CHI Conference on Human Factors in Computing Systems 2022
DOI: 10.1145/3491102.3502000
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The Voight-Kampff Machine for Automatic Custom Gesture Rejection Threshold Selection

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Cited by 2 publications
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“…They used algorithms to assign confidence that a gesture belonged in a given class, and reject classifications which fell below the assigned confidence and achieved a 93.3% overall accuracy in picking 10 dynamic gestures out of a stream of data. They reported that the thresholds of confidence had to be tailored to a given user and gesture [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…They used algorithms to assign confidence that a gesture belonged in a given class, and reject classifications which fell below the assigned confidence and achieved a 93.3% overall accuracy in picking 10 dynamic gestures out of a stream of data. They reported that the thresholds of confidence had to be tailored to a given user and gesture [ 22 ].…”
Section: Introductionmentioning
confidence: 99%