Natural Cycling Workload

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