, reduces pressure significant for user's physical and mental health.In the time that user faces pressure, need to select correct mode to carry out mediating of pressure, for example, change living habit, creation happy environment, travel and leisure or participate in outdoor activities etc.
Society, people's mental pressure is increasing, and a lot of bad living habit and work habit are increasing much people's mental pressure virtually.In addition, there are a lot of people not select correct mental pressure to mediate mode, cause not anti-reflection increasing of mental pressure.
Existing resistance to compression, reduced pressure capabilities detection technique comprise HRV (Heart Rate Variability, change rate of heartbeat) detection technique and brain wave detection technique.HRV detection technique is carried out the detection of resistance to compression, reduced pressure capabilities by the minor variations of analyzing heart rate.Brain wave detection technique is carried out resistance to compression, the reduced pressure capabilities of analysis user according to brain wave.But above-mentioned two kinds of technology all have the defect of being inconvenient to carry.HRV detection technique can combine with Wearable equipment in theory, can pass through ECG (ElectroCardioGragh, electrocardiogram) or optics pulse measure mental pressure, but, because the checkout equipment power consumption of ECG and optics pulse is excessive, cause HRV detection technique cannot apply in Wearable equipment.And more inconvenient the carrying of equipment corresponding to brain wave detection technique.
In sum, existing mental pressure detection technique can not be carried out the detection of resistance to compression, reduced pressure capabilities in time to user.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of resistance to compression, reduced pressure capabilities detection method based on Wearable equipment, the problem that can not carry out in time the detection of resistance to compression, reduced pressure capabilities to solve existing mental pressure detection technique to user.
The embodiment of the present invention is achieved in that a kind of resistance to compression, reduced pressure capabilities detection method based on Wearable equipment, comprising:
Gather the galvanic skin response GSR data of human body by two cube electrode sheets of described Wearable equipment, described GSR data comprise skin conductivity reaction SCR waveform;
Intercept the wave band that SCR value in described SCR waveform is greater than preset value;
According to the rising edge of described wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of described human body.
Another object of the embodiment of the present invention is to provide a kind of resistance to compression, reduced pressure capabilities checkout gear based on Wearable equipment, comprising:
GSR data acquisition module, for gather the galvanic skin response GSR data of human body by two cube electrode sheets of described Wearable equipment, described GSR data comprise skin conductivity reaction SCR waveform;
Wave band interception module, is greater than the wave band of preset value for intercepting described SCR waveform SCR value;
Resistance to compression, reduced pressure capabilities judge module, for according to the rising edge of described wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of described human body.
The beneficial effect that the embodiment of the present invention compared with prior art exists is: the embodiment of the present invention gathers the GSR data of human body by two cube electrode sheets on Wearable equipment, GSR data comprise SCR waveform, in the time that in SCR waveform, SCR value is greater than preset value, intercept the wave band that this SCR value is greater than preset value, and according to the rising edge of this wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of human body, realize thus in time user has been carried out to resistance to compression, the detection of reduced pressure capabilities, thereby make user can carry out in time mediating of pressure and select applicable mode to mediate pressure.
Brief description of the drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, the realization flow figure of reduced pressure capabilities detection method;
Fig. 2 is the SCR waveform that provides of the embodiment of the present invention and the schematic diagram of SCL waveform;
Fig. 3 is the schematic diagram of step S102 in the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, reduced pressure capabilities detection method;
Fig. 4 judges the anti-pressure ability of human body and the schematic diagram of reduced pressure capabilities according to total time span of the rising edge of intercepted wave band and trailing edge in step S103 in the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, reduced pressure capabilities detection method;
Fig. 5 is the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, the specific implementation flow chart of reduced pressure capabilities detection method step S103;
Fig. 6 is the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, the schematic diagram of reduced pressure capabilities detection method step S501;
Fig. 7 is the resistance to compression based on Wearable equipment that provides of another embodiment of the present invention, the specific implementation flow chart of reduced pressure capabilities detection method step S103;
Fig. 8 is the schematic diagram that in the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, reduced pressure capabilities detection method step S702, the first regression function is concave function;
Fig. 9 is the schematic diagram that in the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, reduced pressure capabilities detection method step S703, the first regression function is convex function;
Figure 10 is the resistance to compression based on Wearable equipment that provides of another embodiment of the present invention, the specific implementation flow chart of reduced pressure capabilities detection method step S103;
Figure 11 is the schematic diagram that in the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, reduced pressure capabilities detection method step S1002, the second regression function is concave function;
Figure 12 is the schematic diagram that in the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, reduced pressure capabilities detection method step S1003, the second regression function is convex function;
Figure 13 is the resistance to compression based on Wearable equipment that provides of the embodiment of the present invention, the structured flowchart of reduced pressure capabilities checkout gear.
