Action Recognition with PIR Sensor Array and Bidirectional Long Short-term Memory Neural Network
Tong Liu, Jianchu Liang, Kai Wan, Jun Liu · 2023
The spatio-temporal sequence of human body movements provides important information about daily action patterns. This article presents a pyroelectric infrared (PIR) sensor array for detecting human motion features and develops a bidirectional long short-term memory (LSTM) neural network for sequence recognition. A PIR sensor array with five direction-sensitive modules is proposed to detect the changing infrared field induced by the human head, upper limb, and lower limb. The low-dimensional output of the sensor array is directly fed to a multi-layer bidirectional LSTM-based neural network for sequential dependency learning. A PIR data set of seven daily actions is generated by four subjects imitating the predefined movements. Experimental results demonstrate that the presented approach achieves high accuracy in action recognition.