This dataset accompanies the paper "Predicting Ray Pointer Landing Poses in VR Using Multimodal LSTM-Based Neural Networks." It contains the raw trajectory archives used for the paper's two user studies, plus the original data processing code used to prepare model inputs.
Paper link: IEEE Xplore
The data captures bare-hand raycasting selection behavior in VR with multimodal time-series signals from hand, head-mounted display (HMD), and gaze… See the full description on the dataset page:
https://huggingface.co/datasets/Gilfoyle727/vr-ray-pointer-landing-pose.