A Non-Contact Fall Detection Method for Bathroom Application Based on MEMS Infrared Sensors

A Non-Contact Fall Detection Method for Bathroom Application Based on MEMS Infrared Sensors

The ratio of the elderly to the total population around the world is larger than 10%, and about 30% of the elderly are injured by falls each year. Accidental falls, especially bathroom falls, account for a large proportion. Therefore, fall events detection of the elderly is of great importance. In t...

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Bibliographic Details
Main Authors: Chunhua He, Shuibin Liu, Guangxiong Zhong, Heng Wu, Lianglun Cheng, Juze Lin, Qinwen Huang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Micromachines
Subjects:
image processing
fall detection
feature extraction
MEMS infrared sensor
BP neural network
Online Access:https://www.mdpi.com/2072-666X/14/1/130

Internet

https://www.mdpi.com/2072-666X/14/1/130

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