13 results about "Haptic interaction" patented technology

The application provides a natural tactile interaction method and component of a data-driven bionic robot, and the method comprises the following steps: collecting tactile interaction process data of a real organism corresponding to the bionic robot and a user and statistically aggregating the data to obtain a training data sequence; establishing a data-driven interaction prediction model and training the data-driven interaction prediction model by using the training data sequence; determining a tactile input signal generated by a tactile input system of the bionic robot acted on by the user; and controlling the natural tactile interaction of the bionic robot according to the tactile input signal by using the trained data-driven interaction prediction model. By the method of the application, the touch action of the user can be recognized by the tactile input system, the natural feedback that the bionic robot should give to the user can be calculated by the data-driven interaction prediction model, and the closed loop of the natural tactile interaction feedback can be realized by controlling the action of the bionic robot.

The present application relates to the technical field of wearable terminal surface microstructure and tactile interaction, and discloses a wearable terminal surface structure forming method and a wearable terminal, the method comprising: obtaining target surface information of the wearable terminal, the target surface comprising at least one of an interaction area and a wearing contact area; establishing a microtexture database, storing texture parameters, friction characteristics and tactile distinguishability indexes of candidate microtexture structures under dry, aqueous wetting and oily wetting working conditions; dividing functional partitions according to the functional attributes of the target surface, and determining corresponding microtexture structures for each functional partition based on the microtexture database, so that the target surface forms a tactile resistance distribution and / or a friction regulation distribution; the microtexture database and texture layout rules are updated through prototype verification data backflow, so that the tactile resistance gradient corresponds to the continuous parameter risk interval, and the synergistic optimization of wearing stability, comfort and continuous parameter adjustment safety prompt is realized.

The application discloses a dynamic resolution ultrasonic phased array haptic generation device and a control method, relates to the technical field of ultrasonic haptic feedback, and realizes the software adjustment of the ultrasonic haptic focus size through an EDM beam forming algorithm, thereby breaking through the limitation of the traditional DAS method which is limited by hardware. Users can dynamically select a high resolution mode or a high radiation force mode according to specific application scenarios, and the flexibility and reality of haptic interaction are significantly improved. The system structure is compact, all adjustments are completed through software, hardware does not need to be changed, and the system is convenient to integrate into intelligent automobile central control, AR / VR headgear, interactive exhibition stands and other equipment, so that more rich and adaptive haptic experiences are provided for human-computer interaction. Under the premise of not changing the hardware structure, the system optimizes the phases and amplitudes of all channels of the ultrasonic array through the software algorithm of the upper computer, and cooperates with the hardware logic control of the FPGA controller to realize the dynamic control of the spatial resolution of the haptic focus and the generation of multiple foci.

The application provides a crop grabbing mechanical arm control system and control method fusing mixed reality, and belongs to the technical field of robot control, and comprises the following steps: a mixed reality head-mounted display end collects real environment images of an operator's visual angle and tracks hand posture data; when in a working mode, it is judged whether the right hand is located in a safety area; if yes, the position change amount, posture information and the interdigital distance of the thumb and the index finger of the right hand are acquired and sent to the mechanical arm; the mechanical arm end maps the received information into incremental control instructions for the end and open-close control instructions for the clamping jaw; the mechanical arm end is provided with a clamping jaw with a tactile sensor, the sensor acquires micro tactile signals during crop grabbing, feeds back micro deformation of the clamping jaw fingertips to the operator, maps into three levels of tactile interaction prompt information, and based on the head-mounted display, the visual field is superimposed, so that the operator can intuitively feel the tactile information during crop grabbing by the mechanical arm clamping jaw. The application can control the mechanical arm.

This application provides a method and system for virtual tactile interaction of cultural relics based on multimodal perception fusion. The method includes: preprocessing a 3D ancient scene and a 3D digital model of the cultural relic corresponding to a physical cultural relic model; transmitting one of the physical cultural relic models of different materials to a designated interactive area according to the progress of content preview; identifying the spatial information of the physical cultural relic model using spatial positioning technology, and fusing the spatial information of the physical cultural relic model with the pose of a virtual camera in a VR headset; activating a gesture tracking device to perform real-time gesture tracking, acquiring real-time gesture tracking data, and rendering a virtual hand in the virtual space based on the real-time gesture tracking data; when a viewer wears VR headsets to observe the virtual scene, while the real hand touches the physical cultural relic model, the virtual hand simultaneously touches the virtual cultural relic model in the virtual space. This application improves the accuracy of virtual-real pose fusion during virtual cultural relic interaction, reduces interaction response latency, and provides a better user experience.

