DreamSkeleton
Automated 2D-to-3D Character Rigging and Motion Synthesis with Diffusion-Based Pose Estimation.
Precision Finger Tracking and Haptic Feedback for Enterprise XR and Motion Capture
The Manus Prime II series represents a high-fidelity haptic and motion capture interface designed for professional-grade virtual reality and digital character animation. Architecturally, the Prime II utilizes a proprietary sensor fusion of high-precision flex sensors and 9-DOF IMUs (Inertial Measurement Units) to deliver sub-millimeter finger tracking accuracy. As we move into 2026, the Prime II remains a cornerstone of the Manus Meta ecosystem, serving as a reliable enterprise-grade solution that bridges the gap between affordable consumer hardware and ultra-high-end optical tracking. Its technical architecture is built on the 'Manus Core' software, which handles the complex kinematics and data calibration locally to ensure ultra-low latency. The product's market positioning in 2026 focuses on industrial use cases such as VR pilot training, assembly line simulation, and real-time cinematic production. Its modular design allows for integration with major tracking systems like OptiTrack, Vicon, and Xsens, while its hardware is designed for long-shift ergonomics with washable textile liners and a high-capacity battery system for untethered operation.
Manus Core allows concurrent tracking of up to 8 users within the same local network environment.
Automated 2D-to-3D Character Rigging and Motion Synthesis with Diffusion-Based Pose Estimation.
Real-time AI-powered character animation and rhythmic motion synthesis.
AI-Driven 3D Character Rigging and Motion Retargeting for Rapid Content Production
AI-driven motion capture and 3D character animation for the spatial computing era.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Each finger is equipped with Linear Resonant Actuators for distinct vibration patterns based on virtual collision data.
Standardized mounting brackets for Vive Trackers and Oculus Touch controllers on the back of the hand.
Fiber-optic flex sensors that measure joint rotation with 2 segments per finger.
The electronics module is detachable from the textile glove.
Proprietary 2.4 GHz wireless protocol with a range of up to 15 meters.
C++ and C# based SDK with full access to raw sensor data for R&D purposes.
Pilots need to interact with small switches and dials accurately without using bulky controllers.
Registry Updated:2/7/2026
Keyframing finger movements manually is time-consuming and looks unnatural.
Students need tactile feedback while learning to manipulate robotic arms.