閱讀全文 | |
篇名 |
Research OF HMM-Based Fall Detection System for Elderly
|
---|---|
並列篇名 | Research OF HMM-Based Fall Detection System for Elderly |
作者 | Wei-Jian Xu、Yi-Feng Zhao、Wei-Nan Cao、Wei-Che Chien |
英文摘要 | 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. |
起訖頁 | 027-038 |
關鍵詞 | fall detection、hidden Markov model、wearable device、G-sensor |
刊名 | 電腦學刊 |
期數 | 202102 (32:1期) |
DOI |
|
QR Code | |
該期刊 上一篇
| 2D Phase Unwrapping Method Based on Minimum Balanced Trees of Dual Residues |
該期刊 下一篇
| An Information Security Protocol for Automotive Ethernet |