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Smart Tv Hand Gestures Image Detection
A smart TV gesture recognition model based on the Vision Transformer architecture, capable of accurately classifying 9 common gestures.
Downloads 65
Release Time : 1/30/2025
Model Overview
This model utilizes the ViT architecture to achieve gesture recognition in smart TV scenarios, identifying 9 types of gestures including swipes, stops, thumb directions, etc., with an accuracy rate of 99.9%.
Model Features
High-Precision Recognition
Achieves 99.9% overall accuracy on the test set, with all gesture F1 scores exceeding 99.5%
Multi-Gesture Support
Supports precise classification of 9 common smart TV gestures
Efficient Architecture
Modern visual architecture based on Vision Transformer, balancing performance and efficiency
Model Capabilities
Image Classification
Gesture Recognition
Real-time Action Detection
Use Cases
Smart Home
TV Gesture Control
Enables remote-free operation by capturing user gestures via camera
Accurately identifies 9 control gestures with a misrecognition rate <0.1%
Accessible Interaction
Special Needs Control Interface
Provides a contactless interaction solution for users with mobility impairments
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