121 results about "Audio feedback" patented technology

A trailer and vehicle hitching assembly 100 comprising a tongue portion 22 for affixing to a body of the trailer or vehicle, a hitch portion 32 for selectably securing the assembly to the other of the

Method for generating haptic and audio feedback responses starts with processor causing communication interface for communication session to be displayed on first and second user interfaces. Communication interface includes first area and second area. Processor detects first touch input on first user interface and second touch input on second user interface and determines location of first touch input being in first area and location of second touch input being in second area. Processor causes first and second user interfaces to generate first audio feedback response associated with first area and second audio feedback response associated with second area. In response to determining that location of first touch input is updated to second area while the location of the second touch input is in second area, processor causes first and second user interfaces to generate enhanced audio feedback response and enhanced haptic response feedback. Other embodiments are described herein.

The method for generating a tactile feedback response and an audio feedback response begins by causing a communication interface of a communication session to be displayed on a first user interface and a second user interface by a processor. The processor detects a first touch input on the first user interface and a second touch input on the second user interface. The processor monitors the position of the first touch input on the first user interface and the position of the second touch input on the second user interface. The processor determines the distance between the position of the first touch input on the first user interface and the position on the first user interface corresponding to the position of the second touch input on the second user interface. In response to determining that the distance is below a predetermined threshold, the processor causes the first user interface and the second user interface to generate an initial tactile feedback response and an initial audio feedback response. Other embodiments are described herein.

A system for controlling unmanned vehicles such as drones, ground vehicles and robots includes multiple human-to-machine interface components to manage interactions efficiently and effectively between humans and robots with respect to control mechanisms (i.e., inputs such as voice-commands or joystick use) and monitoring (i.e., outputs such as camera or other sensor feeds, geolocation overlay, or audio feedbacks). A system according to the principles of the invention includes numerous modalities for control (e.g., voice-control, gesture-control, touch screen, joystick or other hand-held controllers) as well as monitoring (visual screen display, heads-up-display, audio feedbacks, geolocation overlay, haptic feedback, wearable sensor devices). The system is preferably expandable and may include additional modalities in the future, such as eye-tracking as compared to voice or gesture control.

A system for capturing, identifying, and processing images and soft biometrics includes an image capture device, a pan and tilt device, a speaker for audio feedback, and a microphone for voice capture, all controlled by a computing device. Image capture is enhanced by detecting image focus, facial recognition matching, detecting the number of subjects and unwanted objects, and checking the cropped image by detecting whether eyes and mouth are open or closed, detecting redeye, detecting background color, detecting lighting conditions, and detecting subject location, pose and expression. Soft biometrics including scars, marks, and tattoos are also identified, cropped and classified.

A processor-implemented method for speech sensing is disclosed. A tongue position sensor (TPS) is embedded palatally in an oral cavity of a person. The TPS detects tongue movement of the person. A barometric sensor and an inertial measurement unit (IMU) sensor are both located in the oral cavity of the person and coupled to the TPS. The TPS, barometric sensor, and IMU sensor together form an intraoral mouthpad that can detect tongue movements, jaw and / or head movements, and breathing of the person. Input from the mouthpad can be analyzed on a processor coupled to the mouthpad. The processor and the mouthpad combine to form an intraoral speech sensing complex. The complex can sense human speech based on the processor output. The complex can sense normal, low-volume, or silent speech of the person. The complex can provide non-blocking audio feedback to the person through a bone conduction speaker.

The invention relates to the technical field of artificial intelligence interaction, and discloses an artificial intelligence interaction device, which comprises an information acquisition unit, a data processing unit, a somatosensory feedback unit, a visual feedback unit and an audio feedback unit, and is characterized in that the information acquisition unit comprises a high-precision motion capture sensor, a voice recognition sensor and an environment sensor; the information collection unit is an information inlet of the device and is responsible for collecting multi-dimensional information of a user in the interaction process, and the multi-dimensional information of the user in the interaction process is obtained through the arranged somatosensory feedback unit and the touch sense by means of the synergistic effect of a micro vibration motor array, a flexible pressure sensor and a temperature adjusting element. The touch sense of various materials, the counter-acting force of an object, the temperature change and the touch sense evolution in continuous actions can be accurately simulated, and in combination with an environment sensor, a user can really sense the physical characteristics of the object in the virtual world in the interaction process, so that the interaction experience is more real, fine and natural.

