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Title Analyzing Touchless Hand Gestures Performance
Authors Orlando Erazo, José A. Pino
Publication date 2013
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 gesture analysis of touchless hand gestures
with this work. Our analysis is based on significant gesture
attributes. From the large number of possible attributes we select
the trajectory. We propose to describe the trajectory by using
distance units and directions. We then evaluate our proposal with
two gesture data sets. We found that the proposal can be used to
describe and quantify gesture trajectories. 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. The proposed method allows a trajectory to
be quantified in a simple manner.
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Pages 14-17
Conference name Chilean Conference on Human-Computer Interaction
Publisher ACM Press (New York, NY, USA)
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