On the use of magnetic field disturbances as features for activity recognition with on body sensors

Gernot Bahle, Kai Kunze, Paul Lukowicz

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

5 Citations (Scopus)

Abstract

We investigate the use of magnetic field disturbances as features for motion based, wearable activity recognition systems. Such disturbances are mostly caused by large metallic objects and electrical appliances, both of which are often involved in human activities. We propose to detect them by subtracting angular velocity values computed from the changes in the magnetic field vector from gyroscope signals. We argue that for activities that are associated with specific objects or devices such features increase system robustness against motion variations, sensor displacement and inter user differences. On a previously published data set of 8 gym exercises we demonstrate that our approach can improve the recognition by up to 31% over gyroscope only and up to 17% over a combination of a gyroscope and 3D accelerometer. Improvements of 9.5% are also demonstrated for user independent training as well as for the case of displaced sensors. A particularly interesting result is the fact that adding the magnetic disturbance features significantly improves recognition based on the vector norm of accelerometers and gyroscopes. The norm is often used when the orientation of the sensor is not known. This is common when using a mobile phone or other consumer appliance as a sensor.

Original languageEnglish
Title of host publicationSmart Sensing and Context - 5th European Conference, EuroSSC 2010, Proceedings
Pages71-81
Number of pages11
DOIs
Publication statusPublished - 2010 Dec 28
Externally publishedYes
Event5th European Conference on Smart Sensing and Context, EuroSSC 2010 - Passau, Germany
Duration: 2010 Nov 142010 Nov 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6446 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th European Conference on Smart Sensing and Context, EuroSSC 2010
CountryGermany
CityPassau
Period10/11/1410/11/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Bahle, G., Kunze, K., & Lukowicz, P. (2010). On the use of magnetic field disturbances as features for activity recognition with on body sensors. In Smart Sensing and Context - 5th European Conference, EuroSSC 2010, Proceedings (pp. 71-81). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6446 LNCS). https://doi.org/10.1007/978-3-642-16982-3_6