Vision Based Daily Activity Monitoring in Indoor Environment
Kshitij Sabale, Aman Bharuka, Omkar Patole, Prasad Patil, Prof. Poonam Nagale · International Journal of Advanced Research in Science Communication and Technology · 2022
Human Activity Recognition aims to recognize activities from a series of observations on the actions of subjects’ and environmental conditions. The vision based daily activity recognition research is the basis of many applications including video surveillance, health-care and human-computer interaction. Here, in this paper the idea of activity recognition-classification using LSTM network is presented.