196 citations · 322 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2016★ 126 cited
Stride Length Estimation with Deep Learning
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta +5
Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodologic…