Depth camera-based fall detection system for the elderly(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2019年第2期
- Page:
- 223-228
- Research Field:
- 医学信号处理与医学仪器
- Publishing date:
Info
- Title:
- Depth camera-based fall detection system for the elderly
- Author(s):
- SHEN Daiyou1; KU Hong’an2; PI Hongying2; LIU Lianqi3; YUAN Kehong1
- 1. Department of Biomedical Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China; 2. Department of Out-patient & Nursing, Chinese PLA General Hospital, Beijing 100853, China; 3. Home for the Aged Guangzhou, Guangzhou 510550, China
- Keywords:
- ; Keywords: depth camera; convolutional neural network; home monitoring; fall detection
- PACS:
- R318.6
- DOI:
- DOI:10.3969/j.issn.1005-202X.2019.02.019
- Abstract:
- Abstract: A fall detection system using a depth camera with a high accuracy and a low false alarm rate is designed to ease the pressure of children who are lacking the energy to take care of their elderly parents and alleviate the pressure caused by the increasingly aging. In this scheme, calibrated RGB camera and infra red camera are used to obtain the 3D image of the surroundings of the elderly, and convolutional neural network is used to extract the multijoint positions. Whether fall occurs is determined by the comprehensive consideration of the 3D information of surrounding and the space-time characteristics of human joints between video frames. The test results show that the proposed fall detection system has a high accuracy and superior roubst for the elderly.
Last Update: 2019-02-26