WIRELESS SENSOR PHYSICAL ACTIVITY BASED ON LOW-POWER PROCESSOR

Rafał Borowiec

raff@onet.pl
Politechnika Lubelska, Instytut Elektroniki i Technik Informacyjnych (Poland)

Wojciech Surtel


Politechnika Lubelska, Instytut Elektroniki i Technik Informacyjnych (Poland)

Abstract

In this article the authors review the state of the art modern equipment used to measure the physical activity of man. In addition, they represent a unique project built wireless sensor human activity which is a response to the perceived shortcomings of the prior art. The article includes criteria for selecting the microcontroller and accelerometer, gyroscope and magnetometer. In order to present operation is given waveforms recorded while standing stationary and moving. In addition, presents selected statistical values of the recorded for the timing parameters.


Keywords:

acceleration sensor, gyroscope, microcontroller

Bajcsy R., Chen J., Kwong K., Chang D., Luk J.: Fall detection using wireless sensor networks, 27th Annual International Conference of the EMBS, 2005.
  Google Scholar

Crouter S. E., Schneider P. L., Karabulut M., Bassett Jr.: Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med. Sci. Sports Exerc., 35, 2003, 1455–1460.
  Google Scholar

Esser P., Dawes H., Collett J., Howells K.: IMU: Inertial sensing of vertical CoM movement, Journal of Biomechanics 42, 2009, 1578–1581.
  Google Scholar

Jovanov E., Price J., Raskovic D., Kavi K., Martin T., Adhami R.: Wireless Personal Area Networks in Telemedical Environment, Proceedings of the Third International Conference on Information technology in Biomedicine (ITAB-ITIS2000), Arlington, 2000, 22–27.
  Google Scholar

Maciejewski M., Surtel W., Wójcik W., Masiak J., Dzida G., Horoch A.: Telemedical systems for home monitoring of patients with chronic conditions in rural environment, Annals of Agricultural and Environmental Medicine, Vol. 21, No 1, 2014, 167–173.
  Google Scholar

Mathie M. J., Celler B. G.: A System For Monitoring Posture And Physical Activity Using Accelerometers, Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001, 3654–3657.
  Google Scholar

Mayagoitia R. E, Nene., A.V., et al.: Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems. J. Biomech. 35 (4), 2002, 537–542.
  Google Scholar

Wong W., Wong M., et al.: Clinical applications of sensors for human posture and movement analysis: a review. Prosthet. Orthot. Int. 31 (1), 2007, 62–75.
  Google Scholar

http://www.cq.com.pl/cqmotion.htm [22.06.2015]
  Google Scholar

http://www.pololu.com/file/0J563/L3GD20.pdf [22.06.2015]
  Google Scholar

http://www.st.com/web/en/resource/technical/document/datasheet DM00027543.pdf [22.06.2015]
  Google Scholar

http://www.ti.com/lsds/ti/microcontrollers_16-bit_32-bit/msp/ultra-low_power/msp430f2x_msp430f4x/tech_docs.page [22.06.2015]
  Google Scholar


Published
2015-10-28

Cited by

Borowiec, R., & Surtel, W. (2015). WIRELESS SENSOR PHYSICAL ACTIVITY BASED ON LOW-POWER PROCESSOR. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(4), 26–31. https://doi.org/10.5604/20830157.1176570

Authors

Rafał Borowiec 
raff@onet.pl
Politechnika Lubelska, Instytut Elektroniki i Technik Informacyjnych Poland

Authors

Wojciech Surtel 

Politechnika Lubelska, Instytut Elektroniki i Technik Informacyjnych Poland

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