| Document Date: 2010-07-31 15:08:10
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City OF FOOT / New York / Madison / New York City / / Company WEKA Data Mining Software / Pearson / Springer Science+Business Media LLC / Azen S.P. / / Country United States / / Currency USD / / / Event Product Issues / / Facility Khai N. Truong University of Toronto Toronto / / IndustryTerm real-time foot gesture recognition system / commodity mobile device / planar foot-operated cursor-positioning device / machine learning algorithms / supervised learning algorithm / side mobile device / haptic interpersonal communication applications / experiment software / real time / wireless mouse / orientation aware devices / body activity recognition systems / commodity mobile devices / unobtrusive wearable interaction devices / mobile devices / cross validation protocols / handheld devices / wearable devices / mobile touch-screen devices / / Organization Microsoft Voice Command / Khai N. Truong University of Toronto Toronto / IEEE Computer Society / / Person Koji Yatani / Van Essen / Frank Li / David Dearman / C. Pattern / Alyssa Rosenzweig / Mustafa Bilgic / Williamson / Robert Tillman / Julie Kientz / / Position head / Author / flat and facing forward / Bishop / / Product iPhone / Vicon Motion Capture / Naïve Bayes / users / / ProvinceOrState New York / / PublishedMedium The Applied Journal / / Technology following cross validation protocols / Virtual Reality / WPCV protocol / Vicon Motion Capture technology / mobile phones / machine learning / mobile device / Classification Algorithm / mobile devices / cellular telephone / gesture recognition system / supervised learning algorithm / five machine learning algorithms / WP protocol / gesture recognition / LOPO protocol / / URL http /
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Sensing Foot Gestures from the Pocket Jeremy Scott, David Dearman, Koji Yatani, and Khai N. Truong University of Toronto Toronto, ON M5S 3G4, Canada [removed], {dearman, koji, khai}@dgp.toronto.edu ABSTRACT