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Measuring frailty and detecting falls for elderly home care using depth camera

  • Published:2017-06-19 Issue:4 Volume:9 Page:469-481
  • ISSN:1876-1372
  • Container-title:Journal of Ambient Intelligence and Smart Environments
  • language:
  • Short-container-title:AIS

Author:

Dubois Amandine1,Charpillet François23

Affiliation:

1. Department of Medicine, University of Friburg, Fribourg, Switzerland. E-mail: amandine.dubois@unifr.ch

2. Inria, Villers-lès-Nancy, 54600, France. E-mail: francois.charpillet@inria.fr

3. Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, 54506, France

Publisher

IOS Press

Subject

Software

Reference32 articles.

1. Foot plantar pressure measurement system: A review;Abdul Razak;Sensors,2012

2. Support vector machine algorithm for human fall recognition kinect-based skeletal data

3. Gait abnormalities in elderly fallers;Auvinet;Journal of Aging and Physical Activity,2003

4. Fall detection with multiple cameras: An occlusion-resistant method based on 3-D silhouette vertical distribution;Auvinet;IEEE Transactions on Information Technology in Biomedicine (EMBS),2011

5. Gait analysis using a shoe-integrated wireless sensor system;Bamberg;Information Technology in Biomedicine, IEEE Transactions on,2008

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated Detection of In-Home Activities with Ultra-Wideband Sensors;Sensors;2024-07-20

2. Vision-based Human Fall Detection Systems: A Review;Procedia Computer Science;2024

3. Introduction (FR);Revue Ouverte d'Intelligence Artificielle;2023-05-30

4. Introduction (EN);Revue Ouverte d'Intelligence Artificielle;2023-05-30

5. A Review of Frailty Analysis in Older Adults: From Clinical Tools Towards Fully Automated Preventive Systems;IRBM;2023-04
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