Detailed description of the invention
In order to make object of the present invention, technical scheme and advantage clearer, 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, is not intended to limit the present invention.
The embodiment of the present invention gathers the GSR data of human body by two cube electrode sheets on Wearable equipment, GSR data comprise SCR waveform, in the time that in SCR waveform, SCR value is greater than preset value, intercept the wave band that this SCR value is greater than preset value, and according to the rising edge of this wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of human body, realize thus and in time user has been carried out the detection of resistance to compression, reduced pressure capabilities, thereby made user can carry out in time mediating of pressure and select applicable mode to mediate pressure.
Wearable equipment also can be described as wearable intelligent equipment, is that application wearable technology carries out intelligentized design, develops the general name of the equipment that can dress, as eyes, wrist-watch, dress ornament and footwear etc. daily wearing.Wearable equipment in the embodiment of the present invention can be the Wearable equipment of wrist.
Fig. 1 shows the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, the realization flow figure of reduced pressure capabilities detection method, and details are as follows:
In step S101, gather the galvanic skin response GSR data of human body by two cube electrode sheets of described Wearable equipment, described GSR data comprise skin conductivity reaction SCR waveform.
Further, described GSR data also comprise the horizontal SCL waveform of skin conductivity.
When user experience mental pressure large, when perceiving deterrent or receiving environmental stimuli, human nerve is tight, the autonomic nervous system of human body can regulate human body, the stress ability of human body correspondingly improves, this correspondingly changes sympathetic nerve and parasympathetic nervous neural generation of antagonism, orthosympathetic movable enhancing, parasympathetic hypopraxia.Sweat is by sympathetic nerve control, and in the time of sympathetic nerve fever, sweat gland is movable to be strengthened, thereby increases skin conductivity.Therefore, skin conductivity can characterize the suffered psychology of human body or physiological stimulation.
GSR (Galvanic Skin Response, galvanic skin response) data are physical signs of reaction emotion changes, and many psychological phenomenons are all relevant to GSR data, and emotional response can cause the variation of GSR data.GSR data comprise SCR (Skin Conductance Reaction, skin conductivity reaction) waveform and SCL (Skin Conductance Level, skin conductivity level) waveform.Fig. 2 shows SCR waveform that the embodiment of the present invention provides and the schematic diagram of SCL waveform.With reference to Fig. 2, SCR waveform represents real-time skin conductivity, and SCL waveform represents an average conductance in the longer time period.Here, the longer time period can be 24 hours, 1 week or 1 month etc., in this no limit.
In embodiments of the present invention, two cube electrode sheets of Wearable equipment are attached to human body wrist position and carry out the collection of GSR data.
In step S102, intercept the wave band that SCR value in described SCR waveform is greater than preset value.
Preferably, intercepting described in step S102 in described SCR waveform before SCR value is greater than the wave band of preset value, described method also comprises:
Determine described preset value according to described SCL waveform.
As one embodiment of the present of invention, preset value can be set to be a bit larger tham the value of current SCL value, and for example, preset value is 1.2 times of current SCL value.If current SCR value is greater than preset value, judge that current human body receives psychology or physiological stimulation, now, in intercepting SCR waveform, SCR value is greater than the waveform of preset value.Fig. 3 shows the schematic diagram of step S102 in the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, reduced pressure capabilities detection method.With reference to Fig. 3, intercept the waveform that SCR value in SCR waveform is greater than preset value and refer to, if current SCR value is greater than preset value, the time point that is greater than SCL value from SCR value starts, until SCR value equals the time point place of SCL value, intercepting wave band.
It should be noted that, the setting of above-mentioned preset value, just in order to illustrate, is not limited to the present embodiment.The time started point that above-mentioned wave band intercepts also can be adjusted according to practical situation with the selection of end time point, in this no limit.
