CN108109673A - A kind of human body data measurin system and method - Google Patents
A kind of human body data measurin system and method Download PDFInfo
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- CN108109673A CN108109673A CN201810058835.0A CN201810058835A CN108109673A CN 108109673 A CN108109673 A CN 108109673A CN 201810058835 A CN201810058835 A CN 201810058835A CN 108109673 A CN108109673 A CN 108109673A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- BSYNRYMUTXBXSQ-UHFFFAOYSA-N Aspirin Chemical compound CC(=O)OC1=CC=CC=C1C(O)=O BSYNRYMUTXBXSQ-UHFFFAOYSA-N 0.000 title claims abstract description 14
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- 238000013527 convolutional neural network Methods 0.000 claims description 3
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Abstract
A kind of human body data measurin system and method, this method include：Subject person operation control unit sends control signal to interactive unit；The virtual scene information identified to subject person is presented in response to the control signal, and receives the interactive action information of subject person corresponding interactive action to be presented in virtual scene by interactive unit；At least one physiological parameter of subject person is gathered, and it is sent to processing unit in real time；According to the physiological parameter, assess subject person sensory modalities in real time by machine learning, and export result information；Wherein, at least one virtual scene information is taken in human body causes addiction drug related.The present invention is using interactive virtual reality experience, by big data analysis and the algorithm of machine learning so that evaluation result more science is accurate.
Description
Technical field
The present invention relates to a kind of human body data measurin system and correlation technique, it is particularly a kind of based on artificial intelligence,
The crystal methamphetamine of virtual reality and space orientation technique craves for assessment system and correlation technique.
Background technology
It is addicted to drug identification for specification, science identification is addicted to drug personnel, and in accordance with the law the personnel of being addicted to drug are taken with ring
Malicious measure and offer drug addiction treatment, according to《People's Republic of China's prohibition of drug method》, the Ministry of Public Security and Ministry of Public Health's joint are formulated《It takes drugs into
Addiction assert method》, method Minister of Public Security's office meeting on November 19 in 2010 through the Ministry of Public Health by and agreeing to, now giving
Issue was implemented from 1 day April in 2011.The more detailed standard and relevant situation that define addict in this method.
For the habituation degree of clear and definite drug addict, and it is that public security organ distinguishes addict and be that anti-drug institution helps to be addicted to drug
Person formulates rational drug addiction treatment scheme and provides facility, and there is an urgent need for a kind of realization technology maturation, evaluation result are reliable on market today
Drug addiction evaluation and test equipment and auxiliary plan.
Traditional drug addiction evaluation and test can only rely on subjective assessment judgement or questionnaire, lack objective effective means, sentence
Disconnected accuracy and scientific shortage foundation.
Although science confirms that the physiological datas such as drug addict's brain electricity are easily influenced by psychological activity and emotional change, pass through
Analysis can weigh the impression situation of drug addict, but Yi Shang physiological parameter has the characteristics that dimension is more, data volume is big, tradition system
It is difficult to classify to this kind of physiological data to count method, and evaluating method not science, causes evaluation result inaccurate.
The content of the invention
The other aspects, features and/or advantages part of the present invention will be set forth in part in the following description, and a part can
It becomes apparent from coming from the following description or can be learnt from the implementation of the present invention.
The present invention provides a kind of human body data measurin system, which is characterized in that the system includes：Interactive unit is adopted
Collect unit, control unit, contextual data library unit and processing unit, wherein, interactive unit and scene database respectively with control
Unit is connected, and collecting unit is connected with control unit with processing unit respectively；
The contextual data library unit, for storing at least one virtual scene information；
Described control unit, for sending control signal to the interactive unit, the wherein control signal identifies the field
At least one virtual scene information that scape Database Unit is stored；
The interactive unit, for the control signal of reception control unit, by the virtual scene information identified to tested
People is presented, and receives the interactive action information of subject person corresponding interactive action to be presented in virtual scene；
The collecting unit for gathering at least one physiological parameter of the subject person within the set time, and will be gathered
Physiological parameter be sent to processing unit；
The processing unit, for receiving at least one physiological parameter in real time, according at least one physiology
Parameter assesses sensory modalities of the subject person under the virtual scene information by machine learning, and exports result information；
Wherein, at least one virtual scene information is taken in human body causes addiction drug related.
