Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware

2013 ◽  
Vol 74 (8) ◽  
pp. 2687-2715 ◽  
Author(s):  
Hui-Shyong Yeo ◽  
Byung-Gook Lee ◽  
Hyotaek Lim
Author(s):  
Smit Parikh ◽  
Srikar Banka ◽  
Isha Lautrey ◽  
Isha Gupta ◽  
Prof Dhanalekshmi Yedurkar

The use of a physical controller such as a mouse, a keyboard for human computer interaction hinders the natural interface since the user and computer have a high barrier. Our aim is to create an application that controls some basic features of computers using hand gestures through an integrated webcam to resolve this issue. A Hand Gesture Recognition system detects gestures and translates them into specific actions to make our work easier. This can be pursued using OpenCV to capture the gestures which will be interfaced using Django, React.Js and Electron. An algorithm named YOLO is used to train the system accordingly. The gestures will get saved inside the DBMS. The main result expected is that the user will be able to control the basic functions of the system using his/her hand gestures and hence providing them utmost comfort.


2019 ◽  
Vol 79 (9-10) ◽  
pp. 5989-6007 ◽  
Author(s):  
Tsung-Han Tsai ◽  
Chih-Chi Huang ◽  
Kung-Long Zhang

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