A survey on hand gesture recognition for simple mouse control

Author

Suriya, R. ; Vijayachamundeeswari, V.

fYear

2014

fDate

27-28 Feb. 2014

Firstpage

1

Lastpage

5

Abstract

Hand Gesture recognition is the upcoming technology for Human-computer interaction and many research works are carried out in this direction to facilitate and improvise “Interaction with Computer”. It enables human being to interact in a natural way with ease and convenience without wearing any additional device. It can be applied for various applications like sign language recognition, robot control, virtual reality and intelligent home systems. In this paper we are discussing work done in the area of hand gesture recognition using various methods like Hidden Markov Model, simple mouse control and MEMS accelerometer. We have described hand detection methods in the preprocessed image for detecting the hand image, which is a key process in gesture recognition.

Keywords

gesture recognition; human computer interaction; mouse controllers (computers); object detection; MEMS accelerometer; hand detection methods; hand gesture recognition; hidden Markov model; human-computer interaction; image preprocessing; mouse control; Acceleration; Feature extraction; Gesture recognition; Hidden Markov models; Mice; Skin; Thumb; Hand Gestures; Hidden Markov Model; Histogram analysis of skin pixels; MEMS accelerometer; preprocessing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Communication and Embedded Systems (ICICES), 2014 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-3835-3

Type

conf

DOI

10.1109/ICICES.2014.7033762

Filename

7033762