Development of Wearable Device and Clustering Based Method for Detecting Falls in the Elderly
Po-Ting Lee, Wen-Ching Chiu, Yuan-Hao Ho, You-Cheng Tai, Chou‐Ching K. Lin, Chih‐Lung Lin · 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) · 2021
This work presents a wearable inertial sensor-based system for detecting falls in the elderly. The system is fixed on the elderly’s head to obtain stable human body acceleration. To detect a variety of falls, a K-means model based on abundant daily activity data is constructed, and then the fall samples are detected by comparing the similarity with the other non-fall samples. The system requires no fall samples for training, and achieves an accuracy of 96.8%.