In step S103, according to the rising edge of described wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of described human body.
The rising edge of the wave band intercepting represents orthosympathetic movable enhancing, correspondingly, and parasympathetic hypopraxia; Orthosympathetic movable enhancing of trailing edge vice of the wave band intercepting, correspondingly, orthosympathetic hypopraxia.
As one embodiment of the present of invention, judge anti-pressure ability and the reduced pressure capabilities of human body according to total time span of the rising edge of intercepted wave band and trailing edge.Fig. 4 shows in the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, reduced pressure capabilities detection method step S103 and judges the anti-pressure ability of human body and the schematic diagram of reduced pressure capabilities according to total time span of the rising edge of intercepted wave band and trailing edge.With reference to Fig. 4, total time span of the rising edge of the first wave band and trailing edge is t1, and total time span of the rising edge of the second wave band and trailing edge is t2.When human feeling is large to mental pressure, when perceiving deterrent or receiving environmental stimuli, the autonomic nervous system (comprising sympathetic nerve and parasympathetic nervous) of human body can regulate human body, be reacted to via vagus nerve in the variation of human body fluid, thereby produce the wave band of high SCR value, as the first wave band in Fig. 4 and the second wave band.The rising edge of high SCR value wave band and total time span of trailing edge have reacted the action time of autonomic nervous system.The action time of autonomic nervous system is longer, and the corresponding rising edge of high SCR value wave band and total time span of trailing edge are longer, and anti-pressure ability and reduced pressure capabilities are poorer.
In embodiments of the present invention, describe anti-pressure ability with resistance to compression index, resistance to compression index is higher, and anti-pressure ability is stronger; Resistance to compression index is lower, and anti-pressure ability is poorer.Describe reduced pressure capabilities with decompression index, decompression index is higher, and reduced pressure capabilities is stronger; Decompression index is lower, and reduced pressure capabilities is poorer.
With reference to Fig. 4, t1 is less than t2, higher with respect to the resistance to compression exponential sum decompression index of t2 time period human body at the resistance to compression exponential sum decompression index of t1 time period human body.That is to say, in the t1 time period, anti-pressure ability and the reduced pressure capabilities of human body are stronger; In the t2 time period, anti-pressure ability and the reduced pressure capabilities of human body are poorer, and human body need to take long to and just can restore calm.
Monitor for a long time the GSR data of human body by the Wearable equipment of low-power consumption, can analyze several days mental pressure situations even for more time.When judging after the current resistance to compression index of human body, contribute to user to adjust in time the physical and mental statuse of oneself; When judging after the current decompression index of human body, contribute to user to select a kind of easypro pressure mode that is applicable to oneself to carry out the alleviation of pressure.
As one embodiment of the present of invention, periodically upload gathered GSR data to server, so that SCR value and the SCL value of server statistics human body.
Fig. 5 shows the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, the specific implementation flow chart of reduced pressure capabilities detection method step S103, with reference to Fig. 5:
In step S501, obtain the very first time span of rising edge and second time span of described trailing edge of described wave band.
Fig. 6 shows the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, the schematic diagram of reduced pressure capabilities detection method step S501.In Fig. 6, the time span of the rising edge of the high SCR value of left wave band is t3, and the time span of trailing edge is t4; The time span of the rising edge of right-hand high SCR value wave band is t5, and the time span of trailing edge is t6.
In step S502, calculate the first ratio of described very first time span and described the second time span, the anti-pressure ability of described human body and described the first ratio negative correlation.
With reference to Fig. 6, when stimulating after generation, the high SCR value of SCR waveform generation wave band, at the rising edge of high SCR value wave band, sympathetic nerve plays a major role, and sympathetic nerve control vagus nerve carries out the adjustment of body fluid, the Bearing performance of adjusting is that SCR value rises, and is embodied in the rising edge of high SCR value wave band.If the time span of the relative trailing edge of time span of rising edge is longer, show that the resistance to compression index of human body is lower, anti-pressure ability is poor.In Fig. 6, t3/t4 is less than t5/t6, and the former the resistance to compression index of correspondence is higher, and anti-pressure ability is stronger.
