Action Recognition with Multiple People Using Long Short-term Memory
Hsiang-Wen Lee, Shu-Lin Hsieh, Ming‐Fong Tsai · 2023
Human motion recognition technology has started to be applied in many important research fields, for example to assist inpatient rehabilitation and for the perception of dangerous activity. Hence, improving the accuracy of human motion recognition is a very important research topic. At present, human action recognition systems have only been developed for actions by a single person. In this paper, we propose to use LSTM technology for multi-person human action recognition model training and identification. We compare the performance of our approach with that of the ST-GCN human action recognition framework, and find that it improves the recognition accuracy by 49.69%.