Systems and methods for preventing potential audio feedback loops are provided. In an example method, a first client device joins a video conference hosted by a video conference provider, the video conference having multiple participants each using a client device, including the first client device and a second client device. The first client device identifies a potential audio feedback loop between the first client device and the second client device based on contextual information, first information about a first position of the first client device, and second information about a second position of the second client device. The first client device executes a command to prevent the potential audio feedback loop.

A system for capturing, identifying, and processing images and soft biometrics includes an image capture device, a pan and tilt device, a speaker for audio feedback, and a microphone for voice capture, all controlled by a computing device. Image capture is enhanced by detecting image focus, facial recognition matching, detecting the number of subjects and unwanted objects, and checking the cropped image by detecting whether eyes and mouth are open or closed, detecting redeye, detecting background color, detecting lighting conditions, and detecting subject location, pose and expression. Soft biometrics including scars, marks, and tattoos are also identified, cropped and classified.

The present invention is directed to a system and method for grasp synthesis of non-occluded and occluded objects by a robot manipulator with grippe. A robot manipulator with gripper and gripper camera is in communication with a user interaction device. The user interaction device presents visual and audio feedback to the user and accepts user input and feedback for human-in-the-loop grasp synthesis and execution. The robot manipulator comprises an arm first link, an arm second link connected to the arm first link via an elbow joint, wrist actuators, at least one gripper, gripper jaws, a gripper camera, and arm base actuators.

The invention discloses a multi-modal sentiment analysis method and system, and relates to the technical field of sentiment analysis, and the method comprises the steps: carrying out the modal feedback interaction of a text single-modal feature, an audio single-modal feature and a visual single-modal feature of feature extraction of multi-modal sentiment data, generating text feedback features, audio feedback features and visual feedback features; encoding the text feedback feature, the audio feedback feature and the visual feedback feature through a language encoder and a non-language encoder, and determining the text feedback feature and a mixed encoding feature formed by splicing the audio encoding feature and the visual encoding feature; performing feature screening interaction by adopting the text coding features and the mixed coding features, and determining text screening features, mixed screening features and cross screening features; and outputting an emotion analysis result based on the text screening features, the mixed screening features and the cross screening features. Based on the above scheme, information mixing and intermodal interference can be prevented, and emotion analysis reliability can be improved.

Method for generating haptic and audio feedback responses starts with processor causing communication interface for communication session to be displayed on first user interface and on a second user interface. Processor detects first touch input on first user interface and second touch input on second user interface. Processor monitors location of the first touch input on the first user interface and location of the second touch input on the second user interface. Processor determines distance between location of first touch input on first user interface and location on first user interface corresponding to location of second touch input on second user interface. In response to determining that the distance is below predetermined threshold, processor causes first user interface and second user interface to generate an initial haptic feedback response and an initial audio feedback response. Other embodiments are described herein.

The invention belongs to the technical field of medical instrument control, and particularly discloses a single-line digital audio output control system of high-frequency surgical equipment, which comprises the steps of constructing a multi-dimensional parameter fused state perception and semantic audio feedback mechanism, accurately identifying the working mode, the power level and the output stability of the equipment through auditory sense, and controlling the output of the high-frequency surgical equipment according to the state perception and semantic audio feedback mechanism. The operation burden and the misjudgment risk in a complex operation environment are effectively reduced; transmission of audio, data and a power supply is integrated by adopting a single-line digital audio bus, so that the internal structure and the electromagnetic compatibility of equipment are optimized fundamentally; by establishing a set of self-adaptive safety closed loop from communication quality monitoring to power and audio cooperative control, the health condition of a communication link can be actively monitored, and when it is detected that the communication quality is reduced, protective measures such as power reduction and safety alarm are automatically triggered, and the potential control failure risk is eliminated in the bud.

A flight simulator virtual instructor training module that interfaces with a home flight simulator is provided. The system and method aims to enhance the flight simulation experience by providing real-time feedback and scoring based on the user's performance, leveraging artificial intelligence to generate context-specific messages and audio feedback. This could potentially improve the user's learning curve and overall flight simulation experience.

The present invention is directed to a system and method for grasp synthesis of non-occluded and occluded objects by a robot manipulator with grippe. A robot manipulator with gripper and gripper camera is in communication with a user interaction device. The user interaction device presents visual and audio feedback to the user and accepts user input and feedback for human-in-the-loop grasp synthesis and execution. The robot manipulator comprises an arm first link, an arm second link connected to the arm first link via an elbow joint, wrist actuators, at least one gripper, gripper jaws, a gripper camera, and arm base actuators.