In step S503, calculate the second ratio of described the second time span and described very first time span, the reduced pressure capabilities of described human body and described the second ratio negative correlation.
With reference to Fig. 6, at the trailing edge of high SCR value wave band, parasympathetic nervous plays a major role.If the time span of the relative rising edge of time span of trailing edge is longer, show that the decompression index of human body is lower, reduced pressure capabilities is poor.In Fig. 6, t4/t3 is greater than t6/t5, and the former the decompression index of correspondence is lower, and reduced pressure capabilities is poor.
Fig. 7 shows the resistance to compression based on Wearable equipment that another embodiment of the present invention provides, the specific implementation flow chart of reduced pressure capabilities detection method step S103, with reference to Fig. 7:
In step S701, analyze the SCR value of rising edge of described wave band and the relation of time, obtain the first regression function.
As one embodiment of the present of invention, the SCR value to high SCR value wave band and the relation of time are analyzed, and obtain the first regression function of the SCR value and the relation of time that characterize rising edge.The concaveconvex shape of rising edge can reflect the intensity of sympathetic activation.If the first regression function is concave function, show that people knows from experience the most nervous state that reaches very soon, resistance to compression index is lower, and anti-pressure ability is poor; If the first regression function is convex function, show that resistance to compression index is higher, anti-pressure ability is stronger.
In step S702, if described the first regression function is concave function, the recessed degree negative correlation of the anti-pressure ability of described human body and described the first regression function.
Fig. 8 shows the schematic diagram that in the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, reduced pressure capabilities detection method step S702, the first regression function is concave function.
If the first regression function is concave function, the recessed degree of the first regression function is larger, and resistance to compression index is lower, and anti-pressure ability is poorer; The recessed degree of the first regression function is less, and resistance to compression index is higher, and anti-pressure ability is stronger.
In step S703, if described the first regression function is convex function, the protruding degree positive correlation of the anti-pressure ability of described human body and described the first regression function.
Fig. 9 shows the schematic diagram that in the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, reduced pressure capabilities detection method step S703, the first regression function is convex function.
If the first regression function is convex function, the protruding degree of the first regression function is larger, and resistance to compression index is higher, and anti-pressure ability is stronger; The protruding degree of the first regression function is less, and resistance to compression index is lower, and anti-pressure ability is poorer.
Figure 10 shows the resistance to compression based on Wearable equipment that another embodiment of the present invention provides, the specific implementation flow chart of reduced pressure capabilities detection method step S103, with reference to Figure 10:
In step S1001, analyze the SCR value of trailing edge of described wave band and the relation of time, obtain the second regression function.
As one embodiment of the present of invention, the SCR value to high SCR value wave band and the relation of time are analyzed, and obtain the second regression function of the SCR value and the relation of time that characterize trailing edge.The concaveconvex shape of trailing edge can reflect parasympathetic work efficiency.If the second regression function is convex function, show the time that human body is grown to the process need of tranquil state from the most nervous recovering state, illustrate parasympathetic nervous relieving stress use relatively a little less than, decompression index lower, reduced pressure capabilities a little less than; If the second regression function is concave function, the index that shows to reduce pressure is higher, and reduced pressure capabilities is stronger.
In step S1002, if described the second regression function is concave function, the recessed degree positive correlation of the reduced pressure capabilities of described human body and described the second regression function.
Figure 11 shows the schematic diagram that in the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, reduced pressure capabilities detection method step S1002, the second regression function is concave function.
If the second regression function is concave function, the recessed degree of the second regression function is larger, and decompression index is larger, and reduced pressure capabilities is stronger; The recessed degree of the second regression function is less, and decompression index is less, and reduced pressure capabilities is more weak.
In step S1003, if described the second regression function is convex function, the protruding degree negative correlation of the reduced pressure capabilities of described human body and described the second regression function.
Figure 12 shows the schematic diagram that in the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, reduced pressure capabilities detection method step S1003, the second regression function is convex function.
If the second regression function is convex function, the protruding degree of the second regression function is larger, and decompression index is lower, and reduced pressure capabilities is more weak; The protruding degree of the second regression function is less, and decompression index is higher, and reduced pressure capabilities is stronger.
