Published February 16, 2026
| Version v1
Dataset
Open
Natural Cycling Workload
Authors/Creators
-
1.
Delft University of Technology
Description
Natural Cycling Workload — Dataset
Dataset for analyzing cognitive workload during natural cycling using eye-tracking, IMU, and GPS data
This dataset accompanies the study "Describing and predicting cyclists' workload in natural urban conditions through gaze, head and bicycle kinematics".
It provides raw and processed data from 27 cycling sessions in Delft, Netherlands, collected between April 24 and May 15, 2025.
The dataset is intended for researchers studying human behavior in naturalistic environments, cognitive workload prediction, and multimodal sensor fusion (eye-tracking, IMU, GPS).
For more details about the code and the data collection please read https://github.com/jrPhD/NaturalCyclingWorkload/blob/main/README.md
Files
README.md
Files
(35.4 GB)
| Name | Size | Download all |
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md5:96e17be4c58bb8ab86026a6613a07279
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35.4 GB | Preview Download |
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md5:ad603ac00f7b371527215fb71349abb1
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16.7 kB | Preview Download |
Additional details
Additional titles
- Subtitle (English)
- Dataset for analyzing cognitive workload during natural cycling using eye-tracking, IMU, and GPS data
Software
- Repository URL
- https://github.com/jrPhD/NaturalCyclingWorkload