Universal pose detection system for Unity supporting any pose model. Includes models. Perfect for fitness apps, games, AR/VR with real-time processing.
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This is a paid asset, but now you can download the “PoseDetection Interface” for FREE. Please note that this package is provided solely for learning purposes or to test the product before purchase, and not for commercial use.
PoseDetection Interface v1.0.0
“If possible, please buy the package to support the developer”
Description
Pose Detection Interface brings universal human pose detection to Unity projects using the industry-standard COCO pose keypoint format. Works with any COCO pose-segmentation model.
Universal Model Support:
Compatible with ANY COCO pose-segmentation keypoint format model
Pre-configured for all 17 COCO standard keypoints
Example models included
Easy model swapping and integration
Key Applications:
Fitness and workout tracking applications
Interactive games with body movement detection
Motion capture and animation systems
AR/VR body tracking solutions
Security and monitoring systems
Fully Customizable:
Modular architecture supporting any pose detection model
Extensive configuration options for performance tuning
Cross-platform deployment including Android devices
Complete source code for personal custom implementations
Content Includes:
Example ONNX models
Complete example scenes with working demonstrations
Ready-to-use prefabs for quick integration
Comprehensive scripting API for custom model integration
Made by Yasin Shabani Varaki aka MrFresheyPAX
Technical details
Technical Details
Key Features:
Universal COCO pose keypoint detection (17 standard keypoints)
Support for ANY COCO pose-segmentation format model
Real-time processing with optimized performance
Multi-input support (webcam, video files, playlists)
Android mobile platform optimization
Performance monitoring and FPS tracking
Automatic error handling and recovery
Drag-and-drop prefab system
Visual pose keypoint rendering
Batch video processing capabilities
Configurable confidence thresholds
Unity 6+ native compatibility
Cross-platform deployment support
models included
COCO Keypoint Standard: Nose, Eyes, Ears, Shoulders, Elbows, Wrists, Hips, Knees, Ankles
Selected Category: AI & Machine Learning
Features:
Pose Detection
Real-time Processing
Mobile Support
Video Processing
Neural Networks
COCO Standard
Supported OS:
Windows
macOS
Linux
Android
