Motion Leap Compared to Data Gloves in Human Hand Tracking

Author:

Moldovan Constantin Cătălin,Stareţu Ionel

Publisher

Springer International Publishing

Reference10 articles.

1. Romero, J., Kjellstrom, H., Kragic, D.: Monocular real-time 3D articulated hand pose estimation. In: Proceedings of the 9th IEEE-RAS’09 International Conference on Humanoids, pp. 87–92. Paris, France (2009). ISBN 978-1-4244-4597-4

2. Asaari, M.S.M., Suandi, S.A.: Hand gesture tracking system using adaptive Kalman Filter. In: Proceedings of the 10th IEEE International Conference on Intelligent Systems Design and Applications (ISDA’10), pp. 166–171. Cairo, Egypt (2010). ISBN 978-1-4244-8134-7

3. Stenger, B., Thayananthan, A., Torr, P.H.S., Cipolla, R.: Model-based hand tracking using a hierarchical Bayesian filter. IEEE Trans. Pattern Anal. Mach. Intell. 28(9), 1372–1384 (2006). ISSN 0162-8828

4. Moldovan, C.C., Staretu, I.: Real-time gesture recognition for controlling a virtual hand. Adv. Mater. Res., 463–464 (2012). ISSN 1662-8985

5. Moldovan, C.C., Staretu, I.: Analysis of the accuracy and robustness of Kinect sensor used with the scope of robot manipulation. Appl. Mech. Mater. 555 (2013). ISSN 1662-7482

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