Improved method of step length estimation based on inverted pendulum model.
Int J Distrib Sens Netw
; 13(4)2017 Apr.
Article
em En
| MEDLINE
| ID: mdl-29910697
ABSTRACT
Step length estimation is an important issue in areas such as gait analysis, sport training, or pedestrian localization. In this article, we estimate the step length of walking using a waist-worn wearable computer named eButton. Motion sensors within this device are used to record body movement from the trunk instead of extremities. Two signal-processing techniques are applied to our algorithm design. The direction cosine matrix transforms vertical acceleration from the device coordinates to the topocentric coordinates. The empirical mode decomposition is used to remove the zero- and first-order skew effects resulting from an integration process. Our experimental results show that our algorithm performs well in step length estimation. The effectiveness of the direction cosine matrix algorithm is improved from 1.69% to 3.56% while the walking speed increased.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Int J Distrib Sens Netw
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
China