DocumentCode :
2550134
Title :
Optimal Consensus Intuitive Hand Gesture Vocabulary Design
Author :
Stern, Helman I. ; Wachs, Juan P. ; Edan, Yael
Author_Institution :
Dept. of Ind. Eng. & Manage., Ben-Gurion Univ. of the Negev, Beer-Sheva
fYear :
2008
fDate :
4-7 Aug. 2008
Firstpage :
96
Lastpage :
103
Abstract :
Gesture interfaces are needed for natural intuitive communication with machine devices. Hand gesture intuitiveness is the cognitive association between a command or intent, and its physical gestural expression. Using an automated tool we quantified intuitive indices for static gesture commands for a car navigation task. A small number of gestures were selected to express most of the commands with 1/3 used only by single individuals. This followed a power function analogous to Zipf´s Law for languages. We found gesture preferences to be highly individualized, providing evidence to refute the hypothesis of the universality of gestures. A mathematical program was formulated to obtain a consensus gesture vocabulary for a car navigation system with the objective of maximizing total intuitiveness. We also introduced the notion of complex consensus gesture vocabularies in which multi-gestures are associated with single commands and multi-commands are associated with single gestures. We recommend hybrid gesture vocabularies, decided by consensus with several gestures selected individually.
Keywords :
gesture recognition; car navigation system; cognitive association; gesture interfaces; hand gesture vocabulary design; hybrid gesture vocabularies; natural intuitive communication; Computer interfaces; Computer science; Conference management; Engineering management; Human factors; Industrial engineering; Man machine systems; Navigation; Robots; Vocabulary; gesture selection; hand gestures; interfaces; intuitive indices; man-machine interaction; optimal vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing, 2008 IEEE International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-3279-0
Electronic_ISBN :
978-0-7695-3279-0
Type :
conf
DOI :
10.1109/ICSC.2008.29
Filename :
4597179
Link To Document :
بازگشت