The embodiment of the present invention gathers the GSR data of human body by two cube electrode sheets on Wearable equipment, GSR data comprise SCR waveform, in the time that in SCR waveform, SCR value is greater than preset value, intercept the wave band that this SCR value is greater than preset value, and according to the rising edge of this wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of human body, realize thus and in time user has been carried out the detection of resistance to compression, reduced pressure capabilities, thereby made user can carry out in time mediating of pressure and select applicable mode to mediate pressure.
Figure 13 shows the resistance to compression based on Wearable equipment that the embodiment of the present invention provides, the structured flowchart of reduced pressure capabilities checkout gear, and this device can be for the resistance to compression based on Wearable equipment, the reduced pressure capabilities checkout gear described in service chart 1 to Figure 12.For convenience of explanation, only show the part relevant to the present embodiment.
With reference to Figure 13, this device comprises:
GSR data acquisition module 131, gathers the galvanic skin response GSR data of human bodies by two cube electrode sheets of described Wearable equipment, and described GSR data comprise skin conductivity reaction SCR waveform.
Wave band interception module 132, intercepts the wave band that SCR value in described SCR waveform is greater than preset value.
Resistance to compression, reduced pressure capabilities judge module 133, according to the rising edge of described wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of described human body.
Preferably, described resistance to compression, reduced pressure capabilities judge module 133 comprise:
Time span obtains submodule, obtains the very first time span of rising edge and second time span of described trailing edge of described wave band;
Anti-pressure ability judges submodule, calculates the first ratio of described very first time span and described the second time span, the anti-pressure ability of described human body and described the first ratio negative correlation;
Reduced pressure capabilities judges submodule, for calculating the second ratio of described the second time span and described very first time span, and the reduced pressure capabilities of described human body and described the second ratio negative correlation.
Preferably, described resistance to compression, reduced pressure capabilities judge module 133 comprise:
The first regression function obtains submodule, analyzes the SCR value of rising edge of described wave band and the relation of time, obtains the first regression function;
The first concave function decision sub-module, if described the first regression function is concave function, the recessed degree negative correlation of the anti-pressure ability of described human body and described the first regression function;
The first convex function decision sub-module, if described the first regression function is convex function, the protruding degree positive correlation of the anti-pressure ability of described human body and described the first regression function.
Preferably, described resistance to compression, reduced pressure capabilities judge module 133 comprise:
The second regression function obtains submodule, analyzes the SCR value of trailing edge of described wave band and the relation of time, obtains the second regression function;
The second concave function decision sub-module, if described the second regression function is concave function, the recessed degree positive correlation of the reduced pressure capabilities of described human body and described the second regression function;
The second convex function decision sub-module, if described the second regression function is convex function, the protruding degree negative correlation of the reduced pressure capabilities of described human body and described the second regression function.
Further, described GSR data also comprise the horizontal SCL waveform of skin conductivity;
Described device also comprises:
Preset value determination module, determines described preset value according to described SCL waveform.
The embodiment of the present invention gathers the GSR data of human body by two cube electrode sheets on Wearable equipment, GSR data comprise SCR waveform, in the time that in SCR waveform, SCR value is greater than preset value, intercept the wave band that this SCR value is greater than preset value, and according to the rising edge of this wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of human body, realize thus and in time user has been carried out the detection of resistance to compression, reduced pressure capabilities, thereby made user can carry out in time mediating of pressure and select applicable mode to mediate pressure.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.

Claims (10)

1. the resistance to compression based on Wearable equipment, a reduced pressure capabilities detection method, is characterized in that, comprising:
Gather the galvanic skin response GSR data of human body by two cube electrode sheets of described Wearable equipment, described GSR data comprise skin conductivity reaction SCR waveform;
Intercept the wave band that SCR value in described SCR waveform is greater than preset value;
According to the rising edge of described wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of described human body.
2. the method for claim 1, is characterized in that, described according to the rising edge of described wave band and trailing edge, judges that the anti-pressure ability of described human body and reduced pressure capabilities comprise:
Obtain the very first time span of rising edge and second time span of described trailing edge of described wave band;
Calculate the first ratio of described very first time span and described the second time span, the anti-pressure ability of described human body and described the first ratio negative correlation;
Calculate the second ratio of described the second time span and described very first time span, the reduced pressure capabilities of described human body and described the second ratio negative correlation.
