20.500.12556/RUL-130817 Toward real-time automated detection of turns during gait using wearable inertial measurement units 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. gait analysis inertial measurement units gait event detection wearable sensors wireless sensor network analiza hoje inercialne merilne enote detekcija dogodkov hoje prenosljivi senzorji mreža brezžičnih senzorjev true false true Angleški jezik Slovenski jezik Članek v reviji 2021-09-17 13:14:47 2021-09-17 13:14:49 2022-09-09 04:18:10 0000-00-00 00:00:00 2014 0 0 Str. 18800-18822 iss. 10 Vol. 14 Oct. 2014 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 681.586:796.421 1424-8220 10.3390/s141018800 10809940 RAZ_Novak_Domen_2014.pdf RAZ_Novak_Domen_2014.pdf 1 454E0563C207066FCE3BA794AAE3CA01 454afb63fb7915803bd0d00d6a84299520999f17cf57a81bc3cae11f3f793bb3 c9524972-17a8-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=147987 http://www.mdpi.com/1424-8220/14/10/18800 1 36928a66-17a8-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=147986 Fakulteta za elektrotehniko 0 0 0