Electronic devices may be provided that contain flexible displays that are bent to form displays on multiple surfaces of the devices. Bent flexible displays may be bent to form front side displays and edge displays. Edge displays may be separated from front side displays or from other edge displays using patterned housing members, printed or painted masks, or by selectively activating and inactivating display pixels associated with the flexible display. Edge displays may alternately function as virtual buttons, virtual switches, or informational displays that are supplemental to front side displays. Virtual buttons may include transparent button members, lenses, haptic feedback components, audio feedback components, or other components for providing feedback to a user when virtual buttons are activated.

The invention relates to an intelligent plant interaction system and method based on a natural catalyst and a controller. The system comprises a natural catalyst sensing module which comprises a natural conductive medium serving as a touch sensor, and the natural conductive medium generates a capacitance signal when being touched by a human body; the control module is connected with the natural conducting medium and is used for obtaining a capacitance value of the touch sensor according to the capacitance signal; judging whether the current touch operation is valid or not based on the current capacitance threshold value and the capacitance value; when the current touch operation is effective touch, a display instruction is sent to a visual feedback module, and the touch interval time between the current touch operation and the last effective touch is calculated; and determining an audio feedback mode corresponding to the current touch operation according to the touch interval time, and extracting feedback audio from an audio file set corresponding to the audio feedback mode. By adopting the system, the man-machine interaction effect of the intelligent flowerpot can be improved.

A non-transitory computer-readable medium may store instructions readable by a processor for destressing an agent in a contract center. The instructions may cause the processor to run a monitoring and triggering application (“MTA”) to identify a state of stress of the agent. The MTA may run an artificial intelligence machine learning (“MTA AI / ML”) algorithm to identify the state of stress in which a first data stream feature (“first feature”) may have a first emotion of the agent that registers above a first feature threshold that corresponds to the first feature, and a second data stream feature (“second feature”) that is contemporaneous with the first feature may have a second emotion of the agent that is aligned with the first emotion of the agent when the first emotion registers above the first feature threshold and the second emotion, contemporaneous with the first emotion, registers above a second feature threshold.

The invention discloses a piano tuning auxiliary positioning system, belongs to the technical field of musical instrument tuning, and aims to solve the problem of positioning deviation caused by neglecting string tension dynamic evolution and environmental disturbance in the prior art. The system comprises a tuning peg state sensing module, a string tension evolution monitoring module, a central cooperative controller, a man-machine interaction guide module and an audio feedback verification module. Through fusion of triple information of tuning peg angular displacement, tension steady state discrimination and acoustic frequency feedback, staged accurate guidance and dynamic decision are realized. The system rapidly approaches the target in the coarse tuning stage, premature termination is avoided in the fine tuning stage according to the tension steady state, the tuning accuracy is ensured through audio closed-loop verification, and the tuning precision, efficiency and robustness are remarkably improved.

The invention provides an audio playing method and device, and the method comprises the steps: receiving a key control instruction submitted by a user through key equipment, and analyzing the key control instruction, thereby obtaining key control information. And determining a target key pressing force matched with the key pressing control information, and determining a target audio matched with the target key pressing force. And taking the target audio as a response of the key control instruction, and playing the target audio for the user. The corresponding target audio is played according to the key control operation of the user, and the audio feedback is directly associated with the key operation of the user, so that the key device without pressure induction can simulate the key pressure and play the target audio matched with the key pressure, and the user experience is improved.

The application discloses an audio and video signal extension device and method, a storage medium and a program product, and relates to the technical field of signal processing. The device comprises the following steps: connecting a sending end and a receiving end through a network cable; the sending end comprises a first audio and video signal interface, a first network cable interface and an audio feedback processing module; the receiving end comprises a second network cable interface, a second audio and video signal interface and an audio feedback module; when audio signals are fed back from a target device to a signal source device: the receiving end receives the audio signals fed back by the target device through the second audio and video signal interface, embeds the audio signals in a video frame through the audio feedback module to obtain a composite signal, and feeds back the composite signal to the sending end through the second network cable interface; the sending end receives the composite signal through the first network cable interface, extracts the audio signals from the composite signal through the audio feedback processing module, and outputs the audio signals to the signal source device through the first audio and video signal interface.

A method and system directed to controlling audio devices with active noise reduction. The system detects a first instability condition in a first headphone based on one or more parameters; alters a parameter of the one or more parameters; and detects a second audio instability condition in the first headphone based on the altered parameter of the one or more parameters. The first and second audio instability conditions are related to audio feedback.