3. the method for claim 1, is characterized in that, described according to the rising edge of described wave band and trailing edge, judges that the anti-pressure ability of described human body and reduced pressure capabilities comprise:
Analyze the SCR value of rising edge of described wave band and the relation of time, obtain the first regression function;
If described the first regression function is concave function, the recessed degree negative correlation of the anti-pressure ability of described human body and described the first regression function;
If described the first regression function is convex function, the protruding degree positive correlation of the anti-pressure ability of described human body and described the first regression function.
4. the method for claim 1, is characterized in that, described according to the rising edge of described wave band and trailing edge, judges that the anti-pressure ability of described human body and reduced pressure capabilities comprise:
Analyze the SCR value of trailing edge of described wave band and the relation of time, obtain the second regression function;
If described the second regression function is concave function, the recessed degree positive correlation of the reduced pressure capabilities of described human body and described the second regression function;
If described the second regression function is convex function, the protruding degree negative correlation of the reduced pressure capabilities of described human body and described the second regression function.
5. the method as described in claim 1 to 4 any one, is characterized in that, described GSR data also comprise the horizontal SCL waveform of skin conductivity;
Before in the described SCR waveform of described intercepting, SCR value is greater than the wave band of preset value, described method also comprises:
Determine described preset value according to described SCL waveform.
6. the resistance to compression based on Wearable equipment, a reduced pressure capabilities checkout gear, is characterized in that, comprising:
GSR data acquisition module, for gather the galvanic skin response GSR data of human body by two cube electrode sheets of described Wearable equipment, described GSR data comprise skin conductivity reaction SCR waveform;
Wave band interception module, is greater than the wave band of preset value for intercepting described SCR waveform SCR value;
Resistance to compression, reduced pressure capabilities judge module, for according to the rising edge of described wave band and trailing edge, judge anti-pressure ability and the reduced pressure capabilities of described human body.
7. device as claimed in claim 6, is characterized in that, described resistance to compression, reduced pressure capabilities judge module comprise:
Time span obtains submodule, for obtaining the very first time span of rising edge and second time span of described trailing edge of described wave band;
Anti-pressure ability judges submodule, for calculating the first ratio of described very first time span and described the second time span, and the anti-pressure ability of described human body and described the first ratio negative correlation;
Reduced pressure capabilities judges submodule, for calculating the second ratio of described the second time span and described very first time span, and the reduced pressure capabilities of described human body and described the second ratio negative correlation.
8. device as claimed in claim 6, is characterized in that, described resistance to compression, reduced pressure capabilities judge module comprise:
The first regression function obtains submodule, for analyzing the SCR value of rising edge of described wave band and the relation of time, obtains the first regression function;
The first concave function decision sub-module, if be concave function for described the first regression function, the recessed degree negative correlation of the anti-pressure ability of described human body and described the first regression function;
The first convex function decision sub-module, if be convex function for described the first regression function, the protruding degree positive correlation of the anti-pressure ability of described human body and described the first regression function.
9. device as claimed in claim 6, is characterized in that, described resistance to compression, reduced pressure capabilities judge module comprise:
The second regression function obtains submodule, for analyzing the SCR value of trailing edge of described wave band and the relation of time, obtains the second regression function;
The second concave function decision sub-module, if be concave function for described the second regression function, the recessed degree positive correlation of the reduced pressure capabilities of described human body and described the second regression function;
The second convex function decision sub-module, if be convex function for described the second regression function, the protruding degree negative correlation of the reduced pressure capabilities of described human body and described the second regression function.
