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Design And Implementation Of Open Psychological Assessment System With Facial Expression And Speech Recognition Functions

Posted on:2024-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:K W LuoFull Text:PDF
GTID:2555307079972299Subject:Electronic information
Abstract/Summary:PDF Full Text Request
With the development of technology,psychological assessment systems have shifted from simply testing whether the software has a certain level of intelligence to be able to interact with people through dialogue in the form of text.This article focuses on the demand for facial expression recognition and speech recognition in psychological assessment systems,and designs.It implements an psychological assessment system with facial expression and speech recognition functions.It forms an innovative functional supplement to existing psychological assessment systems,making the intelligent evaluation system have more dimensions to have a more comprehensive and accurate understanding of the state of the test subjects.Firstly,a requirement analysis was conducted on the system.On the premise of meeting the overall requirements,a detailed analysis was conducted on the main requirement functions of the user subsystem and the administrator subsystem.The functions of each module were designed,and a feasibility analysis was conducted on the system.Secondly,in terms of facial expression recognition algorithms,to meet the real-time requirements of psychological assessment systems,a faster expression recognition algorithm was used while ensuring high detection efficiency.The publicly available Fer2013 facial expression dataset was preprocessed,and some self-made datasets were added.The existing popular YOLOv3 tiny algorithm was applied to the expression recognition dataset.Regarding speech recognition algorithms,the DFCNN model was used to achieve the function of speech recognition and convert it into text for reprocessing.Then,regarding system design and implementation,this system mainly adopts the B/S architecture mode.The front-end uses the React framework,the back-end uses the SpringBoot framework,the database uses MariaDB,and some middleware such as Redis is used to reduce system code coupling,enhance system scalability,expand concurrency,and design encryption algorithms on the server side to ensure system security.When using the open question and answer function,the front-end will record the voice and facial expressions when answering questions and transmit them to the server for voice and facial expression analysis.At the same time,the main content of the design and implementation of an psychological assessment system was also introduced,and the program logic of scale evaluation and psychological assessment was carefully designed and analyzed.Finally,an psychological assessment system with strong usability,good security,and high detection efficiency was implemented.Finally,the details of testing and deployment of relevant systems were introduced.
Keywords/Search Tags:Psychological Assessment System, Expression Recognition, Speech Recognition, YOLO algorithm, Deep Fully Convoluti-onal Neural Network
PDF Full Text Request
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