Type-hover-swipe in 96 bytes: A motion sensing mechanical keyboard

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2014, Pages 1695-1704

  Taylor, Stuart ^a   Keskin, Cem ^a   Hilliges, Otmar ^b   Izadi, Shahram ^a   Helmes, John ^a  

^a MICROSOFT RESEARCH   (United States)

^b ETH ZURICH   (Switzerland)

Author keywords

Gesture recognition; Input devices; Keyboard

Indexed keywords

DECISION TREES; GESTURE RECOGNITION; HUMAN ENGINEERING; LEARNING ALGORITHMS;

CLASSIFICATION ACCURACY; GESTURE RECOGNITION ALGORITHM; INPUT DEVICES; KEYBOARD; MOTION HISTORY IMAGES; QUALITATIVE FEEDBACK; RANDOM FOREST CLASSIFIER; STATIC CLASSIFICATION;

TYPEWRITER KEYBOARDS;

ALGORITHMS; DECISION MAKING; TREES;

EID: 84900421503     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2556288.2557030     Document Type: Conference Paper

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