Hand Gesture Detection Using Segmentation

Abstract

Hand gesture detection is a project which recognizes the gesture of hands and detect accordingly. Hand Gesture recognition is an important technique for creating user-friendly interfaces. Hand gesture is recognized by robots, for example, can take human commands, and those who are deaf or who cannot speak, can recognize the sign language for communication. Hand gesture recognition in video games could help by allowing players to use gestures to interact with the game rather than a controller. Moreover, to account for the infinite number of possible hand positions in three dimensions, such an algorithm must be more robust. It must also be capable of working with video rather than static images.

Authors and Affiliations

Nishu Sethi, Shivangi Kaushal, Neha Bhateja

Keywords

Related Articles

Application of IoT in Healthcare

There has been a lot of research into medical facilities and technological developments during the last ten years. To be more specific, the Internet (IoT) has shown promise in connecting a range of healthcare gear, monit...

Proposed Methodology for Secure Image Logging System towards Cyber Forensic

In recent years, the importance of cyber forensics (CF) has increased. Meanwhile, society has become considerably digitized, and cybercrime, such as computer attacks or digital data thefts, has increased significantly. C...

Charging Ahead- Addressing Key Barriers to Electric Vehicle Market Penetration in India

The transition to electric vehicles (EVs) represents a pivotal step towards sustainable transportation, particularly in the context of India's burgeoning population and rapid urbanization. Despite significant potential,...

Smart Helmet Implementation using GSM Module

India is the second most populous country in the world, and it has a lot of young people. These days, young people like riding bikes, but because it's cool, they don't wear helmets. Because of these things, there are mor...

Effects of Two Modes of Computer Assisted Instruction on Pupils’ Achievement and Retention in English Language Spelling in Niger State- Nigeria

The study investigated the effects of two modes of Computer Assisted Tutorial, Drill and Practice Instructional packages (CAI) on Pupils Achievement and Retention in English Language Spelling in Niger State. Findings sho...

Download PDF file
  • EP ID EP747506
  • DOI 10.21276/ijircst.2021.9.3.13
  • Views 33
  • Downloads 0

How To Cite

Nishu Sethi, Shivangi Kaushal, Neha Bhateja (2021). Hand Gesture Detection Using Segmentation. International Journal of Innovative Research in Computer Science and Technology, 9(3), -. https://europub.co.uk/articles/-A-747506