This section explores advanced topics, such as integrating with other SDKs, implementing locomotion controllers that blend tracked and controller-driven movement, driving fitness apps, and interacting with virtual objects.

ISDK Integration: Demonstrates integrating ISDK (Interaction SDK) with a retargeted character, enabling it to interact with scene objects using hand gestures.

ISDK Locomotion: Explains how to implement locomotion for a retargeted character using ISDK (Interaction SDK).

Body Tracking for Fitness: Shows how to visualize and analyze body poses for fitness applications, focusing on user body shape.

Networking Loopback: Demonstrates integrating body tracking into a networking packet queue.

Hip Pinning: Demonstrates how to add custom constraints to update the body interactions with virtual objects and floor with a light IK solution.

ISDK Integration

You can find this sample scene (MovementISDKIntegration) in the Samples~/AdvancedSamples/Scenes folder at the Oculus Samples GitHub repo.

This scene demonstrates how to enable a retargeted character to interact with virtual objects, using ISDK and the stylized character from previous scenes. It features two characters—one controlled by the user’s body and the other mirroring the user. The scene includes a virtual mug that can be picked up, triggering a HandGrab gesture, as demonstrated in the ISDK Samples scene HandGrabExamples. The scene also offers toggles for displaying input and output skeletons, ensuring they match the ISDK’s hand bone positions.

Note: This method requires hand sizes to be similar to avoid mesh penetration.

Scene Details

Characters: A retargeted stylized character integrates ISDK hands with body tracking, while another mirrors it.

Interactions: A floating mug can be grabbed, activating specific hand poses and skeleton adjustments.

Controls: Buttons for toggling body tracking methods and calibrating height.

Debug Draw Menu: Toggle options for bone visualizations of the body tracking input and retargeted skeletons.

Tracking Fidelity: Options to switch between IOBT and basic 3-point tracking.

Height Calibration: A button to adjust the tracking height to 1.8 meters.

Mug Details

The Mug MSDK object is modeled after an ISDK sample in a scene called HandGrabExamples.

ISDK Stylized Character Details

OVRBody: Provides source joints from body tracking for retargeting to the target character.

CharacterRetargeter: Retargets body tracking source values to the target character’s joints using a configuration. Please see Body Tracking for more information.

ISDK Skeleton Processor: Integrates ISDK hand poses into the skeleton, updating each game frame.

Integration Details

Detailed implementation information can be found in Integrating ISDK with Movement SDK.

ISDK Locomotion

You can find this sample scene (MovementISDKLocomotion) in the Samples~/AdvancedSamples/Scenes folder at the Oculus Samples GitHub repo.

This scene demonstrates mixing controller-based locomotion with body-tracked animations, allowing players to move between areas using controllers and engage in body tracking in specific zones. It features two stylized characters in the LocomotionExamples scene, with options for all locomotion modes as described in Locomotion Interactions.

Scene Details

Characters: A retargeted stylized character integrates ISDK locomotion and animations with body tracking, while another mirrors it.

Environment: The same environment and scene elements as the LocomotionExamples scene.

Controls: Buttons for toggling body tracking methods, calibrating height, and ISDK Locomotion options.

ISDK Locomotion Menu: Switch between multiple locomotion modes and settings using this menu panel.

Debug Draw Menu: Toggle options for bone visualizations of the body tracking input and retargeted skeletons.

Tracking Fidelity: Options to switch between IOBT and basic 3-point tracking.

Height Calibration: A button to adjust the tracking height to 1.8 meters.

ISDK Locomotion Stylized Character Details

OVRBody: Provides source joints from body tracking for retargeting to the target character.

CharacterRetargeter: Retargets body tracking source values to the target character’s joints using a configuration. Please see Body Tracking for more information.

Animation Skeleton Processor: Blends a current animation with the retargeted character pose.

Locomotion Skeleton Processor: Integrates ISDK locomotion data into the character retargeter.

Locomotion Details

Detailed implementation can be found in Integrating ISDK Locomotion with Movement SDK.

Body Tracking for Fitness

You can find this sample scene (MovementBodyTrackingForFitness) in the Samples~/AdvancedSamples/Scenes folder at the Oculus Samples GitHub repo.

This sample uses body tracking to monitor a user’s exercise positions and provide feedback on pose accuracy. It features two skeletons that compare user alignment to a predefined target pose, with visual feedback and a counter for successful alignments.

Scene Details

Tracking: Real-time body pose adjustments based on headset data.

UI: Elements for recording and comparing body poses.

Feedback: Visual indicators and counters for pose matching.

Scene Detail Locations

The scene is available at Assets/Samples/Meta Movement/<version>/Advanced Samples/Scenes/MovementBodyTrackingForFitness.unity.

Networking Loopback

You can find this sample scene (MovementNetworking) in the Samples~/AdvancedSamples/Scenes folder at the Oculus Samples GitHub repo.

This sample demonstrates how to incorporate body tracking into a networking packet queue. By utilizing the NetworkCharacterRetargeter and implementing the INetworkCharacterBehaviour, 1st-person movement can be transmitted as binary data over the network. In this sample, this data is retrieved from a local packet queue and applied to a 3rd-person character, enabling seamless movement replication.

Scene Details

Characters: A 1st-person character acts as the network host sending data. The data gets written to a local queue.

A 3rd-person character is placed facing the 1st-person character acting as the network client receiving data. The data is retrieved from the local queue.

UI: A textbox is shown above the receiving network client showing the approximate amount of bandwidth used.

Controls: Buttons for toggling body tracking methods and calibrating height.

Debug Draw Menu: Toggle options for bone visualizations of the body tracking input and retargeted skeletons.

Tracking Fidelity: Options to switch between IOBT and basic 3-point tracking.

Height Calibration: A button to adjust the tracking height to 1.8 meters.

Networked Character Details

OVRBody: Provides source joints from body tracking for retargeting to the target character.

NetworkCharacterRetargeter: Retargets body tracking source values to the target character’s joints using a configuration and networks that data, depending on if it is the host or client. Please see Body Tracking for more information.

NetworkCharacterBehaviourLocal: Determines how the compressed networked data packet should be handled for the host and client. In this case, as it’s a local loopback scene, the data is streamed directly to the client with 50ms latency and interpolation applied.

Hip Pinning

You can find this sample scene (MovementHipPinning) in the Samples~/AdvancedSamples/Scenes folder at the Oculus Samples GitHub repo.

This scene features a stylized character with hip pinning, allowing realistic seated interactions within a virtual environment. It includes calibration for chair position and IK leg grounding.

Scene Details

Characters: A retargeted stylized character tracks user movements, while another mirrors it.

Interactions: The hips are pinned to a set location on the chair, and the legs are grounded through IK for a realistic seated posture.

Hip Pinning Character Details

OVRBody: Provides source joints from body tracking for retargeting to the target character.

CharacterRetargeter: Retargets body tracking source values to the target character’s joints using a configuration. Please see Body Tracking for more information.

Hip Pinning Skeleton Processor: Runs after the retargeting step to process pinning the hips to a location, and ground the legs through IK.

CCDIK Skeleton Processor: Uses CCDIK to solve the arms after the hip pinning step so that interactions are still accurate.

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