AI Article Synopsis
- This study introduces a new virtual inverted pendulum model for estimating human walking speed using wearable accelerometers.
- The model combines features from both biped and inverted pendulum models to allow effective speed estimation based on body acceleration, requiring only a single tri-axial accelerometer worn on the waist.
- Experimental findings demonstrate high accuracy, with a mean absolute error of 0.58% and a deviation of 0.72%, outperforming previous studies that placed accelerometers on the upper body.
Article Abstract
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 characteristics of both the biped rolling-foot and the inverted pendulum model, but also makes the speed estimation feasible using human body acceleration. Rather than using statistical methods, the proposed kinematic walking model enables calibration of the parameters during walking using only one tri-axial accelerometer on the waist that collects the user's body acceleration. In addition, this model also includes the effect of rotation of the waist within a walking cycle, which improves the estimation accuracy. Experimental results for a group of humans show a 0.58% absolute error mean and 0.72% error deviation, which is far better than the results of other known studies with accelerometers mounted on the upper body.
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| http://dx.doi.org/10.1109/TBME.2013.2252345 | DOI Listing |
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