Advertisement

Real-time Implementation of Electromyography for Hand Gesture Detection Using Micro Accelerometer

  • Subhendu RoyEmail author
  • Sraboni Ghosh
  • Aratrika Barat
  • Madhurima Chattopadhyay
  • Debjyoti Chowdhury
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 394)

Abstract

This paper focuses on the development of a novel approach for identification of various hand movements of a person that involves actions like fist opening, closing, and arm roll. The system consists of an electromyogram (EMG) sensor coupled with a digital MEMS accelerometer (full scale range of ±2 g, ±4 g, ±8 g, and ±16 g) for detection of hand gestures; this system is mounted over a strip strapped on the limb of its user. Based on the analysis of the EMG signals that are coupled with the MEMS accelerometer data from the limb, innumerous hand gestures are identified. Six-point-based calibration of the accelerometer data is done to eliminate mounting errors. The hand movements involving roll are better identified using this sensor topology, which is based on EMG sensor coupled with MEMS accelerometer than a system which just uses an EMG sensor to find out hand gestures because the accelerometer data gives precise information about the orientation of the limb in three-dimensional spaces.

Keywords

Electromyography Hand gesture recognition MEMS accelerometer Hand gesture Six-point calibration 

References

  1. 1.
    Subasi MY, Ozcalik HR. Classification of EMG signals using wavelet neural network. J Neurosci Methods. 2006;156:360–7.Google Scholar
  2. 2.
    Liu J, Zhong L, Wickramasuriya J, Vasudevan V. uWave—accelerometer-based personalized gesture recognition and its applications. Pervasive Mobile Comput. 2009;5:657–75.Google Scholar
  3. 3.
    Chong MK, Marsden G, Gellersen H. Gesture PIN: using discrete gestures for associating mobile devices. In Proceedings of the 12th international conference human computer interaction mobile devices services; 2010, p. 261–4.Google Scholar
  4. 4.
    Wang J, Chuang F. An accelerometer-based digital pen with a trajectory recognition algorithm for handwritten digit and gesture recognition. IEEE Trans Ind Electron. 2012;59(7):2998–3007.Google Scholar
  5. 5.
    Zhu C, Sheng W. Wearable sensor-based hand gesture and daily activity recognition for robot-assisted living. IEEE Trans Syst Man Cybern A Syst Humans. 2011;41(3):569–573.Google Scholar
  6. 6.
    Saponas TS, Tan DS, Morris D, Balakrishnan R. Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces. In: Proceedings of the SIGCHI Conference Human Factors Computing Systems; 2008, p. 515–24.Google Scholar
  7. 7.
    Lu Z, Chen X, Member, IEEE, Li Q, Zhang X, Member, IEEE, Zhou P, Member, IEEE. A hand gesture recognition framework and wearable gesture-based interaction prototype for mobile devices. IEEE Trans Human-Machine Syst. 2014;44(2):293.Google Scholar
  8. 8.
    Chowdhury D, Banerjee S, Sanyal K, Chattopadhyay M. A real time gesture recognition with wrist mounted accelerometer. Inf Adv Intell Syst Comput. 2015;340:245–53.CrossRefGoogle Scholar
  9. 9.
    Roy SH, Cheng MS, Chang S, Moore J, De Luca G, Nawab SH, Luca JE. Combined SEMG and accelerometer system for monitoring functional activity in stroke. IEEE Trans. Neural Syst Rehabil Eng. 2009;17(6):585–94.Google Scholar
  10. 10.
    Li Y, Chen X, Tian J, Zhang X, Wang K, Yang J. Automatic recognition of sign language subwords based on portable accelerometer and EMG sensors, ICMI-MLMI’10, Beijing; 2010.Google Scholar
  11. 11.
    Fougner A, Member, IEEE, Scheme E, Student Member, IEEE, Chan ADC, Senior Member, IEEE, Englehart ØK, Senior Member, IEEE. Resolving the Limb Position Effect in Myoelectric Pattern Recognition.Google Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  • Subhendu Roy
    • 1
    Email author
  • Sraboni Ghosh
    • 1
  • Aratrika Barat
    • 1
  • Madhurima Chattopadhyay
    • 1
  • Debjyoti Chowdhury
    • 1
  1. 1.Applied Electronics and Instrumentation Engineering DepartmentHeritage Institute of TechnologyKolkataIndia

Personalised recommendations