Image‐based fall detection in bus compartment scene-Reference-Cited by-同舟云学术

Image‐based fall detection in bus compartment scene

Published:2022-12-14 Issue:4 Volume:17 Page:1181-1194
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Zhang Xiaoping¹²,Ji Jiahui¹²,Wang Li¹²,He Zhonghe¹²,Liu Shida¹²

Affiliation:

1. School of Electrical and Control Engineering North China University of Technology Beijing China

2. Beijing Key Laboratory of Urban Road Intelligent Traffic Control Technology North China University of Technology Beijing China

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12705

Reference32 articles.

1. Improving Fall Detection Using an On-Wrist Wearable Accelerometer

2. A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform

3. An Energy-Efficient Algorithm for Classification of Fall Types Using a Wearable Sensor

4. Alwan M. Rajendran P.J. et al.:A smart and passive floor‐vibration based fall detector for elderly. In:2006 2nd International Conference on Information & Communication Technologies. Damascus Syrian Damascus Syria pp.1003–1007(2006)

5. Smart Seismic Sensing for Indoor Fall Detection, Location, and Notification

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