Open AccessReal-time Training Model for Elderly People Balance Ability
Author(s) -
Jie Xue,
Qiong Wu,
Wenfei Mu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1325/1/012025
Subject(s) - falling (accident) , balance (ability) , trunk , elderly people , training (meteorology) , physical medicine and rehabilitation , foot (prosody) , dynamic balance , balance training , psychology , medicine , engineering , gerontology , geography , meteorology , ecology , linguistics , philosophy , mechanical engineering , psychiatry , biology
Falling happens when people’s body (excluding feet) unexpectedly touches the ground, which causes serious injuries for old people. Therefore, it is of great significance to assessing old people’s balance characteristics and help them prevent form falling. Based on this, we constructed a feature extraction model and obtained 25 factors that have the greatest influence on body balance by our model. We found that the most influential parts mainly distribute on people’s trunk, left arm, right foot and head, which can be applied in further study of falling prevention and balance supervision.