The present invention also provides a kind of human body data measuring methods, which is characterized in that includes the following steps：
1) subject person operation control unit sends control signal to interactive unit, which identifies the contextual data
At least one virtual scene information that library unit is stored；
2) the virtual scene information identified to subject person is presented in response to the control signal, and connect by interactive unit
The interactive action information of subject person is received corresponding interactive action to be presented in virtual scene；
3) at least one physiological parameter of the subject person in the virtual scene in the set time, and the life that will be gathered are gathered
Reason parameter is sent to processing unit in real time；
4) according at least one physiological parameter, subject person is assessed in real time by machine learning in the virtual scene
Sensory modalities under information, and export result information；
Wherein, at least one virtual scene information is taken in human body causes addiction drug related.
The clue scene that the present invention is provided by virtual reality technology more can effectively excite the true medicine of user
Object is craved for, and interactive experience and the clue stimulation that other people consume illegal drugs more can effectively excite the true drug of user thirsty
It asks.Meanwhile artificial intelligence relies on its powerful classification and processing capacity, and substantial amounts of physiological data can be analyzed and handled,
Dependent on big data analysis and the algorithm of machine learning, the present invention is analyzed by objective physiological data collection, is judged real
Physiology craves for situation so that result more science is accurate.
Description of the drawings
With reference to attached drawing, from the following description to embodiment, these and/or other aspects, features and advantages of the invention
Will be apparent with it is easier to understand, wherein：
Fig. 1 is a kind of human body data measurin system schematic diagram provided by the present invention
Fig. 2 is a kind of human body data measuring method flow chart provided by the present invention
Fig. 3 is a kind of human body data measurin system schematic diagram provided by the present invention
Specific embodiment
It is described in detail referring now to exemplary embodiment of the present invention, illustrates the reality in the accompanying drawings
The example of example is applied, wherein identical reference number indicates identical element always.But the present invention can be with many different shapes
Formula embodies, and is not construed as being defined in embodiments set forth herein.On the contrary, it theses embodiments are provided so that
It is thorough and complete to obtain the disclosure, and comprehensively transfers idea of the invention to those skilled in the art.Below with reference to
Attached drawing describes exemplary embodiment, to explain the present invention.
Embodiment 1
As shown in Figure 1, the present invention provides a kind of human body data measurin systems, which is characterized in that the system includes：
Interactive unit, collecting unit, control unit, contextual data library unit and processing unit, wherein, interactive unit and scene database
It is connected respectively with control unit, collecting unit is connected with control unit with processing unit respectively；
The contextual data library unit, for storing at least one virtual scene information；
Described control unit, for sending control signal to the interactive unit, the wherein control signal identifies the field
At least one virtual scene information that scape Database Unit is stored；
The interactive unit, for the control signal of reception control unit, by the virtual scene information identified to tested
People is presented, and receives the interactive action information of subject person corresponding interactive action to be presented in virtual scene；
The collecting unit for gathering at least one physiological parameter of the subject person within the set time, and will be gathered
Physiological parameter be sent to processing unit；
The processing unit, for receiving at least one physiological parameter in real time, according at least one physiology
Parameter assesses sensory modalities of the subject person under the virtual scene information by machine learning, and exports result information；
Wherein, at least one virtual scene information is taken in human body causes addiction drug related.
Embodiment 2
The present invention also provides a kind of human body data measurin system, included by interactive unit further include it is wearable
Virtual reality (VR) equipment, is connected with contextual data library unit, for using medicine phases to subject person presentation simulation cause addiction drug
The scene information of pass, the virtual scene information include image and sound.
The interactive unit further includes handle, for receiving the interactive action information of subject person, and is carried out in virtual scene
It presents in real time.
The collecting unit is used to gather at least one of electroencephalogram parameter, skin electrical parameter or hrv parameter.Specifically,
The one or more of the physiological acquisitions module such as brain electricity, skin pricktest, heart rate in the subject personnel's wearing evaluated and tested firstly the need of drug addiction,
In, the connection of data is debugged before evaluation and test is started, data can be sent to server in real time after guarantee starts evaluation and test.
