Constrained LMDS technique for human motion and gesture estimation

Meriem Mhedhbi (1) , Mohamed Laaraiedh (1) , Bernard Uguen (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique

Body Area Networks is an emerging domain taking a big interest from developers and system designers. On the other hand, the need to localize is becoming necessary in diverse applications. Within this context, the aim of this paper is to estimate the different gestures and motions of the human body. Initially, we use information, about human motion, extracted from C3D files. In fact, these files provide us with the exact 3D coordinates of the sensors on a moving body. In a second step the IEEE 802.15.6 channel model is used to estimate the distances between sensors which are the input of the locomotion technique based on Multidimensional Scaling. Basically, this technique did not present satisfying results, that's why we have improved our results by an SVD reconstruction algorithm and by adding distance constraints.

Mots clés: Biological system modeling; Channel models; Estimation; Humans; IEEE 802.15 Standards; Reconstruction algorithms; gesture recognition; motion estimation; sensors; singular value decomposition; C3D files; IEEE 802.15.6 channel model; SVD reconstruction algorithm; constrained LMDS technique; human gesture estimation; human motion estimation; locomotion technique; sensor 3D coordinates; Body Area Networks; CM3; Cooperative Localization; IEEE 802.15.6; Multidimensional Scaling; RSSI; SVD; UWB

Domaines: Sciences de l'information et de la communication

Meriem Mhedhbi, Mohamed Laaraiedh, Bernard Uguen. Constrained LMDS technique for human motion and gesture estimation. Positioning Navigation and Communication (WPNC), 2012 9th Workshop on, Mar 2012, Dresden, Germany. pp.89-93, ⟨10.1109/WPNC.2012.6268744⟩. ⟨hal-00789249⟩