A Comparative Study of Various Human Activity Recognition Approaches

• Published in: IOP conference series. Materials Science and Engineering Vol. 1131; no. 1; p. 12004
• Main Authors: Goel, Dhruv, Pradhan, Rahul
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.04.2021
• Subjects: Accelerometers; Artificial neural networks; Automatic control; Comparative studies; Data collection; Health care; Human activity recognition; Human motion; Machine learning; Motion perception; Moving object recognition; Scientific papers; Surveillance; Three dimensional models

Human Activity Recognition (HAR) is a vast and exciting topic for researchers and students. HAR aims to recognize activities by observing the actions of subjects and surrounding conditions. This topic also has many significant and futuristic applications and a basis of many automated tasks like 24*7...