Title :
A survey on hand gesture recognition for simple mouse control
Author :
Suriya, R. ; Vijayachamundeeswari, V.
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;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
DOI :
10.1109/ICICES.2014.7033762
