5 results about "Haptic rendering" patented technology

A haptic rendering device and corresponding rendering method allow to render a haptic effect defined in a haptic signal comprising information representative of an immersive scene description. The immersive scene comprises information representative of at least one element of the scene and information representative of a haptic object, comprising a type of haptic effect, at least one parameter of the haptic effect, and a haptic volume or surface where the haptic effect is active. The parameter of the haptic effect may be a haptic texture map. A corresponding syntax is proposed.

This invention relates to a head-mounted haptic rendering method and its implementation device, belonging to the field of haptic feedback technology in human-computer interaction. It includes controlling m-linear vibrators positioned in the forehead region of a head-mounted support structure via a control module; generating corresponding driving signals according to a preset haptic rendering mode, the driving signals including driving frequency, driving voltage, and time delay parameters; controlling each linear vibrator to vibrate according to the driving signals to render a haptic effect with spatial direction and positional awareness in the user's forehead region. Advantages include achieving directional frictional haptic rendering, multi-position collision haptic positioning, enhanced haptic realism and immersive experience, flexible control, strong scalability, novel structure that is easy to implement and integrate, good engineering feasibility, and applicability in fields such as virtual reality, augmented reality, human-computer interaction, gaming, and remote interaction, demonstrating high application value and promotion potential.

The application discloses a robot-assisted lumbar puncture method based on a visual force sense fusion Mamba network, and belongs to the technical field of medical robots and artificial intelligence. The physical perception preprocessing module decouples pure puncture force by using a LuGre friction model; a force-aware encoder is used to initialize state parameters based on a Kelvin-Voigt dynamics equation, and the physical hidden state of soft tissue is deduced; a haptic-render decoder is used to reconstruct a three-dimensional stiffness field, and a virtual force body rendering technology is used to predict tissue resistance in advance; finally, a soft-acting controller is used for safety braking and soft adjustment based on stiffness prediction. The application solves the problems of lack of physical interpretability of a black box model, spatiotemporal dislocation of visual and force sense signals and difficulty in real-time capturing of weak "empty feeling" in the prior art, and significantly improves the safety and accuracy of lumbar puncture surgery.

This invention discloses a human body surface palpation simulation training system based on multimodal AI interaction, belonging to the fields of medical simulation training and human-computer interaction technology. The system includes: a photoelectric-triboelectric fusion tactile perception and feedback unit, a palpation-specific micro-tactile feature library, an AI dynamic tactile rendering engine, and a hardware clock synchronization module. The photoelectric-triboelectric fusion tactile perception and feedback unit integrates modules such as multispectral imaging, synchronously collects four types of palpation data, and generates corresponding feedback. The feature library stores multi-dimensional features of real clinical palpation. The AI ​​engine is based on the Transformer architecture, combines the collected data and the feature library, and generates driving signals through calculation formulas. The synchronization module uniformly controls the sampling timing of each module. This invention integrates multiple modules to synchronously collect multi-dimensional palpation data, constructs a real clinical palpation feature library, and combines a customized AI algorithm that is deeply integrated with hardware to achieve high-fidelity, low-latency three-dimensional tactile simulation, ensuring the consistency of tactile feedback across different devices.

This invention proposes an embodied interactive smart accessory system based on affective computing and haptic feedback. It comprises a wearable biofeedback and haptic interaction device, a mobile computing device, and a cloud device. The wearable biofeedback and haptic interaction device is responsible for collecting data from electrical activity data (EDA), photoplethysmography (PPG), and inertial measurement unit (IMU), and executing haptic rendering commands. The mobile computing device handles Bluetooth communication, signal preprocessing, affective feature extraction, haptic rendering algorithm calculation, and communication with the cloud device. The cloud device runs a large language model, receives affective vectors, and generates personalized content. This invention addresses the lack of human touch in AI interaction by introducing an affective computing closed loop; and it resolves safety concerns in outdoor AR experiences through spatialized haptic navigation. This design aligns more closely with the scientific principles of embodied cognition, providing a more natural interface for human-machine symbiosis.