Hand Gesture Recognition Using Computer Vision Applied to Colombian Sign Language

Author:

Triviño-López I. C.,Rodríguez-Garavito C. H.,Martinez-Caldas J. S.

Publisher

Springer International Publishing

Reference21 articles.

1. Plouffe, G., Cretu, A., Payeur, P.: Natural Human-Computer Interaction Using Static and Dynamic Hand Gestures. IEEE (2015). ISBN 978-1-4673-9175-7

2. Yeo, H., Lee, B., Lim, H.: Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware. Multimedia Tools Appl. 74, 2687–2715 (2013). https://doi.org/10.1007/s11042-013-1501-1

3. Song, W., Le, A., Yun, S., Jung, S.: Hole filling for Kinect V2 depth images (2014)

4. Meng, H., Furao, S., Jinxi, Z.: Hidden Markov models based dynamic hand gesture recognition with incremental learning method (2014)

5. López, P., Antonio, Valveny, E., Vanrell, M.: Detección de objetos (2015)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hand Cricket Game Application Using Computer Vision;JOURNAL OF HIGH-FREQUENCY COMMUNICATION TECHNOLOGIES;2023-11-19

2. Colombian Sign Language Classification Based on Hands Pose and Machine Learning Techniques;Smart Technologies, Systems and Applications;2023

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