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)

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.

• Language: English
• Keywords: gait analysis, inertial measurement units, gait event detection, wearable sensors, wireless sensor network
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2014
• Number of pages: Str. 18800-18822
• Numbering: Vol. 14, iss. 10
• PID: 20.500.12556/RUL-130817
• UDC: 681.586:796.421
• ISSN on article: 1424-8220
• DOI: 10.3390/s141018800
• COBISS.SI-ID: 10809940
• Publication date in RUL: 17.09.2021

Record is a part of a journal

• Title: Sensors
• Shortened title: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• 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

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