Deep Learning and AI for Human Activity Recognition
Human Activity Recognition (HAR) is a key AI field that uses sensor, video, wearable, and environmental data to identify and predict human activities. Advances in deep learning, including CNNs, RNNs, LSTMs, Transformers, and hybrid models, have improved recognition accuracy through automatic feature extraction. The gro...
Nisha Vasudeva, Antim Panghal, Prabu Kaliyaperumal et al.
· Advances in computational in... · 0 citations