first commit

hot3d_processing/README.md

@@ -0,0 +1,26 @@
+## Code to process the HOT3D dataset
+
+
+## Usage:
+Step 1: Follow the instructions at the official repository https://github.com/facebookresearch/hot3d to prepare the environment and download the dataset. You should also enable jupyter because the processing codes are run on jupyter.
+
+Step 2: Set 'dataset_path', 'dataset_processed_path', 'object_library_path', and 'mano_hand_model_path' in 'hot3d_aria_preprocessing.ipynb', put 'hot3d_aria_preprocessing.ipynb', 'hot3d_aria_scene.csv', 'hot3d_objects.csv', and 'utils' into the official repository ('hot3d/hot3d/'), and run it to process the dataset.
+
+Step 3: It is optional but highly recommended to set 'data_path', 'object_library_path', and 'mano_hand_model_path' in 'hot3d_aria_visualisation.ipynb', put 'hot3d_aria_visualisation.ipynb' and 'mano_hand_pose_init' into the official repository ('hot3d/hot3d/'), and run it to visualise and get familiar with the dataset.
+
+
+## Citations
+
+```bibtex
+@inproceedings{hu25hoigaze,
+	title={HOIGaze: Gaze Estimation During Hand-Object Interactions in Extended Reality Exploiting Eye-Hand-Head Coordination},
+	author={Hu, Zhiming and Haeufle, Daniel and Schmitt, Syn and Bulling, Andreas},
+	booktitle={Proceedings of the 2025 ACM Special Interest Group on Computer Graphics and Interactive Techniques},
+	year={2025}}
+	
+@article{banerjee2024introducing,
+	title={Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking},
+	author={Banerjee, Prithviraj and Shkodrani, Sindi and Moulon, Pierre and Hampali, Shreyas and Zhang, Fan and Fountain, Jade and Miller, Edward and Basol, Selen and Newcombe, Richard and Wang, Robert and others},
+	journal={arXiv preprint arXiv:2406.09598},
+	year={2024}}
+```