2007 11th IEEE International Symposium on Wearable Computers 2007
DOI: 10.1109/iswc.2007.4373770
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The Gesture Watch: A Wireless Contact-free Gesture based Wrist Interface

Abstract: We introduce the Gesture Watch, a mobile wireless device worn on a user's wrist that allows hand gesture control of other devices. The Gesture Watch utilizes an array of infrared proximity sensors to sense hand gestures made over the device and interprets the gestures using hidden Markov models. The Gesture Watch maps intuitive gross hand gestures to control signals such as the play and pause commands commonly found on mobile media players. We present our evaluation of the Gesture Watch designed to determine i… Show more

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Cited by 132 publications
(67 citation statements)
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“…systems like the Zypad, "WatchPad", etc. to name a few [5], [6], [7], [8]), but have not addressed vibro-tactile stimulation for non-disruptive communication up until now. [9] generally addresses user distraction as a factor which may mask or obscure vibrotactile perception.…”
Section: Introductionmentioning
confidence: 99%
“…systems like the Zypad, "WatchPad", etc. to name a few [5], [6], [7], [8]), but have not addressed vibro-tactile stimulation for non-disruptive communication up until now. [9] generally addresses user distraction as a factor which may mask or obscure vibrotactile perception.…”
Section: Introductionmentioning
confidence: 99%
“…Ideas from Skinput [3] and Gesture Watch [5] have been further developed and combined. A prototype has been constructed that can detect six different distinct gestures and uses a combination of infra-red sensors, ultrasound sensors and a piezoelectric sensor.…”
Section: Resultsmentioning
confidence: 99%
“…BodyScan [8] relies on radio waves to sense human activities and vital signs. GestureWatch [21] and HoverFlow [22] are both systems that recognize in-air hand gestures performed over mobile or wearable devices relying on infrared proximity sensors. Hand gestures can also be recognized from a single RGB camera found on most mobile devices [40].…”
Section: Gestural Interaction With Wearablesmentioning
confidence: 99%