Unity package to track a hand in realtime!

• 60 FPS hand detection
• 3D Bones world detection

• Unity 2020.3 LTS
• ARFoundation
• iPhone with Lidar support (iPhone 12+ Pro)

• Add the package RealtimeHand to your manifest
• Add the SwiftSupportpackage to enable swift development
• Check the RealtimeHandSample for usage

• screenPos: 2D position in normalized screen coordinates;
• texturePos: 2D position in normalized CPU image coordinates;
• worldPos: 3D position in worldpsace
• name: name of the joint, matching the native one
• distance: distance from camera in meter
• isVisible: if the joint has been identified (from the native pose detection)
• confidence: confidence of the detection

Do most of the heavy work for you : just add it to your project, and subscribe to the ``HandUpdated` event to be notified when a hand pose has been detected

Steps:

• Create a GameObject
• Add the RealtimeHandManagercomponent
• Configure it with the ARSession, ARCameraManager, AROcclusionManagerobjects
• Subscribe to Action<RealtimeHand> HandUpdated;to be notified

OcclusionManager must be configured with temporalSmoothing=Off and mode=fastestfor optimal result

If you want to have a full control on the flow, you can manually intialize and call the hand detection process : more work, but more control.

• IsInitialized : to check if the object has been properly initialized (ie: the ARSession has been retrieved)
• IsVisivle: to know if the hand is currently visible or not
• Joints: dictionary of the all the joints

• Initialize(ARSession _session, ARCameraManager _arCameraManager, Matrix4x4 _unityDisplayMatrix) : initialize the object with the required components

The session must be in tracking mode

• Dispose() : release the component and it resources
• Process( CPUEnvironmentDepth _environmentDepth, CPUHumanStencil _humanStencil ) : launch the detection method using the depth buffers

Check the RealtimeHandManageras an example

When a camera frame is received :

• Execute synchronously VNDetectHumanHandPoseRequest to retrieve a 2D pose estimation from the OS
• Retrieve the environmentDepth and 'humanStencilCPU images
• From the 2D position of each bone, extract its 3D distance using the depth images to reconstruct a 3D position

• Linkedin Original Post : https://www.linkedin.com/posts/oliviergoguel_unity-arkit-arfoundation-activity-6896360209703407616-J3K7

• Fix compatibility with Unity 2020.3
• Added Lightning Shader & effects
• Initial Release