A Gesture-Based Control for Handheld Devices Using Accelerometer

  • Ikjin Jang
  • Wonbae Park
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)


The current paper presents how the signals from an accelerometer can be processed to accurately recognize user gestures after applying a small accelerometer to a handheld device. For gesture-based control to be effective in handheld devices, the overheads involved in recognizing gestures should be minimal and the gestures accurately recognized in real operational environments. Therefore, the signals detected from accelerometers were classified into acceleration and dynamic acceleration, then the signal patterns of the accelerometers in relation to simple gestures were analyzed. A device control module was created and its operating process compared to that of a normal control device to evaluate the usability of gesture recognition. As a result, gesture-based control was found to be easy to use, reduced the preparation process, a produced a rapid system reaction. Accordingly, gesture-based control would seem to be an effective user interface for handheld devices primarily used in mobile environments.


  1. 1.
    Bartlett, J.F.: Rock ‘n’ Scroll Is Here to Stay. IEEE Computer Graphics and Applications (2000)Google Scholar
  2. 2.
    Analog Devices, ADXL202E: Low-Cost?2g Dual-Axis Accelerometer With Duty Cycle Output Data Sheet (Rev. A, 10/00),
  3. 3.
    Ehreumann, M., Lutticke, T., Dillmann, R.: Dynamic gestures as an input device for directing a mobile platform. Robotics and Automation (2001); IEEE International Conference on Proceedings 2001 ICRA. vol. 3, pp. 2596–2601 (2001)Google Scholar
  4. 4.
    Hinckley., K., Pierce., J., Sinclair., M., Horvitz, E.: Sensing techniques for mobile interaction. CHI Letters 2, 91–100 (2000)Google Scholar
  5. 5.
    Mantyla, V.-M., Mantyjarvi, J., Seppanen, T., Tuulari, E.: Hand gesture recognition of a mobile device user. In: ICME 2000. 2000 IEEE International Conference on Multimedia and Expo, vol. 1, pp. 281–284 (2000)Google Scholar
  6. 6.
    Matthieu, B., Hedvig, S., Jan-Olof, E.: Recognition of gestures in the context of speech. Pattern Recognition 1, 356–359 (2002)Google Scholar
  7. 7.
    Milner, B.: Handwriting recognition using acceleration-based motion detection. IEE Colloquium on Document Image Processing and Multimedia (1999)Google Scholar
  8. 8.
    Perng, J.K., Fisher, B., Hollar, S., Pister, K.S.J.: Acceleration sensing glove(ASG). In: The Third International Symposium on Wearable Computers, pp. 178–180 (1999)Google Scholar
  9. 9.
    Randell, C., Muller, H.: Context awareness by analyzing accelerometer data. In: The Fourth International Symposium on Wearable Computers (ISWC 2000), pp. 175–176 (2000)Google Scholar
  10. 10.
    Sawada, H., Hata, S., Hashimoto, S.: Gesture recognition for human-friendly interface in designer-consumer cooperate design system. In: Robot and Human Interaction, 1999. 8th IEEE International Workshop on ROMAN 1999, pp. 400–405 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Ikjin Jang
    • 1
  • Wonbae Park
    • 1
  1. 1.Dept. of Information & CommunicationKyungpook National UniversityDaeguRepublic of Korea

Personalised recommendations