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Title Estimating the Difficulty of Touchless Hand Gestures
Authors Orlando Erazo, José A. Pino
Publication date January 2014
Abstract As part of a Natural User Interface we can use
human body gestures, although they must be evaluated to get
better results. We can evaluate them using a quantitative model.
For this purpose, we begin the analysis of touchless hand gestures
based on significant gesture features. From the large number of
possible features we selected the length and the directions of
trajectory. We propose to use the quantity of distance units and
directions for describing and quantifying gestures. Moreover, we
found that well-defined changes of directions (or corners)
influence the speed for performing a gesture, thus users need more
time to execute the gesture. Additionally, a model was developed
using these three features. The model allows estimating the
difficulty of gestures before users testing.
Pages 17-22
Volume 12
Journal name IEEE Latin America
Publisher IEEE Press (Piscataway, NJ, USA)
Reference URL View reference page