Mems Based Hand Gesture Recognition of Physically Disabled People

Abstract

Now days it is very complicated to monitor patients health every hour. This is very helpful and useful for monitoring more number of people at a time. It was very low cost and effective. In this project microcontroller consists of GSM modem and analog, digital sensors and MEMS. With the help of sensors microcontroller detects patient’s heath parameters like Temperature, Heart beat ……etc., here we use ADC0804/08 for analog sensors, and digital sensors are connected directly to I/O ports of microcontroller. Microcontroller takes the information of sensors and sends the data through GSM.MEMS is used to indicate the emergency conditions by patients like left and right movements. An automatic gesture recognition algorithm is developed to identify individual gestures in a sequence. As a final point, the gesture is recognized by comparing the acceleration values with the stored templates. According to recognized gesture, respective commands displayed on LCD.

Authors and Affiliations

V. Sohini, S. Tejaswani, T. SriVidhya, Chandra Sekhar, C. Siva krishna

Keywords

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  • EP ID EP23628
  • DOI http://doi.org/10.22214/ijraset.2017.3168
  • Views 285
  • Downloads 5

How To Cite

V. Sohini, S. Tejaswani, T. SriVidhya, Chandra Sekhar, C. Siva krishna (2017). Mems Based Hand Gesture Recognition of Physically Disabled People. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(3), -. https://europub.co.uk/articles/-A-23628