Data-efficient human walking speed intent identification
Taylor M. Higgins,
Kaitlyn J. Bresingham,
James P. Schmiedeler
et al.
Abstract:The ability to accurately identify human gait intent is a challenge relevant to the success of many applications in robotics, including, but not limited to, assistive devices. Most existing intent identification approaches, however, are either sensor-specific or use a pattern-recognition approach that requires large amounts of training data. This paper introduces a real-time walking speed intent identification algorithm based on the Mahalanobis distance that requires minimal training data. This data efficiency… Show more
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