Resources


Database Open Access

A multi-camera and multimodal dataset for posture and gait analysis

Manuel Palermo, João Mendes Lopes, João André, et al.

Multimodal dataset with 166k samples for vision-based applications with a smart walker used in gait and posture rehabilitation. It is equipped with a pair of Depth cameras with data synchronized with an inertial MoCap system worn by the participant.

computer vision inertial motion capture smart walker gait and posture analysis depth rehabilitation human pose estimation deep learning

Published: Nov. 1, 2021. Version: 1.0.0

Database Open Access

A multi-camera and multimodal dataset for posture and gait analysis

Manuel Palermo, João Mendes Lopes, João André, et al.

Multimodal dataset with 166k samples for vision-based applications with a smart walker used in gait and posture rehabilitation. It is equipped with a pair of Depth cameras with data synchronized with an inertial MoCap system worn by the participant.

computer vision inertial motion capture smart walker gait and posture analysis depth rehabilitation human pose estimation deep learning

Published: Nov. 1, 2021. Version: 1.0.0

Database Open Access

Multimodal Synchronized Motion Capture, Force Plate, and Radar Dataset of the One-Legged Stand Test for Fall-Risk Assessment

Daniel Copeland, Evan Linton, Xiang Zhang, et al.

A multimodal dataset of 32 participants performing the One-Legged Stand Test (OLST), with synchronized motion capture, force plate, and 24 GHz radar data. Each of 1,241 trials is labeled with foot-lift, stability phases, and foot-touchdown.

motion capture human pose estimation human movement fall risk assessment non-contact sensing one-legged stand test force plate analysis digital biomarkers human balance testing geriatrics radar signal processing postural control multimodal sensing biomechanics aging and mobility

Published: Jan. 25, 2026. Version: 1.0

Database Open Access

Multimodal Synchronized Motion Capture, Force Plate, and Radar Dataset of the One-Legged Stand Test for Fall-Risk Assessment

Daniel Copeland, Evan Linton, Xiang Zhang, et al.

A multimodal dataset of 32 participants performing the One-Legged Stand Test (OLST), with synchronized motion capture, force plate, and 24 GHz radar data. Each of 1,241 trials is labeled with foot-lift, stability phases, and foot-touchdown.

motion capture human pose estimation human movement fall risk assessment non-contact sensing one-legged stand test force plate analysis digital biomarkers human balance testing geriatrics radar signal processing postural control multimodal sensing biomechanics aging and mobility

Published: Jan. 25, 2026. Version: 1.0