@inproceedings{d0f0b67565544c92a243c0f5a3551fb5,
title = "Development of Wearable Device and Clustering Based Method for Detecting Falls in the Elderly",
abstract = "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\%.",
author = "Lee, \{Po Ting\} and Chiu, \{Wen Ching\} and Ho, \{Yuan Hao\} and Tai, \{You Cheng\} and Lin, \{Chou Ching K.\} and Lin, \{Chih Lung\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 10th IEEE Global Conference on Consumer Electronics, GCCE 2021 ; Conference date: 12-10-2021 Through 15-10-2021",
year = "2021",
doi = "10.1109/GCCE53005.2021.9621972",
language = "English",
series = "2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "231--232",
booktitle = "2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021",
address = "United States",
}