Nuisance Free Recognition of Hand Postures Over a Tabletop Display

Carreira, J. and Peixoto, P.

This paper proposes a new approach to shape classication that is well suited to the specific challenges of vision-based hand posture recognition in a multi-user tabletop collaboration scenario. We use a representation of the 2-D hand silhouette where in-plane rotation and mirror symmetry appear as particular cases of permutations, and then show how to take advantage of this pattern to develop an efficient version of the permutation invariant SVM. Invariance to these transformations is very important because the users stand around the table, and a video camera captures the scene from the top. We also report experimental results that compare this approach favorably over common classification approaches, under the stated requirements.

Cite as: Carreira, J. and Peixoto, P. (2006). Nuisance Free Recognition of Hand Postures Over a Tabletop Display. In Proc. HCSNet Workshop on the Use of Vision in Human-Computer Interaction, (VisHCI 2006), Canberra, Australia. CRPIT, 56. Goecke, R., Robles-Kelly, A. and Caelli, T., Eds. ACS. 73-78.

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