Abstract
Human interaction is related to the development and maintenance of communication. Communication is largely divided into verbal communication and non-verbal communication. Verbal communication involves the use of a word or words. Non-verbal communication is the use of body language. Gestures belong to non-verbal communication. It is possible to represent various types of motion. For this reason, gestures are spotlighted as a means of implementing an NUI/NUX in the field of HCI and HRI. In this paper, using Kinect and the geometric characteristics of the hand, we propose method for recognizing the number of fingers and detecting the hand area. Because Kinect provides a color image and depth image at the same time, it is easy to understand a gesture. The finger number is identified by calculating the length of the outline and central point of the hand.
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Acknowledgments
This research is supported by Seoul R&BD Program (SS11008).
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Lee, D., Shin, D., Shin, D. (2016). Hand Recognition Method with Kinect. In: Park, J., Yi, G., Jeong, YS., Shen, H. (eds) Advances in Parallel and Distributed Computing and Ubiquitous Services. Lecture Notes in Electrical Engineering, vol 368. Springer, Singapore. https://doi.org/10.1007/978-981-10-0068-3_19
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DOI: https://doi.org/10.1007/978-981-10-0068-3_19
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