49 results about "Ambient sensing" patented technology

A computer-implemented method for operating an artificial intelligence voice agent system includes receiving voice input through communication channels; analyzing converted text through natural language processing (NLP) pipelines implementing intent recognition and sentiment analysis detecting emotional cues using a multimodal large language model (LLM); generating response content using machine learning models trained on domain-specific corpora; converting generated responses to synthetic speech through text-to-speech (TTS) engines; integrating with a customer relationship management (CRM) platforms or an enterprise resource planning (ERP) database; and implementing continuous learning by updating language understanding models using conversation logs, voice recognition parameters based on user feedback, and response generation patterns. One implementation is a computer-implemented system and method that operates a suite of intelligent interactive devices and platforms including an artificial intelligence voice agent, enhanced communication platforms, an intimacy companion system, and augmented / virtual reality eyeglasses. Further, one implementation includes AR / VR eyeglasses that project visual content onto interchangeable lenses or directly onto the user's retina via laser-based retinal projection, provide prescription adjustments, incorporate ear-mounted sensors for monitoring physiological parameters like heart rate, oxygen saturation, and blood pressure, and utilize wireless data transmission, onboard environmental sensing, and remote calibration, all designed to offer dynamically adaptive, secure, and context-aware interactions across communication, personal assistance, health monitoring, and immersive augmented or virtual reality environments.

A digital-physical twin system and method for environmental process modeling and forecasting are disclosed. The system includes a digital twin server configured to receive environmental data from a real-world environment, including hyperspectral and spectroscopic imaging, simulate environmental process transitions using a predictive model based on the environmental data, and generate parameters for a physical experiment designed to validate or refine the predictive model. A physical twin device, comprising a scaled and instrumented representation of the real-world environment, is configured to execute the physical experiment under controlled conditions. Experimental data is returned to the digital twin to iteratively refine the predictive model in a closed-loop learning cycle using self-supervised and reinforcement learning. The system supports spatially-spectrally selective experimentation, including fluorescence spectroscopy, to enhance environmental sensing. This architecture enables scalable, sample-efficient modeling of processes such as post-wildfire hydrology, vegetation regrowth, and soil change.

The invention relates to the technical field of multi-parameter physiological signal monitoring, in particular to an intelligent laryngeal mask and respiration monitoring system which comprises a laryngeal mask body and a multi-parameter optical fiber measuring system. The optical fiber sensing unit is embedded into the laryngeal mask main body and comprises an acoustic sensing part and an environment sensing part with a functional coating; the signal processing unit demodulates and couples an original signal, combines physical parameters of the coating and inputs the original signal into a multi-parameter coupling correction model, and decouples independent and accurate multiple parameters; and the target thickness of the coating is determined through acoustic correction error minimization and comprehensive calculation that the sensitivity of each environmental parameter reaches the standard. The system can generate an abnormal ventilation alarm and feed back to control the breathing machine. Multi-parameter synchronous monitoring can be achieved, coating interference is eliminated, and breathing management safety and practicability are improved. In the actual application process, the abnormal breathing function caused by abnormal breathing machine state or abnormal laryngeal mask position of a user can be found in time, the purpose of early discovery and early intervention can be achieved, and malignant events are avoided.

The invention provides a tone tuning method and a tone tuning system with an environment sensing artificial intelligence (AI) function, and a terminal device. The tuning method comprises the following steps: analyzing an acquired space sound wave signal, and generating a space characteristic parameter; the collected input audio signals are analyzed, audio characteristic parameters are generated, and corresponding noise types are output; matching the spatial feature parameters to corresponding spatial types, and determining scene types according to the spatial types and noise types; and obtaining a tuning parameter corresponding to the scene type, and outputting an adjusted audio signal. According to the method, the physical space type and the voice noise type are combined to judge the scene type at the moment, and the high misjudgment rate, the rigid tuning strategy and the insufficient dynamic adaptability caused by single-mode judgment are avoided.

