This paper is published in Volume-3, Issue-2, 2017
Area
Embedded Systems
Author
Kunal R. Jambhulkar
Org/Univ
Nagpur Institute of Technology, India
Keywords
Gesture Recognition, MEMS, Teensy, Accelerometer
Citations
IEEE
Kunal R. Jambhulkar. MEMS Sensor Based Approach for Gesture Recognition to Control Media in Computer, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kunal R. Jambhulkar (2017). MEMS Sensor Based Approach for Gesture Recognition to Control Media in Computer. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.
MLA
Kunal R. Jambhulkar. "MEMS Sensor Based Approach for Gesture Recognition to Control Media in Computer." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.
Kunal R. Jambhulkar. MEMS Sensor Based Approach for Gesture Recognition to Control Media in Computer, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kunal R. Jambhulkar (2017). MEMS Sensor Based Approach for Gesture Recognition to Control Media in Computer. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.
MLA
Kunal R. Jambhulkar. "MEMS Sensor Based Approach for Gesture Recognition to Control Media in Computer." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.
Abstract
Gesture Recognition is the method of identifying and understanding meaningful movements of the arms, hands, face, or sometimes head. It is one of the most important aspects in the field of Human-Computer interface. There has been a continuous research in this field because of its ability for application in user interfaces. Gesture Recognition is one of the important areas of research for engineers and scientists. Nowadays the industry is working on the different implementation for the trouble free, natural and easy product which can be easy to handle. This paper proposed a method to work with motion sensors and interpret the motion of hand into various applications in a virtual interface. The Micro-Electro-Mechanical Systems (MEMS) accelerometers are used to capture the dynamic hand gesture. these sensors information is transferred to the microcontroller from where these data are transferred wirelessly to the computer system for actual processing of the data with the use of various algorithms.