Advertisement

Remote Hand Motion Detection and Monitoring with Noise Reduction

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 170)

Abstract

The digital triaxial accelerometer has become more and more popular in the research and industrial world due to its small size, low power consumption, low cost and its sensing capability in the x, y and z-axis directions. This paper presents several noise reduction schemes for hand motion detection with the triaxial digital accelerometer ADXL345 by using the RCM3365 board as the web server for control and also for data monitoring.

Keywords

Digital accelerometer Hand motion Kalman filter Median filter Moving average filter Noise reduction Output data rate Remote data monitoring Web server 

References

  1. 1.
    Analog Devices Inc., 3-Axis, ±2 g/±4 g/±8 g/±16 g Digital Accelerometer ADXL345, Product Datasheet, Norwood, MA (2011)Google Scholar
  2. 2.
    Digi International Inc., RabbitCore RCM3365/RCM3375 C-Programmable Core Module with NAND Flash Mass Storage and Ethernet, Product Manual, Minnetonka, MN (2008)Google Scholar
  3. 3.
    Arce GR (2005) Nonlinear signal processing: a statistical approach. Wiley, New JerseyGoogle Scholar
  4. 4.
    Demosthenous P, Nicolaou N, Georgiou J (2010) A hardware-efficient lowpass filter design for biomedical applications. 2010 IEEE biomedical circuits and systems conference, pp 130–133Google Scholar
  5. 5.
    Zhao Y, Yang Y, Kyas M (2011) Comparing centralized Kalman Filter schemes for indoor positioning in wireless sensor network. International conference on indoor positioning and indoor navigation, 2011, pp 1–10Google Scholar
  6. 6.
    Pang J, Singh I (2011) Accelerometer based real-time remote detection and monitoring of hand motion. Lecture notes in engineering and computer science: proceedings of the world congress on engineering and computer science 2011, WCECS 2011, vol II, 19–21 Oct 2011, San Francisco, USA, pp 744–747. http://www.iaeng.org/publication/WCECS2011/WCECS2011_pp744-747.pdf
  7. 7.
    Kalman RE (1960) A new approach to linear filtering and prediction problems 1. Trans ASME J Basic Eng 82(Series D):35–45Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Electrical and Electronic Engineering, Computer Engineering ProgramCalifornia State UniversitySacramentoUSA

Personalised recommendations