Computer Vision-Based Hand Gesture Recognition

سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 350

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شناسه ملی سند علمی:

ICECM03_047

تاریخ نمایه سازی: 20 بهمن 1400

چکیده مقاله:

A human–computer interaction is generally limited to taking input from the user using handheld devices like keyboard, mouse, or scanners. With the advancement in computers, the user interaction approaches have also advanced. Direct use of hands as an input device is an attractive method for providing natural Human–Computer Interaction. It is also helpful for people who use sign language. The chapter aims to study the existing methods for Hand Gesture Recognition and provide a comparative analysis of the same. The entire process of hand gesture recognition is divided into three phases: hand detection, hand tracking, and recognition. The chapter includes a review of the different methods used for the hand gesture recognition. The recognition phase is classified based on the way the input is received as glove based or vision based. For recognition, various methods like Feature extraction, Hidden Markov Model (HMM), Principal Component Analysis (PCA) are compared along with the reported accuracy.

نویسندگان

Mohammadali Charoosaei

Department of Electrical and Computer Engineering, Jundi-Shapur University of Technology