Dynamic Gesture Recognition System to Control Media
Asnath Victy Phamila Y1, Raunak Gopal2, Geetha S3
1Asnath Victy Phamila Y*, Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.
2Raunak Gopal, Student, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.
3Geetha S, Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.
Manuscript received on May 29, 2020. | Revised Manuscript received on June 22, 2020. | Manuscript published on June 30, 2020. | PP: 572-575 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9722069520/2020©BEIESP | DOI: 10.35940/ijeat.E9722.069520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Gesture control technology is developing quickly and changing many aspects of daily life. Gesture control devices evolved from expensive primitive input devices to affordable devices capable of fine detail recognition. These devices are now used in a much wider range, from research experiments and prototypes to day-to-day commercial products. In this paper, a hand swiping algorithm to control media on personal computers is presented. The algorithm aims to be accurate, without the burden of high computational complexity. The paper begins with an introduction to gesture control and surveys existing work in the field. The main algorithm which tracks the users hand to control the volume is explained in detail in the methodology section. A Raspberry Pi board along with a Logitech HD webcam will be used to test the algorithm. The results are discussed in the experiment section, followed by the constraints and conclusion.
Keywords: Accurate, Computational Complexity, Gesture, Swiping