most citedSensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks

196 citations · 196 across the 1 of their papers we have counts for

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1 paper

cs.LG2016★ 196 cited

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta +3

Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract the…