10. the device as described in claim 6 to 9 any one, is characterized in that, described GSR data also comprise the horizontal SCL waveform of skin conductivity;
Described device also comprises:
Preset value determination module, for determining described preset value according to described SCL waveform.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106063709A (en) * 2016-05-24 2016-11-02 京东方科技集团股份有限公司 A kind of fatigue detection method and device
CN106073806A (en) * 2016-06-01 2016-11-09 深圳市宏电技术股份有限公司 A kind of fatigue detection method for Wearable, device and Wearable
CN107292244A (en) * 2017-06-01 2017-10-24 深圳欧德蒙科技有限公司 A kind of stress recognition methods, smart machine and computer-readable recording medium
CN108670244A (en) * 2018-05-29 2018-10-19 浙江大学 A kind of wearable physiology of flexible combination formula and psychological condition monitoring device
CN109310360A (en) * 2016-05-25 2019-02-05 皇家飞利浦有限公司 The measurement of skin conductivity

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE20022905U1 (en) * 2000-11-10 2002-06-20 Hecht Karl Miniature arrangement for integration into consumer articles and devices in contact with the skin
CN101495026A (en) * 2005-09-14 2009-07-29 齐托公司 Methods and devices for analyzing and comparing physiological parameter measurements
US20100268056A1 (en) * 2009-04-16 2010-10-21 Massachusetts Institute Of Technology Washable wearable biosensor
CN102065759A (en) * 2008-02-22 2011-05-18 皇家飞利浦电子股份有限公司 A system and kit for stress and relaxation management
US20120289790A1 (en) * 2011-05-13 2012-11-15 Fujitsu Limited Continuous Monitoring of Stress Using Self-Reported Psychological or Behavioral Data
CN102934998A (en) * 2012-11-29 2013-02-20 深圳市健康鼠科技有限公司 Pressure evaluating system, relieving pressure control system and exercise pressure reduction control method
CN103211603A (en) * 2013-03-19 2013-07-24 江苏智诠传媒科技有限公司 Mental stress detecting, tracking and feedback system
US20130317318A1 (en) * 2012-05-25 2013-11-28 Qualcomm Incorporated Methods and devices for acquiring electrodermal activity
CN103596493A (en) * 2011-04-14 2014-02-19 皇家飞利浦有限公司 Stress-measuring device and method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE20022905U1 (en) * 2000-11-10 2002-06-20 Hecht Karl Miniature arrangement for integration into consumer articles and devices in contact with the skin
CN101495026A (en) * 2005-09-14 2009-07-29 齐托公司 Methods and devices for analyzing and comparing physiological parameter measurements
CN102065759A (en) * 2008-02-22 2011-05-18 皇家飞利浦电子股份有限公司 A system and kit for stress and relaxation management
US20100268056A1 (en) * 2009-04-16 2010-10-21 Massachusetts Institute Of Technology Washable wearable biosensor
CN103596493A (en) * 2011-04-14 2014-02-19 皇家飞利浦有限公司 Stress-measuring device and method
US20120289790A1 (en) * 2011-05-13 2012-11-15 Fujitsu Limited Continuous Monitoring of Stress Using Self-Reported Psychological or Behavioral Data
US20130317318A1 (en) * 2012-05-25 2013-11-28 Qualcomm Incorporated Methods and devices for acquiring electrodermal activity
CN102934998A (en) * 2012-11-29 2013-02-20 深圳市健康鼠科技有限公司 Pressure evaluating system, relieving pressure control system and exercise pressure reduction control method
CN103211603A (en) * 2013-03-19 2013-07-24 江苏智诠传媒科技有限公司 Mental stress detecting, tracking and feedback system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
吴学奎等: "面向智能服装的多生理信息融合的情绪判别", 《计算机工程与应用》 *
王援朝,高姝贤: "皮电及其应用", 《中国康复》 *
钟添萍等: "心理评估训练系统功能的设计", 《中国医学装备》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106063709A (en) * 2016-05-24 2016-11-02 京东方科技集团股份有限公司 A kind of fatigue detection method and device
CN109310360A (en) * 2016-05-25 2019-02-05 皇家飞利浦有限公司 The measurement of skin conductivity
CN109310360B (en) * 2016-05-25 2023-02-28 皇家飞利浦有限公司 Measurement of skin conductance
CN106073806A (en) * 2016-06-01 2016-11-09 深圳市宏电技术股份有限公司 A kind of fatigue detection method for Wearable, device and Wearable
CN106073806B (en) * 2016-06-01 2019-01-01 深圳市宏电技术股份有限公司 A kind of fatigue detection method, device and wearable device for wearable device
CN107292244A (en) * 2017-06-01 2017-10-24 深圳欧德蒙科技有限公司 A kind of stress recognition methods, smart machine and computer-readable recording medium
CN108670244A (en) * 2018-05-29 2018-10-19 浙江大学 A kind of wearable physiology of flexible combination formula and psychological condition monitoring device

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