Paper Info
Title
Design and usability analysis of gesture-based control for common desktop tasks
Abstract
We have designed and implemented a vision-based system capable of interacting with user's natural arm and finger gestures. Using depth-based vision has reduced the effect of ambient disturbances such as noise and lighting condition. Various arm and finger gestures are designed and a system capable of detection and classification of gestures is developed and implemented. Finally the gesture recognition routine is linked to a simplified desktop for usability and human factor studies. Several factors such as precision, efficiency, ease-of-use, pleasure, fatigue, naturalness, and overall satisfaction are investigated in detail. Through different simple and complex tasks, it is concluded that finger-based inputs are superior to arm-based ones in the long run. Furthermore, it is shown that arm gestures cause more fatigue and appear less natural than finger gestures. However, factors such as time, overall satisfaction, and easiness were not affected by selecting one over the other.
Year
DOI
Venue
2013
10.1007/978-3-642-39330-3_23
HCI (4)
Keywords
Field
DocType
common desktop task,vision-based system,usability analysis,various arm,overall satisfaction,depth-based vision,natural arm,finger-based input,ambient disturbance,finger gesture,complex task,gesture-based control,arm gesture
Computer science,Gesture,Naturalness,Usability,Gesture recognition,Speech recognition,Human–computer interaction,Pleasure
Conference
Citations 
PageRank 
References 
4
0.45
13
Authors
3
Name
Order
Citations
PageRank
Farzin Farhadi-Niaki190.91
S. Ali Etemad2554.94
Ali Arya311020.31