Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64392
Title: Human hand sign language recognition based on extreme learning machine
Authors: Qiao, Cheng
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2015
Abstract: As machine learning algorithms and computer processing speed greatly advanced in recent years, real-time hand gesture recognition has become a promising topic in computer science and language technology. Some of the existing limits in achieving user-friendly experience are real-time recognition speed and accuracy. This project aims to realize practical dual hand real-time recognition and to develop new man-machine interaction functions. Based on senior Mr. Jiang Runzhou’s FYP work, Ms. Cai Xiao, Mr. Liu Hongyang and the author work closely to achieve the objective. Realizable functions include PowerPoint slide show control, music player control and Rock, Paper, Scissor game. Mr. Jiang Runzhou’s past gesture recognition is also enhanced to achieve more excellent accuracy.
URI: http://hdl.handle.net/10356/64392
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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