Modelling Proper and Improper Sitting Posture of Computer Users Using Machine Vision for a Human–Computer Intelligent Interactive System during COVID-19

• Published in: Applied sciences Vol. 13; no. 9; p. 5402
• Main Authors: Estrada, Jheanel E, Vea, Larry A, Devaraj, Madhavi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2023
• Subjects: Back pain; Background noise; Body parts; Computer vision; convolutional neural network; Coronaviruses; COVID-19; Datasets; decision tree; Deep learning; expert systems; HCI; Home environment; Interactive systems; machine learning; Machine vision; Neck pain; Neural networks; Occlusion; Pandemics; Posture; Recognition; Rehabilitation; Smartphones; Surveillance; Telecommuting

Human posture recognition is one of the most challenging tasks due to the variation in human appearance, changes in the background and illumination, additional noise in the frame, and diverse characteristics and amount of data generated. Aside from these, generating a high configuration for recognit...