Abstract
In this paper, an interactive system based on hand gesture recognition is proposed. We devised a way to use signed communication between electric appliances. Our system is inspired by different hand gestures that we use to make someone understand our mind. The proposed prototype will make the electric appliances understand the hand gestures made by the user in front of Kinect. The system will be able to detect the specified hand gestures made by the user and also able to recognize the meaning of the gestures, and depending on that the electric appliances will react. This interactive system can be integrated into a variety of application in daily life.
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References
Steinkirch, M.V.: On depth sensors applications for computational photography and vision, State University of New York at Stony Brook, May 20, 2013
Ishrat, T., Rahaman, M.A., Ahammad, A.: Smart fan for human tracking. In: 2014 9th International Forum on Strategic Technology (IFOST), 21 Oct 2014, pp. 124–127. IEEE
Rekimoto, J. Gesturewrist and gesturepad: Unobtrusive wearable interaction devices. In: Fifth International Symposium on Wearable Computers, 2001, pp. 21–27. Proceedings. IEEE (2001)
Kim, J.H., Thang, N.D., Kim, T.S.: 3-d hand motion tracking and gesture recognition using a data glove. In: 2009 IEEE International Symposium on Industrial Electronics, 5 July 2009, pp. 1013–1018. IEEE
Han, Y.: A low-cost visual motion data glove as an input device to interpret human hand gestures. IEEE Trans. Consumer Electron. 56(2), 501–509 (2010)
http://www.contentmaster.com/kinect/kinect-sdk-skeleton-tracking/
Nandi, S., Deb, S., Sinha, M.: Creating low cost multi-gesture device control by using depth sensing. In: Information Systems Design and Intelligent Applications 2016, pp. 105–113. Springer, India
Li, Y.: Hand gesture recognition using Kinect. In: 2012 IEEE International Conference on Computer Science and Automation Engineering, 22 Jun 2012, pp. 196–199. IEEE
Chan, M., Estève, D., Escriba, C., Campo, E.: A review of smart homes—present state and future challenges. Comput. Methods Prog. Biomed. 91(1), 55–81 (2008)
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Nandi, S., Deb, S., Sinha, M. (2018). Augmented Use of Depth Vision for Interactive Applications. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_4
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DOI: https://doi.org/10.1007/978-981-10-6875-1_4
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