CN113761160A - Evaluation method and application of sensory analysis - Google Patents
Evaluation method and application of sensory analysis Download PDFInfo
- Publication number
- CN113761160A CN113761160A CN202110899773.8A CN202110899773A CN113761160A CN 113761160 A CN113761160 A CN 113761160A CN 202110899773 A CN202110899773 A CN 202110899773A CN 113761160 A CN113761160 A CN 113761160A
- Authority
- CN
- China
- Prior art keywords
- sensory
- user
- analysis
- evaluation method
- researched
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000001953 sensory effect Effects 0.000 title claims abstract description 86
- 238000011156 evaluation Methods 0.000 title claims abstract description 47
- 238000004458 analytical method Methods 0.000 title claims abstract description 45
- 238000005516 engineering process Methods 0.000 claims abstract description 26
- 230000008449 language Effects 0.000 claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 16
- 230000008921 facial expression Effects 0.000 claims abstract description 12
- 208000010877 cognitive disease Diseases 0.000 claims abstract description 11
- 230000004927 fusion Effects 0.000 claims abstract description 11
- 238000011161 development Methods 0.000 claims abstract description 9
- 238000011160 research Methods 0.000 claims abstract description 8
- 230000006399 behavior Effects 0.000 claims abstract description 6
- 238000012216 screening Methods 0.000 claims abstract description 6
- 230000008569 process Effects 0.000 claims abstract description 5
- 208000028698 Cognitive impairment Diseases 0.000 claims abstract 3
- 238000012549 training Methods 0.000 claims description 20
- 230000001149 cognitive effect Effects 0.000 claims description 19
- 238000007418 data mining Methods 0.000 claims description 9
- 239000000126 substance Substances 0.000 claims description 9
- 230000003111 delayed effect Effects 0.000 claims description 7
- 238000007705 chemical test Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 5
- 230000006996 mental state Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 230000035945 sensitivity Effects 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 5
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 238000007621 cluster analysis Methods 0.000 claims description 3
- 238000000513 principal component analysis Methods 0.000 claims description 3
- 238000012706 support-vector machine Methods 0.000 claims description 3
- 230000002596 correlated effect Effects 0.000 claims 1
- 230000018109 developmental process Effects 0.000 description 7
- 238000002560 therapeutic procedure Methods 0.000 description 6
- 206010012559 Developmental delay Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 3
- 238000011281 clinical therapy Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 208000012239 Developmental disease Diseases 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008133 cognitive development Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 208000035475 disorder Diseases 0.000 description 1
- 230000001771 impaired effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003863 physical function Effects 0.000 description 1
- 238000000554 physical therapy Methods 0.000 description 1
- 208000020016 psychiatric disease Diseases 0.000 description 1
- 230000021317 sensory perception Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- 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
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
- G06F2216/03—Data mining
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Databases & Information Systems (AREA)
- Bioinformatics & Computational Biology (AREA)
- Public Health (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Mathematical Physics (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Human Computer Interaction (AREA)
- Animal Behavior & Ethology (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
本发明公开了一种应用感官分析的评价方法及应用，所述评价方法包括：S1：解析研究对象特有的感官特性，获取该用户感官面部表情数据和语言数据；S2：利用现代仪器分析技术手段结合数据计量学，对研究的用户对象进行数字化信息的存贮与处理；S3：利用智能感官分析技术，获取感官图像和图谱空间；S4：利用平板设备，对用户进行评估；S5：利用信息融合技术以评价研究的用户对象的感官质量，本发明带有解析研究对象特有的感官特性，获取该用户感官面部表情数据和语言数据，以此来进行用户的初步评价，并利用数据挖掘技术，以最终评价研究的用户对象的感官质量，所述评价方法可以在评价儿童语言行为发展和认知障碍筛查中进行应用。
The invention discloses an evaluation method and application by applying sensory analysis. The evaluation method includes: S1: analyzing the unique sensory characteristics of a research object, and obtaining sensory facial expression data and language data of the user; S2: using modern instrument analysis technology means Combine data metrology to store and process digital information of the researched user objects; S3: Use intelligent sensory analysis technology to obtain sensory images and atlas space; S4: Use tablet devices to evaluate users; S5: Use information fusion The technology is used to evaluate the sensory quality of the researched user object. The present invention analyzes the unique sensory characteristics of the researched object, obtains the sensory facial expression data and language data of the user, and conducts the preliminary evaluation of the user. The sensory quality of the user subjects of the study was finally evaluated, and the evaluation method can be applied in evaluating the development of children's language and behavior and screening for cognitive impairment.
