Dataset Hub

The `raw` folder contains the original AMASS dataset files. The `amass_joints_h36m_60.pkl` file is a preprocessed version that can be generated by running the `convert_amass.py` script. The `train.tar.bz2` file is the converted dataset; simply extract it to the appropriate location for use.

The Myo‑armband EMG reading dataset contains recordings for multiple wrist gestures, including rest, flexion, extension, radial deviation, ulnar deviation, pronation, supination, and fist. The dataset details the data structure, recording protocol, gesture labels, and file formats.

The dataset was jointly created by the University of Genoa and the Italian Institute of Technology, focusing on the influence of object‑specific characteristics on human grasping and placing actions. It contains 1,200 pick‑and‑place actions performed by 15 participants, captured with a multimodal setup (multiple cameras, motion‑capture system, and wrist‑mounted inertial measurement units). The dataset aims to investigate intent recognition and motion generation for object interaction in robotics by analyzing human kinematics.