A hybrid radio/accelerometric approach to arm posture recognition

Matteo Giuberti, Marco Martalò, Gianluigi Ferrari
2015 Journal of Ambient Intelligence and Smart Environments  
In this paper, we investigate the feasibility of a hybrid radio/accelerometric approach to perform arm posture recognition. A radio fingerprinting-based approach, through measurements of the Received radio Signal Strengths (RSSs) from anchor nodes, is first used to localize the positions (among a set determined during a training phase) of target nodes properly placed on a user arm. Accelerometric signals generated by the target nodes are then used to estimate the pitch of every device in order
more » ... o refine the radio fingerprinting results and perform posture recognition, i.e., "continuous" estimation of the positions of the target nodes. We experimentally investigate, through a SunSPOT wireless sensor network testbed, different fingerprinting-based localization algorithms, namely deterministic and probabilistic. In each case, the system parameters are optimized by minimizing a properly defined Position Error (PE). Finally, a comparison between the performance of the proposed system and that of a low-cost optical arm posture recognition system (namely, Kinect) is presented.
doi:10.3233/ais-150326 fatcat:tpe7nt4mlbfzfcs3fv3tftt7xy