Gesture Recognition Dataset
A dataset of videos featuring people demonstrating five different hand gestures.
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- videos
- 10,000+
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- hand gestures
- 5
- Gesture Recognition
- Detection
- Human-Computer Interaction
- Computer Vision
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- videos
- 10,000+
-
- hand gestures
- 5
CASE DESCRIPTION
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A dataset consisting of videos of individuals demonstrating five distinct hand gestures: “one,” “four,” “small,” “fist,” and “me.”
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Each video is recorded in good lighting conditions and at a sufficient resolution to ensure clear visibility of the gestures.
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Each video shows a person clearly demonstrating a single hand gesture, facilitating accurate recognition.
Application areas of the dataset
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01.
Sign Language Recognition:
Supporting the development of systems that can interpret sign language for improved communication accessibility. -
02.
Gesture-Based Control Systems:
Systems allowing users to control devices through gestures, enhancing interaction without traditional input methods. -
03.
Virtual Reality Interactions:
Utilizing gestures in VR to create immersive experiences, enabling users to interact naturally with virtual environments. -
04.
Robotics:
Training robots to understand and respond to human gestures, improving interaction and collaboration.
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