This paper proposes a markerless system whose purpose is to help preventing falls of elderly people at home. To track human movements, the Microsoft Kinect camera is used which allows to acquire at the same time a RGB image and a depth image.
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Pilot evaluation of an unobtrusive system to detect falls at night time
In this study, a previously proposed unobtrusive nighttime fall detection system based on wireless passive infrared sensors and furniture load sensors is evaluated in a pilot study involving three older subjects, monitored for a combined total of 174 days.
Effects of Video Game Training on the Musculoskeletal Function of Older Adults: A Systematic Review and Meta-analysis
Topics in Geriatric Rehabilitation: October/December 2014 – Volume 30 – Issue 4 – p 238-245 doi: 10.1097/TGR.0000000000000040 Effects of Exercise on Older People Effects of Video Game Training on the Musculoskeletal Function of Older Adults: A Systematic Review and Meta-analysis Rodrigues, Elisângela Valevein MSc; Valderramas, Sílvia Regina PhD; Rossetin, Liliana Laura BNurs; Gomes, Anna Raquel […]
FARSEEING study on User Experience of Exergame is published
Farseeing exergame study was presented at the 8th Nordic Conference on Human-Computer Interaction NordiCHI ’14 in Helsinki. Ather Nawaz from Trondheim group presented elderly user experience and preferences of exergames for balance training. The article is now available online in ACM digital library in the proceeding of NordiCHI ’14.
