Intelligent Mental Health Analyzer by Biofeedback

Abstract

Many apps and analyzers based on machine learning have been designed to help and cure the stress issue. The chapter is based on an experimental research work that the authors performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In the research work, the correctness and accuracy have been studied and compared for two biofeedback devices named as electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes—audio, visual, and audio-visual—with the help of data set of tension type headache (TTH) patients. The authors have realized by their research work that these days people have lot of stress in their lives, so they planned to make an effort for reducing the stress level of people by their technical knowledge of computer science. In the chapter, they have a website that contains a closed set of questionnaires from SF-36, which have some weight associated with each question.

Application of Computer Digital Technology and Group Psychological Counseling in Higher Vocational Education Mental Health Education Curriculum under Complex Network Environment

“…ird, the homogeneity of the students in the class is high. ey are of similar age, have roughly the same social experience, have comparable levels of cognitive development, and have certain similarities in psychological needs and developmental confusion, a feature that facilitates the goal setting, content selection, and effect evaluation of group counseling [16][17][18][19]. e advantages of group counseling provide a strong guarantee for strengthening class construction in higher vocational education.…”

“…e intelligent mental health assessment architecture is shown in Figure 3 the fuzzy nature of mental health condition and the highly nonlinear characteristics of mental condition judgment, and effectively combines neural network and fuzzy mathematics. e research on face information recognition based on computer vision has attracted the attention of many researchers [17][18][19][20][21]. e Natural Science Foundation of China has planned the field of computer vision-based facial information recognition as an important research direction.…”