A model-based human walking speed estimation using body acceleration data

This study aims at estimating the human walking speed using wearable accelerometers by proposing a novel virtual inverted pendulum model. This model not only keeps the important characteristic in biped rolling-foot model, but also makes the speed estimation feasible using human body acceleration. Ra...

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Bibliographic Details
Main Authors: Jwu-Sheng Hu, Kuan-Chun Sun, Chi-Yuan Cheng
Format: Conference Proceeding
Language:English
Subjects:
gait
inertia sensor
kinematic walking model
walking speed
wearable sensor
Online Access:Request full text
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Summary:This study aims at estimating the human walking speed using wearable accelerometers by proposing a novel virtual inverted pendulum model. This model not only keeps the important characteristic in biped rolling-foot model, but also makes the speed estimation feasible using human body acceleration. Rather than the statistical methods, the proposed kinematic walking model enables calibration of the parameters during walking using only one tri-axial accelerometer on waist that reflects the user's inertia information during walking. In addition, this model also includes the effect of rotation of waist within a walking cycle that improves the estimation accuracy. Experimental results on a group of humans show a 1.22% error mean and 2.78% deviation, which is far better than other known studies.
DOI:10.1109/ROBIO.2012.6491259