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Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 6)

Publication Date:

Authors : ; ; ;

Page : 560-566

Keywords : Firing Angle; Feature Extraction; Gesture Recognition; Image Processing Techniques; Segmentation;

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For increasing/decreasing the ceiling fan speed or for switching the lights ON/OFF mostly we need to get up and move towards the switch board. But the ones who are physically impaired, it’s difficult for them to do so. This system is targeted mainly to he lp people who are physically impaired& unable to operate the switch board easily for controlling the ceiling fan speed & turning the lights ON/OFF. It’s also possible to control these electronic equipment with the help of wireless technique like remote con trol. But the problem here is, due to different physical shapes of device and a variety of functional commands that each remote control features gives rise to numerous problems: the required remote control locating difficulties, the button layout confusion , the device replacement issue and so on. The proposed model for AC motor speed control of ceiling fan based on image processing is a recent innovative user interface that resolves the complications of using numerous remote controls for domestic appliances . Using one unified set of hand gestures, this system can interpret the hand gestures of user into pre - defined commands to control one or multiple devices at the same time. The experimental results are highly encouraging as the system is able to produces r eal - time responses and accurate recognition towards various set of gestures to perform the respective task.

Last modified: 2015-07-11 23:23:47