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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. |
Downloaded | 7 times |
Pages | 14-17 |
Conference name | Chilean Conference on Human-Computer Interaction |
Publisher | ACM Press (New York, NY, USA) |
Reference URL |