Abstract
The control of a mobile robot based on natural human gestures represents a challenge and a necessity. In this paper we will try to present an innovative system that controls a mobile robot using human gestures performed with arms. The human operator acts in the front of a Microsoft Kinect sensor [1] that identifies the skeleton and transmits the coordinates of its joint points to the PC. It follows the gestures recognition process, and transmission to the mobile robot. We succeed to integrate the skeletal tracking, gesture recognition and the control of the mobile robot in an unique application. With this application a number of experiments were deployed, that permit us to evaluate the performances of the proposed interaction system. The overall system evaluation has been made using the following performance parameters: classification accuracy, error rate, precision, recall, sensitivity and specificity.
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Pentiuc, SG., Vultur, O.M., Ciupu, A. (2014). Control of a Mobile Robot by Human Gestures. In: Zavoral, F., Jung, J., Badica, C. (eds) Intelligent Distributed Computing VII. Studies in Computational Intelligence, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-01571-2_26
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DOI: https://doi.org/10.1007/978-3-319-01571-2_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01570-5
Online ISBN: 978-3-319-01571-2
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