This invention discloses a variable impedance driving assistance control method for intelligent vehicles based on generative trajectory prediction, comprising the following steps: (1) synchronously collecting multi-source data to construct a multimodal spatiotemporal context tensor; (2) using a generative trajectory prediction model to predict the driver's ideal operating trajectory; (3) based on the intention deviation between the actual operation and the ideal trajectory, integrating the potential energy of the dynamic driving risk field for comprehensive evaluation, and generating a tactile interaction tuple through a nonlinear strategy mapping mechanism; (4) establishing a variable impedance control model based on the tuple, calculating the auxiliary interaction torque, and driving the steer-by-wire motor to execute. Compared with the traditional torque superposition mode, this method establishes an implicit tactile interaction channel by adjusting the mechanical impedance of the steering wheel, realizing the adaptive smooth intervention of the auxiliary torque and the flexible alignment with the driving intention, effectively alleviating control conflict, and improving the handling stability of intelligent vehicles and the driver's interactive experience.

This invention relates to the field of artificial intelligence technology, and discloses a method and system for multimodal haptic interaction and context fusion based on artificial intelligence. The method includes acquiring multi-source sensory signals from the user and performing on-device preprocessing; extracting cross-modal features and generating a user interaction intent representation vector through a lightweight multimodal fusion model; simultaneously acquiring environmental context and physiological emotion parameters to construct a context-emotion joint context vector; coupling these two to generate context-enhanced interaction commands, driving AI glasses to execute adaptive responses; and triggering multi-level interaction mode switching when recognition is unstable. This application can improve the accuracy of interaction in complex dynamic environments, reduce the false trigger rate, and achieve a personalized and robust intelligent interaction experience.

The application discloses a kind of sensing fabric surface texture identification methods based on intelligent sensor, it is related to texture identification technical field, comprising the following steps: S1, output triboelectric signal sequence;S2, output texture friction high-frequency signal sequence;S3, construct standardization microtexture feature vector;S4, utilize improved DeepWalk model to combine anisotropic diffusion kernel simulation manifold diffusion process, by tensor ring decomposition and tangent space alignment aggregation mapping is low-dimensional embedding, based on tangent space relative geometric distance executes classification decision, output initial texture identification result;S5, output logic optimal texture category;S6, output final texture identification result;S7, the consistency of identification result and the surface to be measured is verified by tactile interaction.The application overcomes the limitation that prior art ignores contact mechanism, lacks essential description and lacks verification means, significantly improves the robustness and accuracy of texture identification.

Haptic interaction information processing methods, apparatuses and devices are provided, belonging to the field of haptic signal expression. The haptic interaction information processing method according to an embodiment of the present disclosure includes: (S101) counting a quantity of waveforms of haptic interaction signals in a target video picture, wherein the target video picture is a video picture in a target video, and the waveform of one haptic interaction signal corresponds to haptic interaction information of one video picture region in the target video picture; and (S102) generating a gray-scale information characterization map corresponding to the target video picture according to the quantity of the waveforms of the haptic interaction signals, wherein the gray-scale information characterization map is configured to characterize distribution positions of video picture regions in the target video picture.

The application belongs to the technical field of tactile communication and intelligent human-computer interaction, and discloses a multi-point tactile intelligent encoding and decoding device, system and method. An acquisition end obtains original tactile signals, and extracts features through a neural network self-encoder. A weighted fusion module based on an attention mechanism dynamically groups and quantizes residual errors of the encoded features in combination with channel state information (CSI), so as to realize low-code-rate compression transmission. A perception end inversely quantizes received data and reconstructs signals, and optimizes output tactile signals in combination with a multi-scale perception calibration mechanism, so that the output tactile signals are closer to original inputs in the human perception dimension. A multi-point tactile feedback device obtains vibration feedback corresponding to real-time multi-channel vibration tactile signals based on the reconstructed signals. The application realizes efficient compression, low-delay transmission and high-quality reconstruction of tactile signals by fusing a deep learning architecture and a psychological tactile perception model, and is suitable for virtual reality, remote operation, medical robots and other high-precision tactile interaction scenes.

The present application relates to a kind of based on vibration and skin displacement control's haptic glove device and rendering method, belong to virtual reality and man-machine interaction field.The mapping model between the shape features such as the distance between fingertip and object surface, object stiffness coefficient and surface curvature and each parameter of haptic drive signal is established to realize the haptic reproduction of three-dimensional object profile, elasticity, surface texture, impact and fluid flow in virtual space, and the haptic glove device includes audiovisual presentation unit, computing unit, posture sensing unit, haptic interaction unit, instruction control unit and signal driving unit.The present application has the advantages that: the haptic feedback device can realize the haptic reproduction of the features such as convex, concave, edge, soft and hard degree and surface texture of three-dimensional object in virtual space, impact force, fluid flow and other tactile sensation without exerting strong dynamic force, enriches tactile experience, and enhances the real feeling and immersion when interacting with virtual object.

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.