Research OF HMM-Based Fall Detection System for Elderly

Research OF HMM-Based Fall Detection System for Elderly

With the aging of the deepening of the world, the fall accident of elder has been taken great attention by more and more people. This paper is committed to invent a set of automatic fall detection device, so as to reduce the damage for elder caused by fall accident and apply timely assistance. Therefore, we install a Tri-axial G-sensor on chest to acquire acceleration information, and establish a fall detection algorithm based on hidden Markov model. First the device can extract data features, then learn fall process to form a Markov fall model, finally, detect real-time data through the model to judge fall accidents from all the daily behavior. Experimental results show that the wearable device can effectively identify a simple fall process with high accuracy.