ETHOS: miniature orientation sensor for wearable human motion analysis

H. Harms, O.D. Amft, R. Winkler, J. Schumm, M. Kusserow, G. Tröster

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

56 Citations (Scopus)
372 Downloads (Pure)

Abstract

Inertial and magnetic sensors offers a sourceless and mobile option to obtain body posture and motion for personal sports or healthcare assistants, if sensors could be unobtrusively integrated in casual garments and accessories. We present in this paper design, implementation, and evaluation results for a novel miniature attitude and heading reference system (AHRS) named ETHOS using current off-the-shelf technologies. ETHOS has a unit size of 2.5cm$^3$, which is substantially below most currently marketed attitude heading reference systems, while the unit contains processing resources to estimate its orientation online. Results on power consumption in relation to sampling frequency and sensor use are presented. Moreover two sensor fusion algorithms to estimate orientation: a quaternion-based Kalman-, and a complementary filter. Evaluations of orientation estimation accuracy in static and dynamic conditions revealed that complementary filtering reached sufficient accuracy while consuming 46% of a Kalman's power. The system runtime of ETHOS was found to be 10 hours at a complementary filter update rate of 128Hz. Furthermore, we found that a ETHOS prototype functioned with a sufficient accuracy in estimating human movement in real-life conditions using an arm rehabilitation robot.
Original languageEnglish
Title of host publicationProceedings of the 2010 IEEE Sensors Conference, 1-4 November 2011
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1037-1042
ISBN (Print)978-1-4244-8170-5
DOIs
Publication statusPublished - 2010

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