The present disclosure generally relates to interacting with audio data via motion input. In some embodiments, methods, devices, and techniques are provided for detecting motion input to interact with audio notifications, providing audio feedback for detected motion gestures, and detecting motion input in a spatial audio arrangement.

The invention relates to a method for identifying an object target by an agent based on a large model, and the method comprises the steps: constructing an object identification agent TRA which comprises a target detection library module, a function module and a large language model, and the function module comprises a target detection library and an object identification module; performing fine tuning on the TRA by using the fine tuning data set to obtain a fine-tuned TRA; and for a piece of new voice data, the fine-tuned TRA identifies and outputs audio feedback. According to the method, a traditional large model is combined with a small model special for the field, multi-modal data can be processed, a series of instructions can be executed, and therefore the human participation degree in the task execution process is further reduced. The TRA constructed by the large language model subjected to instruction fine tuning can perform object identification and key information analysis processing tasks according to the natural language instruction, the efficiency is high, and the overall effect is ideal.

Communication methods, devices, and systems are described for supporting audio menu navigation and option selection via a display device. To support audio menu navigation and option selection via a display device, a communication connection is established between an automated voice menu system and a user device, one or more option selections corresponding to an option menu are determined, a user interface is generated at the user device including an arrangement of elements corresponding to the one or more option selections, input is received from a user via the user interface, and a response is sent from the user device to the automated voice menu system via the communication connection based at least in part on the input received from the user, wherein the response is responsive to audio feedback and indicates a selection of a subset of the determined one or more option selections.

We provide the system. [Solution] Information collection methods for collecting users' biometric data, A signal transmission means for transmitting the aforementioned biometric data to an augmented reality platform, The platform includes a diagnostic means that analyzes the biometric data to evaluate the user's mental state, Activity generation means that generates activities optimized for the user based on the results of the diagnostic means, A presentation means for notifying the user of the generated activity through visual or audio feedback, A feedback collection means collects user responses to the aforementioned activities again using information gathering means and reflects them in subsequent optimization, A system that includes this.

System (100) for wearable smart glasses that provides improved visual support to visually impaired users, wherein the system (100) comprises: a frame (102) wherein the frame (102) is configured to accommodate electronic components; an image acquisition unit (104), wherein the image acquisition unit (104) is designed to be able to capture visual data in real time under low light conditions and daylight; a processing unit (106) wherein the processing unit (106) is functionally coupled to the image acquisition unit and is configured to execute deep learning models for image enhancement, object detection, extraction of prominent objects and text recognition; an augmented reality module (108) coupled to a processor, wherein the augmented reality module (108) is configured to overlay context-related digital information onto the user's field of vision; an IoT communication interface (110), wherein the IoT communication interface (110) enables real-time connectivity with external devices and cloud services; and an output interface (112), wherein the output interface (112) comprises audio feedback, haptic feedback or a tactile display designed to transmit detected information to the user.

To provide a method, system and non-transitory computer-readable recording medium for audio feedback during a live broadcast.SOLUTION: A method implemented on a computer system includes providing a live broadcast by receiving broadcast content transmitted from an electronic device of a caster, and by streaming the received broadcast content to electronic devices of multiple users through a communication session established between an account of the caster and accounts of the users; receiving audio feedback about the live broadcast from an electronic device of a user during the live broadcast; and delivering the audio feedback to the electronic device of the caster.SELECTED DRAWING: Figure 4

The application provides an audio playing method and device, wherein the audio playing method comprises the following steps: receiving a key control instruction submitted by a user through a key device, analyzing the key control instruction, and obtaining key control information; determining a target key force that matches the key control information, and determining a target audio that matches the target key force; taking the target audio as a response to the key control instruction, and playing the target audio for the user. The application realizes playing of a corresponding target audio according to a key control operation of the user, associates the audio feedback with the key operation of the user directly, enables a key device without pressure sensing to simulate key pressure, plays a target audio that matches the key pressure, and improves user experience.

Described herein are examples of hardware-based voice-activated artificial intelligence (AI) systems for versatile task execution which include an input interface, a processing module, a control circuit, a communication module, and an audio device. The input interface may include a microphone configured to receive spoken language input provided by a user in the form of an audio signal and a converter configured to convert the captured audio signal to a digital signal. The processing module may include a central processing unit (CPU) and memory, configured to process the received spoken language input by executing a machine learning algorithm or a natural language processing routine stored in the memory. The control circuit may generate a response or action based on the spoken language input. The communication module may be communicatively linked with an external system. The audio device may be configured to provide a voice-based response or audio feedback to the user.