Abstract
Human–Computer Interaction (HCI) approaches have been rapidly changing in tandem with advances in computer technologies. The Natural User Interface (NUI) concept is being actively investigated at present because it enables more intuitive and easier access than existing user interfaces. Most of the existing research on path planning aims at automatically generating paths for autonomous driving. However, current automatic path generation approaches have difficulty coping with emergency events during autonomous driving. This paper proposes an interface that overcomes this difficulty by enabling rapid path modification using gestures during autonomous driving. The gesture execution methods, algorithm to recognize gestures, and gesture recognition accuracy are described.
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Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2013-H0301-13-4007) supervised by the NIPA (National IT Industry Promotion Agency).
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Liu, H., Cho, S., Xi, Y., Cho, K., Um, K. (2014). Effective Path Modification Using Intuitive Gestures. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_83
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DOI: https://doi.org/10.1007/978-94-017-8798-7_83
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