Study on the Potential of an Artificial Intelligence-Based Algorithm for Hand Gesture-Controlled Lighting Systems

Author:

Thanh Lanh-Le,Thanh Le Hien,Nguyen Ngoc Son-An,Quoc Anh-Luong,Quoc Ky-Hoang

Publisher

Springer Nature Switzerland

Reference9 articles.

1. Di Donato, B., Dooley, J., Hockman, J., Bullock, J., & Hall, S. (2017). MyoSpat: A hand-gesture controlled system for sound and light projections manipulation.

2. Natarajan, K., Nguyen, T. H. D., & Mete, M. (2018, April). Hand gesture controlled drones: An open source library. In In 2018 1st International Conference on Data Intelligence and Security (ICDIS) (pp. 168–175). IEEE.

3. Bhuiyan, M., & Picking, R. (2009, November). Gesture-controlled user interfaces, what have we done and what’s next. In Proceedings of the fifth collaborative research symposium on security, E-Learning, Internet and Networking (SEIN 2009), Darmstadt, Germany (pp. 26–27).

4. Sai Pravallika, G., Lakshmi Akhila, M., Divya, M., Madhu Babu, T., & Kranthi Kumar, G. (2022). Hand gesture controlled contactless elevator. In Inventive communication and computational technologies: Proceedings of ICICCT 2021 (pp. 719–730). Springer.

5. Gourob, J. H., Raxit, S., & Hasan, A. (2021, July). A robotic hand: Controlled with vision based hand gesture recognition system. In In 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI) (pp. 1–4). IEEE.

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