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LeapMotion Hand Gesture Dataset for UAV Management
Aesthetics
|...
许可协议: CC-BY-SA 4.0

Overview

Context

Hand gesture recognition dataset is presented, composed by a set of near infrared images and skeletal information acquired by the Leap Motion sensor.

Content

The dataset is composed by 11 different hand-gestures that are performed by 13 different subjects (3 women and 10 men).

The dataset is structured as follows:

  • /00 (subject with identifier 00)
  • /sequence (hand gesture sequences for subject 00)
    • /cam_b (hand gesture sequences for cam_b gesture)
      • /train (training hand gesture sequences for cam_b gesture)
        • /seq_0 (first sequence images for cam_b gesture)
        • /seq_0/frame_00_01_01_0001.png,...,frame_00_01_01_0010.png,... (images that corresponds to one repetition of the cam_b hand gesture performed by the subject with identifier 00)
        • /seq_1
        • ...
        • /seq_n
      • /test (testinghand gesture sequences for cam_b gesture)
        • /seq_0
        • /seq_1
        • ...
        • /seq_n
    • /cam_f
    • ...
    • /zoom_out
  • /images (hand gesture pose images for subject 00)
    • /down (hand images for down pose for subject 00)
      • /train (training hand images for down pose for subject 00)
      • /train/frame_00_01_0001.png,...,frame_00_01_01_0910.png,... (images that corresponds to the down hand pose performed by the subject with identifier 00)
      • /test (testing hand images for down pose for subject 00)
    • /ele
    • ...
    • /up
  • /01
  • /02
  • ...
  • /12 (last subject with identifier 12)
数据概要
数据格式
image,
数据量
348.524K
文件大小
3.21GB
发布方
GTI
| 数据量 348.524K | 大小 3.21GB
LeapMotion Hand Gesture Dataset for UAV Management
Aesthetics
许可协议: CC-BY-SA 4.0

Overview

Context

Hand gesture recognition dataset is presented, composed by a set of near infrared images and skeletal information acquired by the Leap Motion sensor.

Content

The dataset is composed by 11 different hand-gestures that are performed by 13 different subjects (3 women and 10 men).

The dataset is structured as follows:

  • /00 (subject with identifier 00)
  • /sequence (hand gesture sequences for subject 00)
    • /cam_b (hand gesture sequences for cam_b gesture)
      • /train (training hand gesture sequences for cam_b gesture)
        • /seq_0 (first sequence images for cam_b gesture)
        • /seq_0/frame_00_01_01_0001.png,...,frame_00_01_01_0010.png,... (images that corresponds to one repetition of the cam_b hand gesture performed by the subject with identifier 00)
        • /seq_1
        • ...
        • /seq_n
      • /test (testinghand gesture sequences for cam_b gesture)
        • /seq_0
        • /seq_1
        • ...
        • /seq_n
    • /cam_f
    • ...
    • /zoom_out
  • /images (hand gesture pose images for subject 00)
    • /down (hand images for down pose for subject 00)
      • /train (training hand images for down pose for subject 00)
      • /train/frame_00_01_0001.png,...,frame_00_01_01_0910.png,... (images that corresponds to the down hand pose performed by the subject with identifier 00)
      • /test (testing hand images for down pose for subject 00)
    • /ele
    • ...
    • /up
  • /01
  • /02
  • ...
  • /12 (last subject with identifier 12)
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