Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks

Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks

Abstract Background Falls in the elderly constitute a major health issue associated to population ageing. Current clinical tests evaluating fall risk mostly consist in assessing balance abilities. The devices used for these tests can be expensive or inconvenient to set up. We investigated whether, h...

Full description

Bibliographic Details
Main Authors: Amandine Dubois, Audrey Mouthon, Ranjith Steve Sivagnanaselvam, Jean-Pierre Bresciani
Format: Article
Language:English
Published: BMC 2019-06-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Balance analysis
Fall prevention
Elderly people
Depth camera
Online Access:http://link.springer.com/article/10.1186/s12984-019-0532-x

Internet

http://link.springer.com/article/10.1186/s12984-019-0532-x

Similar Items