GESTURE HAND RECOGNITION USING COMPUTER VISION

GESTURE HAND RECOGNITION USING COMPUTER VISION

G.AKSHAYA, CH GOKUL VSS, P.VIJAY RITHISH

Mr. Sundaragiri Dheeraj (Guide)

Sreenidhi Institute of Science and Technology

ABSTRACT

The main focus of study in the field of Human Computer Interaction (HCI) in recent years has been on a natural interaction technique. Applications of real-time hand gesture-based recognition have been implemented in many settings where we interface with computers. The detection of hand motions is dependent on a camera. The primary way of engagement involves creating a virtual HCI device using a web camera. In this work, hand motions employed in contemporary vision-based Human Computer Interaction techniques are examined. Comparing the methods' approaches, types of work, use of theoretical justifications, and simulations allowed for the evaluation of each method.

This project is very helpful in a situation where the users cannot use any kinds of input devices or touch them, with the help of gesture recognition one can easily do a specific action needed without having to physically access the input methods for example mouse keypad etc . The user can draw using his index finger and he can use a pointer by using two fingers that is his index finger and middle finger. The user can undo the drawing using three fingers that is index, middle and ring finger. The user can move to next file by using little finger and to the previous file using thumb finger pointing to left.

KEYWORDS

 Hand  Posture,  Hand  Gesture,  Human  Computer  Interaction  (HCI), Segmentation,  Feature  Extraction, Classification Tools, Neural Networks.