13 results about "Touch sensation" patented technology

Disclosed is a robotic system and method designed for the verification and validation of smart connected Human-Machine Interface (HMI) devices. The robotic system integrates a multi-finger modular robotic module, a haptic module, a finger actuator, vision cameras, vision lights, a finger rotary module, a Cartesian robotic arm, an onboard user interface, and an L-shaped door. The method involves replicating human finger interactions, simulating touch sensations on a device under test (DUT), ensuring continuous and reliable operation, utilizing vision cameras for navigation and verification, optimizing vision with controlled lighting, positioning cameras strategically, executing various tasks with a robotic arm, and facilitating user interaction through an onboard interface.

Disclosed is a robotic system and method designed for the verification and validation of smart connected Human-Machine Interface (HMI) devices. The robotic system integrates a multi-finger modular robotic module, a haptic module, a finger actuator, vision cameras, vision lights, a finger rotary module, a Cartesian robotic arm, an onboard user interface, and an L-shaped door. The method involves replicating human finger interactions, simulating touch sensations on a device under test (DUT), ensuring continuous and reliable operation, utilizing vision cameras for navigation and verification, optimizing vision with controlled lighting, positioning cameras strategically, executing various tasks with a robotic arm, and facilitating user interaction through an onboard interface.

Secure user identification and transaction authentication are disclosed. Using an Autonetics true touch sensation engine, AI to identifies and extracts unique human / avatar behavior metadata. This enables precise user authentication for transactions or token reset processes. An avatar touch sensor interface or other extended reality (XR) mechanisms to start user interaction, prompting for traditional PIN authentication. After successful first authentication, it further analyzes the syngeneic avatar behavior metadata, using data collection methods to strengthen security measures. With Hybrid Capture Input (HCI) technology, user behavior is verified to align with pre-established unique behavioral profile(s), to confirm user identity. This self-improving system adapts authentication algorithms dynamically, based on user interaction with the avatar, to create personalized and secure authentication processes. Integrating syngeneic avatar behavior metadata with true touch sensation engineering presents a novel approach to PIN security systems, offering a dual-layer security mechanism and representing a significant leap in adaptive AI authentication technologies.

Disclosed are a haptic feedback device and a virtual reality (VR) interface device for simultaneously providing thermo-touch haptic feedback. The haptic feedback device includes a thermal sensation providing unit configured to provide a thermal sensation to a user; a touch sensation providing unit configured to provide a touch sensation to the user; and a fixing device configured to fix at least a portion of the thermal sensation providing unit and at least a portion of the touch sensation providing unit, the thermal sensation providing unit includes a substrate; at least one thermoelectric device (TED) formed on the substrate; and a thermal pad formed on the at least one thermoelectric device (TED), and the touch sensation providing unit includes a base with a hole formed; and a film configured to bond to the base and to elongate according to the air pressure provided through the hole.

A method for realizing tapping or touch functionality with realistic touch sensation, applied in a system with XR augmented reality wearables and head-mounted displays. Preset points are marked on the joint lines of the palm. The user can see the functional areas bound to these preset points through the glasses. Two trigger points WL and WR are set. The system acquires N image video streams with parallax information. For the N images of the same time sequence, the position of the trigger fingertip P in each image is tracked and evaluated to determine whether it lies between the two trigger points WL and WR of any functional area. The x-coordinate values ​​of the three target points WL, P, and WR are acquired. The differences between WL and P, and between P and WR, are calculated, and their ratios are determined.Only when all ratios in the N images match is it determined that the trigger fingertip P has touched the functional area, and the corresponding content of the functional area is output or activated. This invention makes it possible to precisely determine whether a real touch has occurred through purely visual calculations. This involves touching the palm of the hand or an object surface, providing a realistic touch sensation when typing or using touch functions.

The present invention discloses an omnidirectional adaptive tactile finger based on visual-touch fusion and a method for using the same, comprising: a soft finger body, an image sensor and a bracket; the image sensor is installed between the brackets, the bracket is installed at the bottom of the soft finger body and the image sensor is placed directly below the soft finger body; in the process of the omnidirectional adaptive tactile finger contacting an object, based on the intrinsic force perception principle, non-embedded form of tactile sensation is realized through visual-touch fusion, the coupling solution problem of internal and external perception in soft tactile sensation is overcome, the two-dimensional contact force position and size perception of a large deformation part is realized, and the preparation process is simplified at the same time.

