Sensors
Accurate Human Movement Detection Using Low-Resolution ToF Sensors and LSTM Neural Networks
Researchers from Yeungnam University in South Korea have made significant progress in developing an innovative method for identifying human movement direction in indoor environments using low-resolution time-of-flight (ToF) sensors and long short-term memory (LSTM) neural networks. This breakthrough has the potential to revolutionize various applications, including surveillance, navigation, and human-computer