Five Motion-Tracking and Spatial-Localization Methods for VR
Survey of VR motion-capture and spatial localization methods, including laser, infrared, visible-light, computer vision, and inertial sensors comparing accuracy, range, and latency.
Survey of VR motion-capture and spatial localization methods, including laser, infrared, visible-light, computer vision, and inertial sensors comparing accuracy, range, and latency.
Leap Motion hand tracking API overview: sensor geometry and coordinate system, frame/trackable object model, motion transforms, and per-hand/pointable data.
Overview of virtual reality technology and motion capture, detailing sensor-based recording of skeletal keypoints, mapping methods, and applications in animation and data visualization.
Analysis of PS VR's 120Hz refresh: native 60/90/120Hz modes, how asynchronous reprojection doubles 60Hz to 120Hz, latency effects and developer trade-offs.
Detailed analysis of holographic projection technology, covering holography principles, transmission/reflection types, laser sources, interference and diffraction imaging.
Technical overview of MicroLED microdisplays for AR glasses, covering brightness targets, 300 mm manufacturability, system topology, and module integration.
Overview of augmented reality surgical navigation: technical principles, market status, AR knee replacement CE approval, key systems and future trends.
ams OSRAM optical and sensing components for AR/VR: laser modules, proximity and gesture sensors, eye/hand tracking cameras and dToF depth systems for mixed-reality devices.
IMU-based orientation prediction for AR/VR: a Kalman-like error-compensation method that adjusts head-orientation estimates using prior-prediction accuracy to reduce latency.
Examines VR for myopia management, experimental findings with HTC Vive, and key technical factors—virtual image distance, refresh rate, and latency—affecting outcomes.