Description
Technical Field
The invention relates to the technical field of sensory analysis, in particular to an evaluation method and application of sensory analysis.
Background
The children rehabilitation therapy aims at children with impaired physical functions, delayed development and psychological disorders, and the development of the children in the aspects of sensory perception, cognitive development, language and spoken language, limb actions, social adaptation, self-care ability and the like is improved by means of assessment, rehabilitation therapy (physical therapy, operation therapy, language therapy, psychological therapy and the like) and education and the like, so that the children can overcome the development delay phenomenon as early as possible, the delay speed is slowed down or the delayed children ability is improved, more serious disorders are generated after the children are treated, and the living burden of parents and caregivers and the dependence on social welfare are reduced.
At present, the domestic mechanical rehabilitation centers for children are all provided with relevant rehabilitation departments or departments. The special construction is neglected due to the reasons of slight rehabilitation consciousness, poor rehabilitation management and the like of the existing doctors, meanwhile, the modern rehabilitation is also distorted by people, and actually, patients who can recover hundreds of percent after diseases do not have the problem of rehabilitation, and the patients only have the need of rehabilitation if the patients can not recover hundreds of percent after diseases and leave disabled children of different degrees. Therefore, at present, rehabilitation therapy is only regarded as continuation of general clinical therapy, rehabilitation work is similar to the general clinical therapy, rehabilitation characteristic diagnosis and treatment such as exercise, operation, speech and the like are not developed according to actual conditions, so that medical resources cannot be reasonably utilized, a plurality of rehabilitation measures cannot intervene as early as possible, and more disabilities or disability degrees are generated at home, and therefore an evaluation method and application applying sensory analysis are provided.
Disclosure of Invention
The present invention is directed to provide an evaluation method and application using sensory analysis to solve the problems set forth in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: an evaluation method using sensory analysis, comprising the steps of:
s1: analyzing the unique sensory characteristics of the research object, and acquiring sensory facial expression data and language data of the user;
preferably, the analysis of the unique sensory characteristics of the study object specifically comprises eight cognitive fields of visual space and executive function, naming, memory, attention, language, abstraction, delayed recall and directional power, has high sensitivity and specificity for recognizing cognitive disorder, and can also be used for cognitive assessment of rehabilitation training patients.
S2: the method comprises the steps of utilizing a modern instrument analysis technical means to combine data metrology to store and process digitalized information of a researched user object, and obtaining a physical and chemical parameter space with strong correlation with user sensory characteristics;
preferably, the modern instrumental analysis techniques include intelligent sensory analysis techniques using machine vision, tactile sensors and speech techniques.
S3: acquiring an intelligent sensory image and a map space of a researched user object by using an intelligent sensory analysis technology;
preferably, the storing and processing of the digital information of the researched user object comprises storing and processing the digital information of the expression, answer and touch operation of the researched user object.
S4: utilizing the tablet device to perform simple cognitive assessment, simple mental state question answering and daily life capacity question answering on the user;
preferably, the acquiring of the smart sensory image and the atlas space of the user object of the research comprises acquiring the smart sensory image and the atlas space of vision, smell, taste and touch of the user object of the research.
S5: and information fusion is carried out on sensory facial expression data and language data of the user, a physical and chemical parameter space, an intelligent sensory image and a map space by using an information fusion technology, and the relationship among a sensory evaluation index of the user, a physical and chemical test index and an intelligent sensory analysis index is obtained from basic data of a researched object by using a data mining technology so as to evaluate the sensory quality of the researched user object.
Preferably, the data mining technology comprises a cloud network, a support vector machine, a popular algorithm, cluster analysis, principal component analysis, fuzzy comprehensive judgment and discriminant analysis.
The invention also relates to application of the evaluation method in evaluation of language behavior development and cognitive disorder screening of children.
