Two-Dimensional Deep Convolutional Neural Networks for Estimating Stride Length and Velocity in Institutionalized Older Adults

Extracting stride length and velocity from wearable sensors is traditionally based on the double integration of accelerometer data with zero-velocity update (ZUPT) technique. However, this approach might not be suitable for institutionalized older adults, whose clear zero-velocity phase cannot be de...

Ausführliche Beschreibung