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IPMC-Group Acoustic-based gesture dataset

The dataset contains a series of gesture data perceived by sound waves for gesture recognition and related research.

📚Content

  • Gesture type: digits(0-9, 10 kinds), capital letters(A-Z, 26 kinds), self-defined gestures(8 kinds).

  • Number of spectrograms: 86,752.

  • Collecting device: mainly Samsung Galaxy Tab S2; very few are Oppo watch and Xiaomi phone.

  • The specific details include orientation, environment, posture and distance. If further clarification is needed, please feel free to contact the author.

  • Example:

    Letter"A", Samsung Tab, 0°, lab environment, in-hand: [p1-sss-0-1-lab-hand-18.png] p1-sss-0-1-lab-hand-18

    Digit"0", Oppo watch, 0°, lab environment, on-table: [p11-watch-0-1-lab-none-17.png] p11-watch-0-1-lab-none-17

⚙️File Structure

- /
  ├── /digits
  │   ├── /0
  │   │   ├── p1-sss-0-1-lab-hand-1.png
  │   │   ├── p11-watch-0-1-lab-none-2.png
  │   │   └── ...
  │   ├── /1
  │   │   ├── ...
  │   ├── /2
  │   │   └── ...
  │   └── ...
  ├── /extension gestures
  │   ├── /gesture0
  │   │   ├── p2-sss-0-1-lab-none-new-46.png
  │   │   ├── p3-sss-0-1-lab-none-new-14.png
  │   │   └── ...
  │   ├── /gesture1
  │   │   ├── ...
  │   │   └── ...
  │   └── ...
  └── /letters
      ├── /A
      │   ├── p1-sss-0-1-lab-hand-1.png
      │   ├── p1-sss-0-1-lab-hand-2.png
      │   └── ...
      ├── /B
      │   └── ...
      └── ...

✔️Usage

  1. Download: Clone or download the dataset locally.
git clone https://github.com/ISAC-GROUP/ISAC-Gesture.git
  1. Data format: Data sets are stored as image files in their respective category folders.
p11    -    watch    -    0    -    1    -    lab    -    none    -    20     .png
 │            │           │         │          │            │           │      │              
user       device    orientation distance  environment   posture      count  format
     
  1. Citation: If you have used this dataset in your research, please refer to this dataset.

🔗Citation

If you have used this dataset, please cite the following information:

https://github.com/ISAC-GROUP/ISAC-Gesture

😀Contact information

If you have any questions or feedback, please feel free to contact us:

Thank you for using our dataset!

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OpenSource Gesture (Demo, including some sample data for all classes)

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