Engineering

Ecology

Aerospace engineering

Biology

Statistics

Biomechanics

Embedded system

Set (abstract data type)

Civil engineering

Computer science

Classical mechanics

Physiology

Gait

Physics

Simulation

Descent (aeronautics)

Mathematics

Wearable computer

Stairs

Kinematics

Medicine

Programming language

Physical medicine and rehabilitation

Terrain

Flexibility (engineering)

Gait analysis

Ground reaction force

Journal of Biomechanics

We introduce a novel dataset containing 3-dimensional biomechanical and wearable sensor data from 22 able-bodied adults for multiple locomotion modes (level-ground/treadmill walking, stair ascent/descent, and ramp ascent/descent) and multiple terrain conditions of each mode (walking speed, stair height, and ramp inclination). In this paper, we present the data collection methods, explain the structure of the open dataset, and report the sensor data along with the kinematic and kinetic profiles of joint biomechanics as a function of the gait phase. This dataset offers a comprehensive source of locomotion information for the same set of subjects to motivate applications in locomotion recognition, developments in robotic assistive devices, and improvement of biomimetic controllers that better adapt to terrain conditions. With such a dataset, models for these applications can be either subject-dependent or subject-independent, allowing greater flexibility for researchers to advance the field.

A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions