Recognizing Hand Gestures with CALI

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dc.contributor.authorJota, Ricardoen_US
dc.contributor.authorFerreira, Alfredoen_US
dc.contributor.authorCerejo, Marianaen_US
dc.contributor.authorSantos, Joséen_US
dc.contributor.authorFonseca, Manuel J.en_US
dc.contributor.authorJorge, Joaquim A.en_US
dc.contributor.editorPere Brunet and Nuno Correia and Gladimir Baranoskien_US
dc.date.accessioned2014-01-31T18:53:40Z
dc.date.available2014-01-31T18:53:40Z
dc.date.issued2006en_US
dc.description.abstractHuman computer interaction techniques that do not rely on devices are often perceived as more natural by users. Many of these, include hand pose recognition as an interaction technique appealing to users. In this paper we describe and evaluate two techniques for hand pose recognition, based on CALI, a general library for gesture recognition. This library was initially designed for calligraphic recognition, however recent usage shows that CALI is able to support other applications. One unexplored research area includes its application to hand pose recognition, even though there are already different approaches to the subject using techniques such as Hidden Markov Models or Model-based tracking. We developed and tested a new approach to recognize hand poses taking advantage of the features obtained from CALI. To explore this approach we implemented two techniques. The first recognizes bare-hands by their outer contours, the second uses color marks on each fingertip to track the hand and recognize its pose. Experimental results show that both approaches present recognitions rates around 93%.en_US
dc.description.seriesinformationSIACG 2006: Ibero-American Symposium in Computer Graphicsen_US
dc.identifier.isbn3-905673-60-6en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/siacg/siacg06/187-193en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): H.5.2 [Information Interfaces and Presentation]: User Interfaces - Input Devices and Strategies I.3.6 [Pattern Recognition]: Implementation - Interactive Systemsen_US
dc.titleRecognizing Hand Gestures with CALIen_US
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