Embodiment 3
The present invention also provides a kind of human body data measurin system, wherein at least one virtual scene information is at least wrapped
It includes teaching scene information, natural relaxation scene information and causes addiction evaluation and test scene information.
Specifically, the teaching includes at least virtual reality experience scene, teaching-guiding video and voice with scene information.
The natural relaxation scene information includes at least natural land experience scene and relaxation training instructs voice.
During measurement, subject personnel wear the virtual reality display device of carrying space positioning, hand-held that body can be interacted in scene
The handle tested.External control terminal sets the evaluation and test scene for needing to experience, and click starts to evaluate and test.
Subject personnel experience VR teaching scenes first, it can be made first to be familiar with the environment of VR and wear to experience, while professor is such as
What uses handle and the object in scene interactive, carries out psychology construction and operation teaching for the evaluation and test in later stage, reduces and surveyed in experience
During the scape of examination hall because be unfamiliar with VR experience or when not knowing about mode of operation caused by data deviation.
Next subject can enter the relaxing scene set, be furnished with the panorama of natural views in scene and loosen finger
Lead through experience after a while including subject, reaches that mood is steady, starts to evaluate and test after the state that mood is loosened.
Subject personnel are entered in one or several scenes related with sucking crystal methamphetamine, it can be seen that, hear, make
It is touched with handle and uses clue article relevant with drugs and personage, it is allowed to be tested regular time in scene inner body, simultaneously
It records various physiological datas and is sent to processing unit.
Processing unit real-time reception and the physiological data of processing acquisition evaluate and test system by the artificial intelligence of depth machine learning
System analysis data simultaneously provide feedback result after evaluation and test, and control terminal displayed page shows subject personnel in evaluation and test scene
True craving state.
Embodiment 4
The present invention also provides a kind of human body data measurin system, wherein processing unit further comprises：According to warp
The disaggregated model that machine learning determines assesses subject person in the void automatically based on described according at least one physiological parameter
Intend the sensory modalities under scene information.
The disaggregated model that is determined through machine learning is specially：Different subject persons are adopted when experiencing different clue scenes
The physiological parameter of collection carries out characteristic point analysis extraction, and the craving grading of characteristic point and scene is carried out multiple disaggregated model instructions
Practice, finally train the Logic Regression Models for incorporating a variety of learning algorithms, which can be to freshly harvested physiological parameter
Carry out the automatic measure grading of craving degree.
Specifically, drug addict craves for the drug addiction of each scene after different drugs clue experience scenes is experienced and carries out
Pyatyi self-appraisal.The collection of a variety of physiological datas can be carried out to drug addict while scene is experienced, including brain electricity, heart rate, skin
The one or more of skin electricity data.A variety of features based on sliding window (sliding window) are extracted by signature analysis
Point, such as：Average value, standard deviation, quantile, these characteristic point knots and sample craving grading will be used to train multiple classification moulds
Type promotes decision tree including convolutional neural networks, Recognition with Recurrent Neural Network, random forest, support vector machines, gradient.It can finally instruct
Practice a Logic Regression Models to combine a variety of learning algorithms to obtain a better final disaggregated model, the model
It will be used to test and assess to drug addict's progress Pyatyi automatically.
Specifically, the system is mainly using python pandas to the pretreatment of data row and the extraction of physiological data feature.
The training and evaluation and test of model will be carried out mainly using tensorflow and scikit-learn.
By above directly using initial data of the method processing with temporal aspect of deep learning so that this system
Learning algorithm can more directly extract most direct effective related information from initial data, avoid to the greatest extent artificial
The influence of subjective factor.
Embodiment 5
A kind of human body data measuring method, which is characterized in that include the following steps：
1) subject person operation control unit sends control signal to interactive unit, which identifies the contextual data
At least one virtual scene information that library unit is stored；
2) the virtual scene information identified to subject person is presented in response to the control signal, and connect by interactive unit
The interactive action information of subject person is received corresponding interactive action to be presented in virtual scene；
3) at least one physiological parameter of the subject person in the virtual scene in the set time, and the life that will be gathered are gathered
Reason parameter is sent to processing unit in real time；
4) according at least one physiological parameter, subject person is assessed in real time by machine learning in the virtual scene
Sensory modalities under information, and export result information；
Wherein, at least one virtual scene information is taken in human body causes addiction drug related.
