Hand Signal Detection Using Camera

Mohd Zaid, Faizzati (2016) Hand Signal Detection Using Camera. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text Hand Signal Detection Using Camera 24 Pages.pdf - Submitted Version Download (274kB)

Abstract

Hand signal detection (HSD) using camera is a way to create a useful and highly adaptive interface between machines and their users. The aim of the project is to develop a system that able to detect our hand gestures in order to perform designated tasks. It can be done with signal processing techniques to recognize images of hand gestures from camera. This technique can assist a disabled person to perform specific tasks such as switching on and off light, fan or air-condition. The recognition of gesture is difficult because gesture exihibit human variability. It have a varius types of systems and methods available for hand detection recognition. This thesis focuses on hand signal detection using camera by proposing a combinational algorithm to detect, tracking, and recognize for interaction with an application via hand signal. There are three major parts in HSD; first are the input, second is processing data, and lastly the result of hand signal. Each section has divided into subsections which are proposed to achieve their own goals. To be more specific, this project is done especially for disabled people who cannot walk, and cannot perform any physical task as mentioned before. The only way for them to communicate is through sign language or gestures. This project is done by using template matching method by Matlab software. Finally, a complete hand signal detection has been successfully develope with the spesific algorithm approach. All the objectives have been successfully achieved.

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