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

Related Articles

Design and Analysis of Archimedes Wind Turbine

wind energy is relatively mature technology with enormous potential for commercial. With high efficient, solid and reliable wind turbine, wind power offers a solution to meet energy needs and environmental care. This is...

slugComparison between the best online suites

The battle to be the best online suite in the cloud has never been more hotly contested. It’s not as straightforward as it seems either. This paper gives the introduction to Office Software Suite, core feature, cloud i...

slugIntelligent Traction System

A new kind of approaches are exhibited to ensure the railway safety and thereby assuring a secured travel. This project mainly performs the detection of faults that occurs due to cracks on tracks, obstacle and explosive...

Phytochemical Screening and Antibacterial Activity of the Pilasthiri Kalimbu Prescribed to Cure Wound by the Traditional Siddha Practitioner of Kanyakumari District, India

The polyherbal formulation of the Siddha Kalimbu comprised of 15 traditionally used herbs explore for the treatment of wound. The present investigation was mainly focused on the scientific assessment of phytochemical an...

Automatic Tablet Filler Using PLC

The project entitled “Automatic tablet filler using PLC” is an automating tablet filling processes in pharmaceutical companies. It differs from present tablet filling machines used in the industries in various aspects s...

Download PDF file
  • EP ID EP23628
  • DOI http://doi.org/10.22214/ijraset.2017.3168
  • Views 298
  • 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