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A dataset of egocentric vision, eye-tracking and full body kinematics from human locomotion in out-of-the-lab environments. Also, different use cases of the dataset along with example code.

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The-way-of-the-future

The way of the future_compressed

A dataset of egocentric vision, eye-tracking and full body kinematics from about 24 hours of human locomotion in out-of-the-lab environments. The data can be accessed on figshare (Part 1: https://doi.org/10.6084/m9.figshare.c.6076607) and figshare+ (Part 2: https://doi.org/10.25452/figshare.plus.21761465).

Please read the paper for complete description of the dataset: https://doi.org/10.1038/s41597-023-01932-7

Dataset storage format

The data is stored in a hierarchical structure. Each leaf node (green, far right) is a file, stored in folders and subfolders (blue boxes) as depicted here.

data_format4

Regarding the code

'csvSave_v5_kine_only.m' generates the processed .csv files with Kinematics data from the raw mvnx files. 'cvSave_v5_kinematics_and_vision.m' generates the same and also saves the id of synchronized vision frames.

Please refer to the visualizations below to verify the synchronization of Vision and Kinematics streams. These can be generated using the script 'custom_humanoid.m' in the Visualizations directory

Visualization.mp4
visualization2.mp4

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A dataset of egocentric vision, eye-tracking and full body kinematics from human locomotion in out-of-the-lab environments. Also, different use cases of the dataset along with example code.

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