Toward real-time automated detection of turns during gait using wearable inertial measurement units

Novak, Domen (avtor), Goršič, Maja (avtor), Podobnik, Janez (avtor), Munih, Marko (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: gait analysis, inertial measurement units, gait event detection, wearable sensors, wireless sensor network
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2014
• Št. strani: Str. 18800-18822
• Številčenje: Vol. 14, iss. 10
• PID: 20.500.12556/RUL-130817
• UDK: 681.586:796.421
• ISSN pri članku: 1424-8220
• DOI: 10.3390/s141018800
• COBISS.SI-ID: 10809940
• Datum objave v RUL: 17.09.2021

Gradivo je del revije

• Naslov: Sensors
• Skrajšan naslov: Sensors
• Založnik: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 11.10.2014

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: analiza hoje, inercialne merilne enote, detekcija dogodkov hoje, prenosljivi senzorji, mreža brezžičnih senzorjev