The invention relates to the technical field of intelligent interaction of pets, and discloses an AI intelligent interaction system for pets, which comprises a pet body, a main control chip, a voice acquisition module, a display module, a sensing module, a feedback execution module, an NFC friend-making module, an offline wake-up word recognition module and an intimacy management module. The induction module is used for identifying shaking actions or touch induction received by the pets, the feedback execution module is used for outputting feedback signals, the NFC friend making module is used for triggering interaction between different pets, and the offline wake-up word identification module is used for waking up the pets without a network. The intimacy management module is used for recording the interaction behavior between the user and the pet body and calculating the intimacy. A social scene is covered through the NFC friend-making module, interaction between toys is achieved, the guidance and use threshold of green hands is lowered, and the whole scene from single-person accompanying to multi-person interaction is covered; due to the integrated design, the AI pet intelligent toy can be developed step by step, the user experience is better, and the activity of the user can be improved.

To provide an artificial leather which simultaneously achieves uniform and elegant surface quality, good touch sensation, and wear resistance while suppressing the total amount of heat generated at the time of combustion. Provided is an artificial leather including: a fiber-tangled body containing a nonwoven fabric made of fine fibers having an average single fiber diameter of 0.01 μm or more and 10.0 μm or less; and a polymer elastic body. The artificial leather satisfies the following requirements:requirement 1: the artificial leather has a weight per unit area of 25 g / m2 or more and 75 g / m2 or less; andrequirement 2: the number per unit area of micropores penetrating the artificial leather in the thickness direction and having a pore diameter of 35 μm or more and 500 μm or less is 0.1 / mm2 or more and 5.0 / mm2 or less.

The present invention discloses a device and method for reproducing the touch sensation of casual shoes and an online shopping method based on the touch sensation reproduction. The touch sensation reproduction device comprises a supporting component and a control and reproduction component, which reproduces the touch sensation of casual shoes from multiple touch sensation dimensions such as tightness, softness, rebound and freshness. Various control parameters for reproducing the various touch sensations of the casual shoes are calculated from various touch sensation characteristic values and contour characteristic values of known casual shoes. When applied to the device, various touch sensations of the casual shoes can be comprehensively reproduced through a softness reproduction matrix, an elasticity reproduction part, a rebound reproduction matrix and a freshness reproduction part. The reproduced touch sensations are detected in real time and compared with the corresponding real touch sensations, and the errors are corrected. The various touch sensation characteristic values are simultaneously transmitted to a virtual reality system, and casual shoes corresponding to the touch sensation characteristic values are constructed in a virtual reality environment. The touch and vision are simultaneously reproduced to the user, allowing the user to try on the casual shoes when shopping online and experience the on-site tactile and visual feelings.

To differentiate resistance generated during key press and release, using a method different from magnetic field control, when achieving touch feeling by resistance using fluid.SOLUTION: A keyboard device 10 according to one embodiment includes: a first key 70 arranged to be depressible; a holding portion 23 for enclosing and retaining fluid; and a first movable member 21 configured to receive force and move within fluid 29 in a first direction when the first key 70 is depressed. The first movable member 21 has such a shape that the force exerted by the fluid 29 when moving in the first direction is greater than the force exerted by the fluid 29 when the first key 70 moves in a second direction opposite to the first direction.SELECTED DRAWING: Figure 2

A virtual reality (VR) system is provided for training a user to assemble a device in a virtual work area. The VR system sequentially displays an ordered list of steps by highlighting tools and locations in the virtual work area. The highlighted tools and locations indicate movement or processing of a component that is to be performed in the current step. In one embodiment, the VR system includes a haptic glove for providing touch sensation to a user. The haptic glove is used to train the user to detect issues in the surface finish of a component (e.g., a burr) during assembly.

Secure user identification and transaction authentication are disclosed. Using an Autonetics true touch sensation engine, AI to identifies and extracts unique human / avatar behavior metadata. This enables precise user authentication for transactions or token reset processes. An avatar touch sensor interface or other extended reality (XR) mechanisms to start user interaction, prompting for traditional PIN authentication. After successful first authentication, it further analyzes the syngeneic avatar behavior metadata, using data collection methods to strengthen security measures. With Hybrid Capture Input (HCI) technology, user behavior is verified to align with pre-established unique behavioral profile(s), to confirm user identity. This self-improving system adapts authentication algorithms dynamically, based on user interaction with the avatar, to create personalized and secure authentication processes. Integrating syngeneic avatar behavior metadata with true touch sensation engineering presents a novel approach to PIN security systems, offering a dual-layer security mechanism and representing a significant leap in adaptive AI authentication technologies.

A virtual reality (VR) system is provided for training a user to assemble a device in a virtual work area. The VR system sequentially displays an ordered list of steps by highlighting tools and locations in the virtual work area. The highlighted tools and locations indicate movement or processing of a component that is to be performed in the current step. In one embodiment, the VR system includes a haptic glove for providing touch sensation to a user. The haptic glove is used to train the user to detect issues in the surface finish of a component (e.g., a burr) during assembly.