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2015
IEEE

Low-complexity energy proportional posture/gesture recognition based on WBSN

3 years 10 months ago
Low-complexity energy proportional posture/gesture recognition based on WBSN
—This paper addresses the issue of low-power posture and gesture recognition in indoor or outdoor environments without any additional equipment. For applications based on predefined postures such as environment control and physical rehabilitation, we show that low cost and fully distributed solutions, that minimize radio communications, can be efficiently implemented. Considering that radio links provide distance information, we also demonstrate that the matrix of estimated internode distances offers complementary information that allows for the reduction of communication load. Our results are based on a simulator that can handle various measured input data, different algorithms and various noise models. Simulation results are useful and used for the development of real-life prototype.
Alexis Aulery, Jean-Philippe Diguet, Christian Rol
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where BSN
Authors Alexis Aulery, Jean-Philippe Diguet, Christian Roland, Olivier Sentieys
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