Utility of Interface Technology for Conversion of Hand Gestures to Digital Display – Voice Converter
Surabhi Chetia1, T. S. Muralidhar2, Pedenla Lama3, Juganta Das4
1Surabhi Chetia, Department of Biomedical Engineering, SRM University, Kattankulathur Campus, Chennai -603203, India.
2Dr. T. S. Muralidhar, Professor, P.G. Department of Biotechnology, R&D Center, Dayananda Sagar College of Biological Sciences, Kumaraswamy Layout, Bangalore-560078, India.
3Pedenla Lama, M.Sc. Department of Biotechnology, R&D Center, Dayananda Sagar College of Biological Sciences, Kumaraswamy Layout, Bangalore-560078, India.
4Juganta Das, M.Sc. Department of Biotechnology. R&D Center, Dayananda Sagar College of Biological Sciences, Kumaraswamy Layout, Bangalore-560078, India.
Manuscript received on 30 January 2015 | Revised Manuscript received on 12 February 2015 | Manuscript Published on 28 February 2015 | PP: 52-56 | Volume-4 Issue-9, February 2015 | Retrieval Number: I1976024915/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The increase in human-machine interactions in our daily lives has made user interface technology progressively more important. Physical gestures as intuitive expressions will greatly ease the interaction process and enable humans to more naturally command computers or machines. Many kinds of existing devices can capture gestures, such as a “Wiimote,” joystick, trackball and touch tablet. Some of them can also be employed to provide input to a gesture recognizer. But sometimes, the technology employed for capturing gestures can be relatively expensive, such as a vision system. In the proposed system, accelerometer based gesture recognition technique is used. The proposed system uses 3-Axes MEMS accelerometer with PIC16F877A Microcontroller. The accelerations of a hand in motion in three perpendicular directions are detected by three axes accelerometers respectively and based on the hand gestures appropriate voices are played through APR Voice which is also interfaced with the microcontroller. Objective of the project work to develop a device for conversion of sign language to suitable text and speech as output. Index Terms —
Keywords: Interface Tchnology, Physical gestures, APR Voice, 3-Axes MEMS accelerometer, PIC16F877A Microcontroller
Scope of the Article: Microcontroller