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

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

Abstract

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

analiza hoje;inercialne merilne enote;detekcija dogodkov hoje;prenosljivi senzorji;mreža brezžičnih senzorjev;gait analysis;inertial measurement units;gait event detection;wearable sensors;wireless sensor network;

Data

Language:	English
Year of publishing:	2014
Typology:	1.01 - Original Scientific Article
Organization:	UL FE - Faculty of Electrical Engineering
UDC:	681.586:796.421
COBISS:	10809940
ISSN:	1424-8220
Views:	175
Downloads:	62
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	analiza hoje;inercialne merilne enote;detekcija dogodkov hoje;prenosljivi senzorji;mreža brezžičnih senzorjev;
Type (COBISS):	Article
Pages:	str. 18800-18822
Volume:	ǂVol. ǂ14
Issue:	ǂno. ǂ10
Chronology:	Oct. 2014
DOI:	10.3390/s141018800
ID:	13470106