fatigue
Datasets
All datasets matching “fatigue”Project_FatigueFatigueSense
FatigueSense Training Data
Domain-specific recordings and derived training artifacts for the FatigueSense
fatigue-detection pipeline. This dataset supports YOLO11n-pose retraining
(upper-body keypoints) and BiGRU temporal model training (1 Hz feature windows).
Contents
Path
Used by
Description
pose/
model_architecture.train_yolo_pose
YOLO-pose images + labels (5 kpts: nose, ears, shoulders). Pseudo-labeled with yolo11n-pose.pt.
pose/dataset.yaml
Ultralytics… See the full description on the dataset page: https://huggingface.co/datasets/Jlords32/FatigueSense.temporal_datasetMuscle_Fatigue_CyclingThis dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and… See the full description on the dataset page: https://huggingface.co/datasets/YominE/Muscle_Fatigue_Cycling.fatigue-detection-v3fatigue-injection-pi0.5-cube-stacking
fatigue-injection-pi0.5-cube-stacking
Franka Panda cube-stacking rollouts collected while a square-wave "fatigue" perturbation was injected
into the commanded end-effector motion. Five datasets, one per perturbation magnitude, so the effect of
perturbation strength can be studied at a fixed task and policy.
Rollouts were produced by a π0.5 policy served over openpi_client; only successful episodes were kept.
Subsets
Each subfolder is a standalone LeRobot dataset… See the full description on the dataset page: https://huggingface.co/datasets/SinjaeKang/fatigue-injection-pi0.5-cube-stacking.