Towards the keyboard of Oz: Learning individual soft-keyboard models from raw optical sensor data

ITS 2012 - Proceedings of the ACM Conference on Interactive Tabletops and Surfaces

Volumn , Issue , 2012, Pages 163-172

  Edelmann, Jörg ^a   Mock, Philipp ^b   Schilling, Andreas ^b   Gerjets, Peter ^a   Rosenstiel, Wolfgang ^b   Strasser, Wolfgang ^b  

^a KNOWLEDGE MEDIA RESEARCH CENTER   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

hand drift estimation; machine learning; soft keyboard; typing, optical touch sensor

Indexed keywords

CLASSIFICATION ACCURACY; ERROR PRONES; HAPTIC FEEDBACKS; INDIVIDUAL CLASSIFIERS; KEY ASSIGNMENT; RAW SENSOR; SENSOR DATA; SOFT-KEYBOARD; SUPERVISED MACHINE LEARNING; TOUCH SCREEN DISPLAYS; TOUCH SENSORS;

CONTACT SENSORS; INTERACTIVE DEVICES; LEARNING SYSTEMS;

TYPEWRITER KEYBOARDS;

EID: 84871333461     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396636.2396662     Document Type: Conference Paper

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