Toward real-time automated detection of turns during gait using wearable inertial measurement units
Novak, Domen (Author), Goršič, Maja (Author), Podobnik, Janez (Author), Munih, Marko (Author)

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Previous studies have presented algorithms for detection of turns during gait using wearable sensors, but those algorithms were not built for real-time use. This paper therefore investigates the optimal approach for real-time detection of planned turns during gait using wearable inertial measurement units. Several different sensor positions (head, back and legs) and three different detection criteria (orientation, angular velocity and both) are compared with regard to their ability to correctly detect turn onset. Furthermore, the different sensor positions are compared with regard to their ability to predict the turn direction and amplitude. The evaluation was performed on ten healthy subjects who performed left/right turns at three amplitudes (22, 45 and 90 degrees). Results showed that turn onset can be most accurately detected with sensors on the back and using a combination of orientation and angular velocity. The same setup also gives the best prediction of turn direction and amplitude. Preliminary measurements with a single amputee were also performed and highlighted important differences such as slower turning that need to be taken into account.

Keywords:gait analysis, inertial measurement units, gait event detection, wearable sensors, wireless sensor network
Work type:Article (dk_c)
Tipology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Number of pages:Str. 18800-18822
Numbering:Vol. 14, iss. 10
ISSN on article:1424-8220
DOI:10.3390/s141018800 This link opens in a new window
COBISS.SI-ID:10809940 This link opens in a new window
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Record is a part of a journal

Shortened title:Sensors
COBISS.SI-ID:10176278 This link opens in a new window

Document is financed by a project

Funder:EC - European Commission
Funding Programme:FP7
Project no.:287894
Name:The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0228
Name:Analiza in sinteza gibanja pri človeku in stroju

Funder:SNSF - Swiss National Science Foundation


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:11.10.2014

Secondary language

Keywords:analiza hoje, inercialne merilne enote, detekcija dogodkov hoje, prenosljivi senzorji, mreža brezžičnih senzorjev

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