Design of Engineering Fall Detection System Based on Multi-sensor Fusion
This paper expounds the design of a fall detection system based on multiple sensors of smartphones.It collects information from acceleration,gyroscope,gravity,and position sensors,and uses a recurrent neural network model to achieve efficient and accurate fall detection.The experimental results show that the system can respond in a timely manner.