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license: apache-2.0
---
# Palmpad Dataset
The Palmpad Dataset is a publicly available multimodal dataset designed for research in finger-to-palm recognition. This dataset contains data from users, divided into two groups (Group 1 and Group 2). Each user's data consists of multiple video files in .avi format, along with corresponding frame-level annotation files in .txt format.
## Overview
Paper Title: Palmpad: Enabling Real-Time Index-to-Palm Touch Interaction with a Single RGB Camera
## Dataset Content
Each data sample includes a .avi video file and a corresponding .txt annotation file with frame-level labels.
The dataset is divided into two groups.
Applications: Finger-to-Palm Recognition
## Dataset Structure
The dataset is organized as follows:
Palmpad_Dataset/
│
├── group_1/
│ ├── user-0/
│ │ ├── user-0_0.avi
│ │ ├── user-0_0.txt
│ │ ├── user-0_1.avi
│ │ ├── user-0_1.txt
│ │ └── ...
│ ├── user-1/
│ │ └── ...
│ └── ...
│
├── group_2/
│ ├── user-0/
│ │ ├── user-0_0.avi
│ │ ├── user-0_0.txt
│ │ └── ...
│ └── ...
└── ...
File Descriptions
group_1/ and group_2/: The dataset is split into two groups, each containing data from 16 users.
user-{id}/: Data for each user is stored in a separate folder.
user-{id}_{index}.avi: Video file capturing the user's action.
user-{id}_{index}.txt: Frame-level annotation file corresponding to the video.
Annotation Format
The annotation files are plain text, where each line corresponds to a frame in the video. The format is as follows:
<Timestamp> <downsample> <raw>
<Timestamp>: The frame timestamp for each frame.
<downsample>: The label of touch(1) or not(0) for the corresponding frame.
<raw>: Middle value for calculate the label.
Example:
1691995008118219 0 0
1691995008126552 0 0
1691995008134885 0 0
## Dataset Statistics
User number: 16 users in Group 1, 16 users in Group 2.
Average Data per User: Each user has multiple video files and corresponding annotation files.
Video Resolution: 1280x720
Video Frame Rate: 120 FPS
## License
This dataset is released under the following license: Apache 2.0
For commercial or other uses, please contact the authors for permission.
## Citation
If you use the Palmpad Dataset in your research, please cite the following paper:
Zhe He, Xiangyang Wang, Yuanchun Shi, Chi Hsia, Chen Liang, and Chun Yu. 2025. Palmpad: Enabling Real-Time Index-to-Palm Touch Interaction with a Single RGB Camera. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 551, 1–16. https://doi.org/10.1145/3706598.3714130
## Contact
If you have any questions or suggestions, please contact us via:
Email: teburile@gmail.com
Issues: Submit an issue on the Issues page of this repository.
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