Concurrent Hand Tracking Controllers in Meta Quest

Unlocking the Power of Mixed Reality: Concurrent Hand Tracking and Controllers

Mixed reality has revolutionized the way we interact with virtual objects, and now, with the latest update to the Meta SDK, developers can take their experiences to the next level by utilizing concurrent hand tracking and controllers. This innovative feature allows users to switch seamlessly between using controllers and hand tracking, providing a more immersive experience.

Configuring Concurrent Hand Tracking and Controllers

To enable concurrent hand tracking and controllers, developers need to access the OVR camera rig interaction in their Unity project. Within this component, they will find the OVR manager, where they can configure the settings for both controllers and hands.

• First, ensure that hand tracking support is enabled for both controllers and hands.
• Next, set body tracking to "None", as it is not compatible with concurrent hand tracking and controllers.
• Then, enable the simultaneous hands and controller option.

Showcasing Concurrent Hand Tracking and Controllers in Action

Once the settings are configured, developers can test their application to see concurrent hand tracking and controllers in action. The OVR controller prefab allows for customization of the show state, enabling developers to decide when the controller should appear.

• By default, the OVR hand is set to "Controllers Not In Hand", which means that hand tracking will only be visible when the controller is not in use.
• However, developers can change this setting to "Always" to ensure that the OVR controller appears at all times.

Exploring Meta's Concurrent Hand Tracking and Controllers Example Scene

Meta has provided an example scene that showcases the capabilities of concurrent hand tracking and controllers. The "Concurrent Hand Tracking and Controllers" example demonstrates a ping pong table with realistic physics, allowing users to interact with virtual objects using both controllers and hand tracking.

Unlocking New Possibilities in Mixed Reality Development

The introduction of concurrent hand tracking and controllers opens up new possibilities for mixed reality development. By providing users with the flexibility to switch between controllers and hand tracking, developers can create more immersive experiences that cater to different user preferences.

• This feature has the potential to revolutionize various industries such as gaming, education, and healthcare.
• Developers can now focus on creating innovative experiences that take advantage of this technology.

The Meta Quest, formerly known as Oculus Quest, is a standalone virtual reality (VR) headset that has been gaining popularity among VR enthusiasts. One of the key features that set it apart from other VR headsets is its ability to support concurrent hand tracking controllers. In this article, we will delve into the details of this feature and explore how it enhances the overall VR experience.

Concurrent hand tracking controllers refer to the ability of a VR system to track the movements of both hands simultaneously, allowing for more natural and intuitive interactions in virtual environments. This feature is made possible by advanced computer vision algorithms that use cameras on the headset to detect and track the position and orientation of the user's hands.

The Meta Quest uses a combination of cameras, sensors, and machine learning algorithms to track the movements of both hands. The headset is equipped with four cameras that capture images of the user's hands from different angles. These images are then processed by the headset's computer vision system, which uses machine learning algorithms to detect and track the position and orientation of the hands.

• More Immersive Experience: With concurrent hand tracking controllers, users can interact with virtual objects in a more natural and intuitive way, creating a more immersive experience.
• Improved Precision: The ability to track both hands simultaneously allows for more precise interactions, making it easier to manipulate virtual objects and perform complex actions.
• Enhanced Productivity: Concurrent hand tracking controllers can also enhance productivity in VR applications such as training simulations, education, and design.

While concurrent hand tracking controllers offer many benefits, there are still some limitations to consider. For example, the system may struggle with occlusion, where one hand is blocking the view of the other. Additionally, the accuracy of the hand tracking may vary depending on the lighting conditions and the complexity of the virtual environment.

However, Meta is continuously working to improve the hand tracking technology, and future developments are expected to address these limitations and provide even more advanced features.

• Inertial Measurement Unit (IMU): measures acceleration, roll, pitch, and yaw
• Magnetometer: measures magnetic field strength
• Accelerometer: measures linear acceleration
• Gyroscope: measures angular velocity

• Monocular camera: captures images of the user's hands
• Convolutional Neural Network (CNN): processes images to detect hand poses and finger positions

• Kalman Filter: estimates hand position and velocity from noisy sensor data
• Random Forest: classifies hand poses and finger positions based on sensor data

• Optical Flow: tracks controller movement using pixel intensity changes between frames
• Structure from Motion (SfM): estimates 3D controller pose from 2D image features

• Model-based tracking: uses a 3D model of the human hand to estimate pose and finger positions
• Markerless tracking: uses feature detection and tracking to estimate hand movement without markers

• Multithreading: splits computation across multiple CPU threads for parallel processing
• GPU acceleration: offloads compute-intensive tasks to the GPU for faster processing