Embodiment 6
Specifically, which specifically comprises the following steps：
Firstly the need of one kind of the physiological acquisitions equipment such as brain electricity, skin pricktest, heart rate in subject personnel's wearing of drug addiction evaluation and test
Or it is several, the connection of data is debugged before evaluation and test is started, data can be sent to service in real time after guarantee starts evaluation and test
Device.
Subject personnel wear carrying space positioning virtual reality display device, hold can in scene interactive experience hand
Handle.
External control terminal sets the evaluation and test scene for needing to experience, and click starts to evaluate and test.
Subject personnel experience VR teaching scenes first, it can be made first to be familiar with the environment of VR and wear to experience, while professor is such as
What uses handle and the object in scene interactive, carries out psychology construction and operation teaching for the evaluation and test in later stage, reduces and surveyed in experience
During the scape of examination hall because be unfamiliar with VR experience or when not knowing about mode of operation caused by data deviation.
Next subject can enter the relaxing scene set, be furnished with the panorama of natural views in scene and loosen finger
Lead through experience after a while including subject, reaches that mood is steady, starts to evaluate and test after the state that mood is loosened.
Subject personnel are entered in one or several scenes related with sucking crystal methamphetamine, it can be seen that, hear, make
It is touched with handle and uses clue article relevant with drugs and personage, it is allowed to be tested regular time in scene inner body, simultaneously
It records various physiological datas and is sent to processing unit.
Processing unit real-time reception and the physiological data of processing acquisition evaluate and test system by the artificial intelligence of depth machine learning
System analysis data simultaneously provide feedback result after evaluation and test, and control terminal displayed page shows subject personnel in evaluation and test scene
True craving state.
Embodiment 7
The scene of making includes 3 classes altogether：Teaching scene, natural relaxation scene, drug addiction evaluation and test scene.
Reality environment experience scene is provided in teaching scene and and can be matched somebody with somebody with the article of handle interactive experience
There are teaching-guiding language and instructional video, it, can also be wherein even if intuitively accurately making subject personnel experience VR scenes for the first time
The sensation and effect of the experience of VR scenes are familiar with as soon as possible, and learn the method for handle interaction.Avoid subject personnel for the first time
Scene is evaluated and tested with regard to experience, because on the VR novel senses experienced and being unfamiliar with the problem of external factor such as operation influence evaluation result.
Natural relaxation scene provides the natural land experience scene of high reduction degree, and the relaxation training equipped with specialty refers to
Lead, enable subject personnel in experience utmostly with realize that the steady and mood of mood is loosened in efficiency, and for it
Evaluation and test scene acquisition baseline physiological data afterwards.
Embodiment 8
The drug addiction evaluation and test specific manufacturing process of scene includes：
Step 1：Virtual reality technology used in connection with is collected and quoted to trigger the document and text of drug habit personnel craving
Chapter determines that specific habituation article clue virtual reality scenario experience can effectively arouse the real physiological craving of habituation personnel.
Step 2：Sample investigation crystal methamphetamine sucks personnel, the field that interview collection is taken drugs on them in narcotic house
Scape, article, personage and the information of related experience.
Step 3：Taxonomic revision is carried out according to the information of document claims and interview gained, it is final to confirm the field for needing to make
Scape, article, personage and experience of the process.
Step 4：Being made of UE4 engines has the stereo scene of high reduction degree and article therein, person model, setting
What the visual field direction of experiencer and handle interacted uses rule and article.
Step 5：The scene to complete, experiencer are appeared in the visual angle of the first person in scene, can be in scene
It is freely rotated and moves, because sterically defined relation, scene is not in situation that is mobile and rocking, and Flow experience sense is stronger
It is strong；Both hands possess mutual fixed handle, and handle occurs with the image of both hands in the visual field, can touch, pick up, using different with sucking
The relevant article of drugs, can real simulation consumes illegal drugs in scene entire experience of the process.
