Benchmark datasets for bilateral lower limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals

This dataset, the <b>EN</b>cyclopedia of <b>A</b>ble-bodied <b>B</b>ilateral <b>L</b>ower <b>L</b>imb <b>L</b>ocomotor <b>S</b>ignals <b>(ENABL3S)</b>,<b> </b>represents a benchmark for lower limb neuromechanical signals recorded using wearable sensors from 10 able-bodied individuals during unassisted locomotion. In addition to sitting and standing, subjects freely transitioned between level ground walking, ramp ascent/descent, and stair ascent/descent at their self-selected speed. Subjects were bilaterally instrumented with surface electromyography (EMG) from seven lower limb muscles, goniometers at the knee and ankle, and inertial measurement units (IMU) at the shank, thigh. An additional IMU was worn around the waist. Features commonly used in lower limb intent recognition for prosthesis control have been extracted from windows near heel contact and toe off gait events.<br>If you use this dataset, please cite as:Hu, B., Rouse, E. and Hargrove, L. (2018). Benchmark Datasets for Bilateral Lower-Limb Neuromechanical Signals from Wearable Sensors during Unassisted Locomotion in Able-Bodied Individuals. Frontiers in Robotics and AI 5:14.