MEMS ACCELEROMETER BASED HAND GESTURE RECOGNITION  

Abstract

This paper presents an MEMS accelerometer mostly based on gesture recognition algorithm and its applications. The hardware module consists of a triaxial mems accelerometer, microcontroller, and zigbee wireless transmission module for sensing and collecting accelerations of handwriting and hand gesture trajectories. Users will use this hardware module to write down digits, alphabets in digital kind by making four hand gestures. The accelerations of hand motions measured by the accelerometer are transmitted wirelessly to a personal computer for trajectory recognition. The trajectory algorithm composed of information assortment collection, signal preprocessing for reconstructing the trajectories to attenuate the cumulative errors caused by drift of sensors. So, by changing the position of MEMS (micro electro mechanical systems) we can able to show the alphabetical characters and numerical within the PC.  

Authors and Affiliations

Meenaakumari. M , M. Muthulakshm

Keywords

Related Articles

Secret Sharing Image Between End Users by using Cryptography Technique 

In this Secret Sharing Image(SSI) we are divide the complete image into n shares distributed to n participants. Only authorized persons access the secret image without any cryptography knowledge and the end use...

Secured Cost Effective Group Handover Authentication Scheme For WiMAX Networks

Technological improvement of Wireless Communication is important aspect of our daily life. Mobile WiMAX IEEE 802.16m standard aims at fulfilling the requirements on 4G Systems. Providing seamless handover authentication...

LEARNING BEHAVIOR OF ANALYSIS OF HIGHER STUDIES USING DATA MINING  

The main concern of providing higher education is to provide quality education to the students and to produce technically qualified professionals. The knowledge is hidden among the educational data set and it i...

Disambiguation of User Queries in Search Engines 

With the increasing number of user queries to search engine. it has become necessary to study the area of Information Retrieval. User always expects to get the most appropriate and relevant results to the query. Bu...

erformance Analysis on Learning Algorithms with various Facial Expressions in Spiking Neural Networks 

This paper is based on different expression classification and facial action recognition performed using human face database. This work aims to classify different facial expressions of the individuals from the st...

Download PDF file
  • EP ID EP115215
  • DOI -
  • Views 108
  • Downloads 0

How To Cite

Meenaakumari. M, M. Muthulakshm (2013). MEMS ACCELEROMETER BASED HAND GESTURE RECOGNITION  . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(5), 1886-1992. https://europub.co.uk/articles/-A-115215