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Data Structure ?
* 以上分析是由系统提取分析形成的结果,具体实际数据为准。
README.md
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 15 different hand-gestures that are performed by 15 different subjects (5 women and 10 men).
The dataset is structured as follows:
near-infrared (Near infrared images)
- /00 (subject with identifier 00)
- /test_gesture (hand gesture testing imageries for subject 00)
- /02_l (testing samples of hand gesture with identifier 02_l)
- /00 (images for sample 00 of hand gesture 02_l)
- /00/frame_4312_l.png,...,frame_4459_r.png,... (images that corresponds to one repetition of the L hand gesture performed by the subject with identifier 00)
- /02
- ...
- /05
- /04_fist_moved
- ...
- /22_up
- /test_pose (hand poses testing imageries for subject 00)
- /02_l
- ...
- /22_up
- /train_pose (hand poses trainin imageries for subject 00)
- /02_l
- ...
- /22_up
- /01
- /02
- ...
- /14 (last subject with identifier 14)
skeletal (Skeletal information stored in xml files)
- /00 (subject with identifier 00)
- /test_gesture (hand gesture testing skeletal information for subject 00)
- /02_l (testing samples of hand gesture with identifier 02_l)
- /00 (skeletal information for sample 00 of hand gesture 02_l)
- /00/frame_4312.xml,...,frame_4459.xml,... (xml files with skeletal information that corresponds to one repetition of the L hand gesture performed by the subject with identifier 00)
- /02
- ...
- /05
- /04_fist_moved
- ...
- /22_up
- /test_pose (hand poses testing imageries for subject 00)
- /02_l
- ...
- /22_up
- /train_pose (hand poses trainin imageries for subject 00)
- /02_l
- ...
- /22_up
- /01
- /02
- ...
- /14 (last subject with identifier 14)
The xml with the skeletal information is structured as follows:
Frame (Name for the Leap Motion structure that encloses the skeletal information)
- Images (Distinguish between the information obtained by the two infrared cameras of the Leap Motion)
- RightImage (Information of the right camera)
- Hands (Information of the hands detected by the Leap Motion)
- Right (Information of the right hand, left hand is not included as the proposed dataset just uses right hand gestures)
- Center (Position of the palm center)
- Normal (Normal vector of the palm center)
- Direction (Direction to which the palm center is pointing)
- Velocity (Velocity of the hand)
- SphereCenter (Position of the hand center, considering also the fingers)
- Confidence (Indicates if the hand is well detected or not)
- PinchStrength (Hand pinch strength)
- GrabStrength (Hand grab strength)
- SphereRadius (Radius of the sphere defined by the hand with center in SphereCenter)
- Fingers (Information of the fingers)
- Thumb (Thumb finger information)
- Type (Finger type, in this case Thumb)
- TipPosition (The instantaneous position in mm from the Leap Motion origin)
- TipDirection (The current pointing direction vector)
- TipVelocity (The instantaneous velocity)
- TippLength (The apparent length of the finger)
- dipPosition (dip position)
- pipPosition (pip position)
- mcpPosition (mcp position)
- Index (Index finger information)
- Middle (Middle finger information)
- Ring (Ring finger information)
- Pinky (Pinky finger information)
- LeftImage (Information of the left camera)
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