A Machine Learning Approach for the Classification of Falls and Activities of Daily Living in Agricultural Workers

A Machine Learning Approach for the Classification of Falls and Activities of Daily Living in Agricultural Workers

Population aging is a global trend, and the highest proportion of elderly people in the workforce per unit of population is found in agricultural areas. However, few systematic studies have been conducted on farmer falls in the field of agricultural machinery. This study focuses on the application o...

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Bibliographic Details
Main Authors: Hyunmok Son, Jae Woon Lim, Sangbae Park, Byeongjoo Park, Jinsub Han, Hong Bae Kim, Myung Chul Lee, Kyoung-Je Jang, Ghiseok Kim, Jong Hoon Chung
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Agricultural worker
fall-detection
human behavior recognition
machine learning
wearable sensor
Online Access:https://ieeexplore.ieee.org/document/9828392/

Internet

https://ieeexplore.ieee.org/document/9828392/

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