Scene is induced compared to the drug addiction that is carried out in a manner of panoramic video, using High Precision Stereo model foundation scene,
The mode of space orientation and handle interaction is integrated with, closer to real experience effect in experience, is avoided because of panoramic video
The problem of the shortcomings that can not moving and touch scene article and generating distortion effect, experience lf being influenced person experiences.
Embodiment 9
The specific production process of disaggregated model determined through machine learning is：
Step 1：For collecting the physiological acquisitions equipment such as brain electricity, skin pricktest, heart rate in the drug abuse of data subject personnel's wearing
One or more, wherein, the connections of data has been debugged before evaluation and test is started, data can be real-time after guarantee starts evaluation and test
It is sent to server.
Step 2；Subject personnel wear carrying space positioning virtual reality display device, hold can in scene interactive experience
Handle.
Step 3：External control terminal sets the evaluation and test scene for needing to experience, and click starts to experience.
Step 4：Subject personnel experience VR teaching scenes first, it is made first to be familiar with the environment of VR and wear to experience, is taught simultaneously
It awards and how to use handle and the object in scene interactive, carry out psychology construction and operation teaching for the evaluation and test in later stage, reduce in body
When testing test scene because be unfamiliar with VR experience or when not knowing about mode of operation caused by data deviation.
Step 5：Next subject can enter the relaxing scene that sets, panorama in scene equipped with natural views and
Relaxation instructing language through experience after a while including subject, reaches that mood is steady, starts to evaluate and test field after the state that mood is loosened
Scape is experienced.
Step 6：Subject personnel are entered in one or several scenes related with sucking crystal methamphetamine, it can be seen that,
It hears, touch using handle and use clue article relevant with drugs and personage, allow it when scene inner body tests fixed
Between, while record various physiological datas and be sent to processing unit.
Step 7：After subject has experienced each scene, it is caused true thirsty when scene inner body is tested that it is collected at the first time
Prestige situation is classified by way of digital quantization and recorded, and binding is mutually marked with physiological data.
Step 8：Test completes the physiological data collected according to real craving situation addition label and marker for determination, uses
The artificial intelligence neural networks for having the function of deep learning carry out data study and judgement.By the study and calculating of multisample,
It establishes the drug addiction based on this virtual reality evaluation and test scene and evaluates and tests artificial intelligence system.
While there has been shown and described that some exemplary embodiments of the invention, those skilled in the art should manage
It, can be to this in the case of solution, the principle of the invention limited in without departing substantially from claim and their equivalent and spirit
A little exemplary embodiments make variation.
Claims (10)
1. a kind of human body data measurin system, which is characterized in that the system includes：Interactive unit, collecting unit, control are single
Member, contextual data library unit and processing unit, wherein, interactive unit and scene database are connected respectively with control unit, adopt
Collection unit is connected with control unit with processing unit respectively；
Contextual data library unit, for storing at least one virtual scene information；
Control unit, for sending control signal to the interactive unit, the wherein control signal identifies the scene database
The virtual scene information that unit is stored；
The virtual scene information identified for the control signal of reception control unit, is in by the interactive unit to subject person
It is existing, and the interactive action information of subject person is received corresponding interactive action to be presented in virtual scene；
The collecting unit, for gathering at least one physiological parameter of the subject person within the set time, and the life that will be gathered
Reason parameter is sent to processing unit；
The processing unit, for receiving at least one physiological parameter in real time, according at least one physiological parameter,
Sensory modalities of the subject person under the virtual scene information are assessed by machine learning, and export result information；
Wherein, at least one virtual scene information is taken in human body causes addiction drug related.
2. human body data measurin system as described in claim 1, which is characterized in that the interactive unit further includes wearable
Virtual reality (VR) equipment, is connected with contextual data library unit, for using medicine phases to subject person presentation simulation cause addiction drug
The scene information of pass, the virtual scene information include image and sound；The interactive unit further includes handle, for receiving subject person
Interactive action information, and presented in real time in virtual scene.
