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Determination of gait parameters in real‐world environment using low‐cost inertial sensors
Author(s) -
Mundt Marion,
Thomsen Wolf,
Bamer Franz,
Makert Bernd
Publication year - 2018
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201800014
Subject(s) - stride , gait , dynamic time warping , inertial measurement unit , computer science , segmentation , artificial intelligence , computer vision , inertial frame of reference , effect of gait parameters on energetic cost , motion (physics) , physical medicine and rehabilitation , simulation , gait analysis , medicine , computer security , physics , quantum mechanics
The ageing society causes an increasing need for gait monitoring in daily life to preserve the mobility of older people. Therefore, flexible low‐cost and easy‐to‐apply sensor networks are necessary. This study evaluates two in‐house developed inertial sensors for their capability of detecting spatial and temporal parameters of gait by using a time‐warping algorithm for stride segmentation. Thereby, impaired or wheeled walker supported gait can be analysed using a patient specific template. The results prove the capability to exclude sequences from the motion that do not correspond to strides and to detect spatio‐temporal parameters reliably. For the application to geriatric patients, however, further research is necessary.