Compared with the prior art, the invention has the beneficial effects that: the method has the advantages that the specific sensory characteristics of a research object are analyzed, the sensory facial expression data and language data of a user are obtained, the digital information is stored and processed on the researched user object by utilizing the modern instrument analysis technical means in combination with data metrology, the physical and chemical parameter space with strong correlation with the sensory characteristics of the user is obtained, the initial evaluation of the user is carried out, and the intelligent sensory image and the atlas space of the researched user object are obtained by utilizing the intelligent sensory analysis technology; utilizing the tablet device to perform simple cognitive assessment, simple mental state question answering and daily life capacity question answering on the user; therefore, the interaction between the user and the equipment is carried out, the system is graded for primary evaluation, the information fusion technology is utilized to carry out information fusion on sensory facial expression data and language data of the user, physical and chemical parameter space and intelligent sensory image and atlas space of the user, the data mining technology is utilized to obtain the relationship between sensory evaluation indexes, physical and chemical test indexes and intelligent sensory analysis indexes of the user from basic data of a researched object so as to finally evaluate the sensory quality of the researched user object, the specific sensory characteristics of the researched object are analyzed, the cognitive evaluation method specifically comprises eight cognitive fields of visual space, execution function, naming, memory, attention, language, abstraction, delayed recall and directional force, the sensitivity and the specificity for recognizing cognitive disorder are higher, and the cognitive evaluation method can also be used for cognitive evaluation of rehabilitation training patients, and can be applied to the evaluation of language behavior development and cognitive disorder screening of children, and rehabilitation training is carried out through intelligent electronic equipment.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of the structure for analyzing the unique organoleptic properties of a subject according to the present invention;
FIG. 3 is a schematic diagram of a data mining technique according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: an evaluation method using sensory analysis, comprising the steps of:
s1: analyzing the specific sensory characteristics of the research object to obtain the sensory facial expression data and words of the user
Data;
s2: the method comprises the steps of utilizing a modern instrument analysis technical means to combine data metrology to store and process digitalized information of a researched user object, and obtaining a physical and chemical parameter space with strong correlation with user sensory characteristics;
s3: acquiring an intelligent sensory image and a map space of a researched user object by using an intelligent sensory analysis technology;
s4: utilizing the tablet device to perform simple cognitive assessment, simple mental state question answering and daily life capacity question answering on the user;
s5: and information fusion is carried out on sensory facial expression data and language data of the user, a physical and chemical parameter space, an intelligent sensory image and a map space by using an information fusion technology, and the relationship among a sensory evaluation index of the user, a physical and chemical test index and an intelligent sensory analysis index is obtained from basic data of a researched object by using a data mining technology so as to evaluate the sensory quality of the researched user object.
The evaluation platform is an instrument and a system for assisting a rehabilitation teacher or a user to evaluate by a company and an organization.
And (4) leading a rehabilitation teacher or scanning the WeChat two-dimensional code on the evaluation instrument by the new user, filling in the information of the registered user, scanning the code again and logging in, and entering a system home page. And checking the evaluation classification on the system home page, and opening an evaluation question bank after clicking a classification button to be evaluated. After the test and evaluation database is answered, the system can carry out intelligent operation according to the answers to generate a personalized test and evaluation report. After the user views the evaluation report, the user can click on the 'generation training plan', and the system can intelligently match a reasonable 'training plan' and a 'course system' according to the evaluation report and the user information. After the user views the complete "training program" and tries on the "course system," the user can purchase the course if satisfied.
The analysis of the specific sensory characteristics of the study object specifically comprises eight cognitive fields of visual space and executive function, naming, memory, attention, language, abstraction, delayed recall and orientation, has high sensitivity and specificity on cognitive disorder recognition, and can also be used for cognitive assessment of rehabilitation training patients.
The modern instrumental analysis technology approach includes intelligent sensory analysis techniques using machine vision, tactile sensors and speech technology.
The storage and processing of the digital information of the researched user object comprise the storage and processing of the digital information of the expression, answer and touch operation of the researched user object.
The method for acquiring the intelligent sense images and the map spaces of the researched user objects comprises the step of acquiring the intelligent sense images and the map spaces of vision, smell, taste and touch of the researched objects.
The data mining technology comprises a cloud network, a support vector machine, a popular algorithm, cluster analysis, principal component analysis, fuzzy comprehensive judgment and discriminant analysis.
The invention also relates to application of the evaluation method in evaluation of language behavior development and cognitive disorder screening of children.
The training platform comprises a training platform and an exercise platform, wherein the training platform is a place for assisting a rehabilitation teacher or a user to train for companies and institutions.
After purchasing courses, a user can independently perform rehabilitation training in a training place set by an organization after logging in a training platform by scanning the two-dimensional code; the training room may have a mobile rehabilitee performing professional guidance and supervision.
The exercise table is portable rehabilitation training equipment purchased by a user, and the user can conveniently perform rehabilitation training at any time and any place. After the user scans the code and logs in, the user can check: detailed information such as assessment reports, training plans, training reports, my courses, etc.