3. human body data measurin system as claimed in claim 2, which is characterized in that
The collecting unit is used to gather at least one of electroencephalogram parameter, skin electrical parameter or hrv parameter；
At least one virtual scene information includes at least teaching with scene information, natural relaxation scene information and addiction is caused to comment
Survey scene information；
The teaching includes at least virtual reality experience scene, teaching-guiding video and voice with scene information；It is described to put naturally
Loose scene information includes at least natural land experience scene and relaxation training instructs voice；
The processing unit further comprises：According to the disaggregated model determined through machine learning, based on described in the basis at least
One physiological parameter assesses sensory modalities of the subject person under the virtual scene information automatically；
The disaggregated model that is determined through machine learning is specially：Different subject persons are gathered when experiencing different clue scenes
Physiological parameter carries out characteristic point analysis extraction, and the craving grading of characteristic point and scene is carried out multiple disaggregated model training, most
The Logic Regression Models for incorporating a variety of learning algorithms are trained eventually, at least one physiological parameter to acquisition
Carry out the automatic measure grading of craving degree；
The characteristic point is the characteristic point based on sliding window (sliding window)；
The multiple disaggregated model includes：Convolutional neural networks, Recognition with Recurrent Neural Network, random forest, support vector machines or gradient
Promote decision tree.
4. a kind of human body data measuring method, which is characterized in that include the following steps：
Step 1 subject person operation control unit sends control signal to interactive unit, which identifies the contextual data
At least one virtual scene information that library unit is stored；
The virtual scene information identified to subject person is presented in response to the control signal, and received by step 2 interactive unit
The interactive action information of subject person in virtual scene being presented corresponding interactive action；
Step 3 gathers at least one physiological parameter of the subject person in the virtual scene in the set time, and the life that will be gathered
Reason parameter is sent to processing unit in real time；
Step 4 assesses subject person by machine learning in the virtual scene in real time according at least one physiological parameter
Sensory modalities under information, and export result information；
Wherein, at least one virtual scene information is taken in human body causes addiction drug related.
5. human body data measuring method as claimed in claim 4, which is characterized in that the virtual scene information can be in
Now simulation causes the relevant scene information of medication of addiction drug, which includes image and sound.
6. human body data measuring method as described in claim 4 or 5, which is characterized in that this method further comprises connecing
The interactive action information of subject person is received, and is presented in real time in virtual scene.
7. human body data measuring method as claimed in claim 6, which is characterized in that gathered at least one life
Managing parameter includes at least one of electroencephalogram parameter, skin electrical parameter or hrv parameter；
At least one virtual scene information includes at least teaching with scene information, natural relaxation scene information and addiction is caused to comment
Survey scene information；
The teaching includes at least virtual reality experience scene, teaching-guiding video and the voice for teaching with scene information；
The teaching scene information is presented to subject person first in the interactive unit, and plays teaching-guiding video and voice；
The natural relaxation scene information includes at least natural land experience scene and relaxation training instructs voice.
8. human body data measuring method as claimed in claim 7, which is characterized in that in the cause addiction evaluation and test scene information
Before presentation, the natural relaxation scene information first is presented to subject person, and plays relaxation training and instructs voice.
9. human body data measuring method as claimed in claim 8, which is characterized in that the step 4 further comprises：Root
According to the disaggregated model determined through machine learning, subject person is assessed in institute according at least one physiological parameter automatically based on described
State the sensory modalities under virtual scene information.
10. human body data measuring method as claimed in claim 9, which is characterized in that described to be determined through machine learning
Disaggregated model is specially：Characteristic point analysis is carried out to the physiological parameter that different subject persons are gathered when experiencing different clue scenes to carry
It takes, and the craving grading of characteristic point and scene is subjected to multiple disaggregated model training, finally train one and incorporate a variety of
The Logic Regression Models of algorithm are practised, the automatic measure grading of craving degree is carried out for freshly harvested physiological parameter；
The characteristic point is the characteristic point based on sliding window (sliding window)；
The multiple disaggregated model includes：Convolutional neural networks, Recognition with Recurrent Neural Network, random forest, support vector machines or gradient
Promote decision tree.
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