Resources

5 results for "motion capture"

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.

We present synchronized motion capture, force plate, and processed 24 GHz Frequency-Modulated Continuous Wave (FMCW) radar recordings from 32 healthy participants (15 “young” participants aged 32 or younger, and 17 “old” participants aged 64 or olde…
Published: Jan. 25, 2026. Version: 1.0
Database Open Access

MICRO Motion capture data from groups of participants standing still to auditory stimuli (2012)

Victor Gonzalez, Agata Zelechowska, Alexander Refsum Jensenius

This dataset comprises head motion observations collected as part of an experiment in which a group of people were asked to stand still for 6 minutes, with the first 3 minutes in silence, followed by 3 minutes with music. Head motion was captured in…
Published: Oct. 5, 2020. Version: 1.0
Database Open Access

MICRO Motion capture data from groups of participants standing still to auditory stimuli (2015)

Victor Gonzalez, Agata Zelechowska, Alexander Refsum Jensenius

This project contains head movement data recorded from groups of participants asked to stand as still as possible and presented with a series of auditory stimuli. Data was collected in units of mm with a Qualisys motion capture system at 100Hz. Data…
Published: Dec. 8, 2020. Version: 1.0
Database Open Access

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

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

Gait and posture analysis while using assisting robotic devices is of utmost importance to attain effective assistance. This work provides a multi-camera, multimodal, and detailed dataset for vision-based applications using a wheeled robotic walker …
Published: Nov. 1, 2021. Version: 1.0.0
Database Restricted Access

Kinematic dataset of actors expressing emotions

Mingming Zhang, Lu Yu, Keye Zhang, et al.

We produced a kinematic dataset to assist in recognizing cues from all parts of the body that indicate human emotions (happy, sad, angry, fearful, , disgust, surprise) and neutral. The present dataset was created using a portable wireless motion cap…
Published: July 7, 2020. Version: 2.1.0