When the method is used, the specific sensory characteristics of a researched object are analyzed, sensory facial expression data and language data of a user are obtained, the researched user object is stored and processed by combining modern instrument analysis technical means with data metrology, a physicochemical parameter space with strong correlation with the sensory characteristics of the user is obtained, so that the user is preliminarily evaluated, and an intelligent sensory image and a spectrum space of the researched user object are obtained by using an intelligent sensory analysis technology; utilizing the tablet device to perform simple cognitive assessment, simple mental state question answering and daily life capacity question answering on the user; therefore, the interaction between the user and the equipment is carried out, the system is graded for primary evaluation, the information fusion technology is utilized to carry out information fusion on sensory facial expression data and language data of the user, physical and chemical parameter space and intelligent sensory image and atlas space of the user, the data mining technology is utilized to obtain the relationship between sensory evaluation indexes, physical and chemical test indexes and intelligent sensory analysis indexes of the user from basic data of a researched object so as to finally evaluate the sensory quality of the researched user object, the specific sensory characteristics of the researched object are analyzed, the cognitive evaluation method specifically comprises eight cognitive fields of visual space, execution function, naming, memory, attention, language, abstraction, delayed recall and directional force, the sensitivity and the specificity for recognizing cognitive disorder are higher, and the cognitive evaluation method can also be used for cognitive evaluation of rehabilitation training patients, and can be applied to the evaluation of language behavior development and cognitive disorder screening of children, and rehabilitation training is carried out through intelligent electronic equipment.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110899773.8A CN113761160A (en) | 2021-08-06 | 2021-08-06 | Evaluation method and application of sensory analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110899773.8A CN113761160A (en) | 2021-08-06 | 2021-08-06 | Evaluation method and application of sensory analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113761160A true CN113761160A (en) | 2021-12-07 |
Family
ID=78788800
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110899773.8A Pending CN113761160A (en) | 2021-08-06 | 2021-08-06 | Evaluation method and application of sensory analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113761160A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114387678A (en) * | 2022-01-11 | 2022-04-22 | 凌云美嘉(西安)智能科技有限公司 | Method and apparatus for evaluating language readability using non-verbal body symbols |
-
2021
- 2021-08-06 CN CN202110899773.8A patent/CN113761160A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114387678A (en) * | 2022-01-11 | 2022-04-22 | 凌云美嘉(西安)智能科技有限公司 | Method and apparatus for evaluating language readability using non-verbal body symbols |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6858316B2 (en) | Cognitive function rehabilitation training methods and equipment | |
| KR102301143B1 (en) | Method for examination and training evaluation for cognitive skill | |
| Feidakis et al. | Emotion measurement in intelligent tutoring systems: what, when and how to measure | |
| Wu et al. | Meaningful gestures: Electrophysiological indices of iconic gesture comprehension | |
| CN109288518A (en) | Brain cognition neural Function Appraising system and method based on EEG and ERPs | |
| Penn | Pragmatic assessment and therapy for persons with brain damage: What have clinicians gleaned in two decades? | |
| KR101854812B1 (en) | Psychiatric symptoms rating scale system using multiple contents and bio-signal analysis | |
| CN108065942A (en) | A kind of preparation method of stimulus information for east personality characteristics | |
| Tian et al. | ResNet-50 based technique for EEG image characterization due to varying environmental stimuli | |
| Hill et al. | Critical issues using brain-computer interfaces for augmentative and alternative communication | |
| CN112508751A (en) | Intelligent scientific body-building guidance system for traditional sports prescription | |
| David et al. | Activity recognition of stroke‐affected people using wearable sensor | |
| CN112998725A (en) | Rehabilitation method and system of brain-computer interface technology based on motion observation | |
| Smith et al. | Detection of simulated vocal dysfunctions using complex sEMG patterns | |
| CN110473631B (en) | Intelligent sleep monitoring method and system based on real world research | |
| Maart et al. | Expanding on the use of The International Classification of Functioning, Disability and Health: Examples and resources | |
| CN113761160A (en) | Evaluation method and application of sensory analysis | |
| Vannuscorps et al. | When does action comprehension need motor involvement? Evidence from upper limb aplasia | |
| Demartino et al. | Hand function and type of grasp used by chronic stroke individuals in actual environment | |
| Jaye | Talking around embodiment: the views of GPs following participation in medical anthropology courses | |
| CN109192276A (en) | A kind of sentiment analysis method, apparatus and system based on social network-i i-platform | |
| Me et al. | Review of practices in less developed countries on the collection of disability data | |
| Díaz-Orueta | Advances in neuropsychological assessment of attention | |
| Andreas et al. | CNN-based emotional stress classification using smart learning dataset | |
| Spoletini et al. | Empowering requirements elicitation interviews with vocal and biofeedback analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20211207 |