This paper is published in Volume-9, Issue-1, 2023
Area
Computer Science and Engineering
Author
Valluri Anirudh, Bapanapallli Jahnavi, Nanubala Subhash, Mylapalli Taruni, Pidugu Nagendra
Org/Univ
Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India
Keywords
Image Processing, KNN Classifier, One-Hot Encoding, Open CV, Supervised Machine Learning, Training Dataset.
Citations
IEEE
Valluri Anirudh, Bapanapallli Jahnavi, Nanubala Subhash, Mylapalli Taruni, Pidugu Nagendra. Automated stress recognition using supervised learning classifiers and image processing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Valluri Anirudh, Bapanapallli Jahnavi, Nanubala Subhash, Mylapalli Taruni, Pidugu Nagendra (2023). Automated stress recognition using supervised learning classifiers and image processing. International Journal of Advance Research, Ideas and Innovations in Technology, 9(1) www.IJARIIT.com.
MLA
Valluri Anirudh, Bapanapallli Jahnavi, Nanubala Subhash, Mylapalli Taruni, Pidugu Nagendra. "Automated stress recognition using supervised learning classifiers and image processing." International Journal of Advance Research, Ideas and Innovations in Technology 9.1 (2023). www.IJARIIT.com.
Valluri Anirudh, Bapanapallli Jahnavi, Nanubala Subhash, Mylapalli Taruni, Pidugu Nagendra. Automated stress recognition using supervised learning classifiers and image processing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Valluri Anirudh, Bapanapallli Jahnavi, Nanubala Subhash, Mylapalli Taruni, Pidugu Nagendra (2023). Automated stress recognition using supervised learning classifiers and image processing. International Journal of Advance Research, Ideas and Innovations in Technology, 9(1) www.IJARIIT.com.
MLA
Valluri Anirudh, Bapanapallli Jahnavi, Nanubala Subhash, Mylapalli Taruni, Pidugu Nagendra. "Automated stress recognition using supervised learning classifiers and image processing." International Journal of Advance Research, Ideas and Innovations in Technology 9.1 (2023). www.IJARIIT.com.
Abstract
Our project's key goal is to use vibrant Machine Learning and Image Processing strategies to diagnose tension in IT practitioners. Our system is an updated variant of previous stress monitoring programmers that did not include live identification or personal therapy, but this system includes live detection and daily examination of workers, as well as identifying physical and emotional stress levels in them and delivering proper stress management remedies using a survey form. Our system is mostly focused on stress management and creating a safe and spontaneous work atmosphere for workers in order to get the most out of them during working hours.
