%0 Conference Paper %1 ruffieux_feogarm:_2011 %A Ruffieux, Simon %A Lalanne, Denis %A Mugellini, Elena %A Abou Khaled, Omar %B IEEE International Conference on Systems, Man, and Cybernetics %C Anchorage, Alaska, USA %D 2011 %K imported %T FEOGARM: A Framework to Evaluate and Optimize Gesture Acquisition and Recognition Methods %X This paper discusses the general concept and implementation steps towards a framework facilitating the development and evaluation of gesture acquisition and recognition systems through a common benchmarking standard. In particular, a complete ground-truth of annotated gestures will be acquired with multiple high-resolution acquisition devices and as such will facilitate, using machine-learning techniques, the development of non-intrusive and light capture devices dedicated to gestures recognition. This article presents our concept, the current achievements and the first steps towards such a framework and corpus.

@inproceedings{ruffieux_feogarm:_2011, abstract = {This paper discusses the general concept and implementation steps towards a framework facilitating the development and evaluation of gesture acquisition and recognition systems through a common benchmarking standard. In particular, a complete ground-truth of annotated gestures will be acquired with multiple high-resolution acquisition devices and as such will facilitate, using machine-learning techniques, the development of non-intrusive and light capture devices dedicated to gestures recognition. This article presents our concept, the current achievements and the first steps towards such a framework and corpus.}, added-at = {2013-03-16T20:39:17.000+0100}, address = {Anchorage, Alaska, {USA}}, author = {Ruffieux, Simon and Lalanne, Denis and Mugellini, Elena and Abou Khaled, Omar}, biburl = {https://www.bibsonomy.org/bibtex/206e70bfce4d331df93d59f3c8936df53/omar.aboukhaled}, booktitle = {{IEEE} International Conference on Systems, Man, and Cybernetics}, interhash = {801e569f77aaa1e91d6eac6e06070414}, intrahash = {06e70bfce4d331df93d59f3c8936df53}, keywords = {imported}, month = oct, timestamp = {2013-03-16T20:39:20.000+0100}, title = {{FEOGARM:} A Framework to Evaluate and Optimize Gesture Acquisition and Recognition Methods}, year = 2011 }