Adapting magnetic resonant coupling based relative positioning technology for wearable activitiy recogniton

Gerald Pirkl, Karl Stockinger, Kai Steven Kunze, Paul Lukowicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)

Abstract

We demonstrate how modulated magnetic field technology that is well established in high precision, stationary motion tracking systems can be adapted to wearable activity recognition. To this end we describe the design and implementation of a cheap (components cost about 20 Euro for the transmitter and 15 Euro for the receiver), low power (17mA for the transmitter and 40mA for the receiver), and easily wearable (the main size constraint are the coils which are about 25mm3) system for tracking the relative position and orientation of body parts. We evaluate our system on two recognition tasks. On a set of 6 subtle nutrition related gestures it achieves 99.25% recognition rate compared to 94.1% for a XSense inertial device ( operated calibrated, euler angle mode). On the recognition of 8 Tai Chi moves it reaches 94 % compared to 86% of an accelerometer. Combining our sensor with the accelerometer leads to 100% correct recognition (as compared to 90% when combining the accelerometer with a gyro)

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Symposium on Wearable Computers, ISWC 2008
Pages47-54
Number of pages8
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event12th IEEE International Symposium on Wearable Computers, ISWC 2008 - Pittsburgh, PA, United States
Duration: 2008 Sep 282008 Oct 1

Other

Other12th IEEE International Symposium on Wearable Computers, ISWC 2008
CountryUnited States
CityPittsburgh, PA
Period08/9/2808/10/1

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Pirkl, G., Stockinger, K., Kunze, K. S., & Lukowicz, P. (2008). Adapting magnetic resonant coupling based relative positioning technology for wearable activitiy recogniton. In Proceedings - 12th IEEE International Symposium on Wearable Computers, ISWC 2008 (pp. 47-54). [4911584] https://doi.org/10.1109/ISWC.2008.4911584