Abstract
For industrial environments esp. under conditions of “Industry 4.0” it is necessary to have a mobile and hands-free controlled interaction solution. Within this project a mobile robot system (for picking, lifting and transporting of small boxes) in logistic domains was created. It consists of a gesture detection and recognition system based on Microsoft Kinect™ and gesture detection algorithms. For implementing these algorithms several studies about the intuitive use, executing and understanding of mid-air-gestures were processed. The base of detection was to define, if a gesture is executed dynamically or statically and to derive a mathematical model for these different kinds of gestures. Fitting parameters to describe several gesture phases could be found and will be used for their robust recognition. A first prototype with an implementation of this technology also is shown in this paper.
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Nowack, T., Lutherdt, S., Jehring, S., Xiong, Y., Wenzel, S., Kurtz, P. (2017). Detecting Deictic Gestures for Control of Mobile Robots. In: Savage-Knepshield, P., Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. Advances in Intelligent Systems and Computing, vol 499. Springer, Cham. https://doi.org/10.1007/978-3-319-41959-6_8
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DOI: https://doi.org/10.1007/978-3-319-41959-6_8
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