Corpus ID: 52423812

HAND GESTURE RECOGNITION USING MEMS FOR SPECIALLY CHALLENGED PEOPLE

@inproceedings{Swetha2014HANDGR,
  title={HAND GESTURE RECOGNITION USING MEMS FOR SPECIALLY CHALLENGED PEOPLE},
  author={J. Swetha and Maruthi Rao},
  year={2014}
}
This paper presents three different gesture recognition models which are capable of recognizing seven hand gestures, i.e., up, down, left, right, tick, circle and cross, based on the input signals from MEMS 3-axes accelerometers. The accelerations of a hand in motion in three perpendicular directions are detected by three accelerometers respectively and transmitted to a PC via Bluetooth wireless protocol. An automatic gesture segmentation algorithm is developed to identify individual gestures… Expand

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