Hand Gesture Recognition Using 3-D Depth Perception
Parth Sharma1, Saru Dhir2, Madhurima3
1Parth Sharma, B.Tech, Department of Information Technology, Amity School of Engineering & Technology, Amity University, Noida (Uttar Pradesh), India.
2Saru Dhir, Department of Software Engineering, Agile Development, Software Testing, Cyber Crime.
3Madhurima Hooda, Assistant Professor, Department of Information Technology, Amity School of Engineering and Technology, Amity University, Noida (Uttar Pradesh), India.
Manuscript received on 22 November 2019 | Revised Manuscript received on 03 December 2019 | Manuscript Published on 14 December 2019 | PP: 116-120 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10261191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1026.1191S19
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© 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: The paper provides information on hand gesture recognition through its various methods but primarily focused on 3D depth-perceiving sensor technology for hand tracking and gesture recognition. Hand gesture recognition provides new opportunities for human-computer interactions (HCI) and over the past decade has emerged in various fields and technologies. The paper lures an likeness amongst the present technologies in the market and the workings behind their operations. It differentiates between the old and newer mechanics employed in the products. Furthermore, the paper discusses the existing uses of gesture recognition with their limitations. It provides proposed ideas in various fields, their use and future developmental paths.
Keywords: Human-computer Interaction, Depth Data, Old and Newer Methods of Gesture Recognition.
Scope of the Article: Pattern Recognition