A method comprises receiving, by a radar sensor, reflections from at least two points on a body of a user. The method comprises determining, by a processor operatively coupled to the radar sensor, a change of an elevation angle and a rate of change of the elevation angle of the user with respect to the radar sensor, based on the reflections from the at least two points on the body of the user. The method comprises determining changes of a radar cross-section (RCS) associated with the body of the user along an elevation dimension. The method comprises determining whether a fall event occurred based on at least one of: the rate of change and the change of the elevation angle, or the changes of the RCS.

A method comprises receiving, by a radar sensor, reflections from at least two points on a body of a user. The method comprises determining, by a processor operatively coupled to the radar sensor, a change of an elevation angle and a rate of change of the elevation angle of the user with respect to the radar sensor, based on the reflections from the at least two points on the body of the user. The method comprises determining changes of a radar cross-section (RCS) associated with the body of the user along an elevation dimension. The method comprises determining whether a fall event occurred based on at least one of: the rate of change and the change of the elevation angle, or the changes of the RCS.

Systems and methods are described for environment sensing and assigning sequences to base stations. Some embodiments may virtually eliminate interference between sensing transmissions, while accounting for the existence of only a limited set of orthogonal signals that can be used (which set of orthogonal signals may be much smaller than the set of network nodes that can cause interference to a base station or other network node which may be seeking to localize a target based on a desired sensing signal). The teachings of certain embodiments may improve the accuracy of environment sensing in an integrated sensing and communication system.

The present application relates to a neural network system, including at least: a multi-modal input neural network, configured to perform first encoding on multiple pieces of acquired environment sensing data corresponding to multiple input modalities to obtain multiple pieces of feature data for the multiple pieces of environment sensing data and perform first fusion on the multiple pieces of feature data to obtain fused multi-modal feature data; an encoder neural network, configured to at least perform second encoding on the multi-modal feature data to obtain multi-scale feature data, wherein the encoder neural network includes, for the multi-modal feature data, multiple stages respectively including at least two parallel branches for different resolutions; a decoder neural network, configured to decode the multi-scale feature data to obtain decoder output data; and a multi-modal output neural network, configured to obtain an environment sensing result when the decoder output data is used. The present application further relates to a training method, an environment sensing system and method, and a computer program product.

A method for off road driving, the method may include obtaining environment sensed information about an environment of a vehicle of a certain model, by one of more vehicle sensors of the vehicle and while driving over an off road path; detecting, by a machine learning process, an off road driving event; determining, by the machine learning process, a characteristic behavior of vehicles of the certain model when facing the off road driving event; and responding, at least in part by the machine learning process, to the occurrence of the off road driving event.

A control device may be configured to control an electrical load (e.g., an exhaust fan) for controlling an environmental characteristic (e.g., a humidity level) in a space. The control device an actuator received in an opening in a front surface of a bezel, which may comprise first and second side portions on each side of the actuator. The control device may comprise an environmental sensing circuit for sensing the environmental characteristic in the space, and a control circuit configured to control the electrical load in response to actuations of the actuator and / or the environmental sensing circuit. The bezel may comprise a ventilation portion on the first or second side portion of the front surface. The ventilation portion may have apertures extending from the front surface to a cavity in the bezel. The environmental sensing circuit may be configured to receive air from outside of the bezel via the cavity.

The present application discloses an intelligent robot. The intelligent robot includes: a robot main body, the robot main body includes a body, a protective side plate movably connected to the body, and a partition frame. The body and the protective side plate enclose a receiving cavity. The protective side plate is provided with a light-transmitting area. The partition frame is fixedly connected to the body and is received in the receiving cavity. The partition frame divides the receiving cavity into a first space and a second space. The first space is located on the side of the partition frame close to the light-transmitting area, and the second space is located on the side of the partition frame away from the light-transmitting area; an environmental sensing device, at least part of the environmental sensing device is installed in the first space, and the environmental sensing device can transmit and receive environmental sensing signals towards the light-transmitting area of the protective side plate within a preset scanning angle range; a control circuit board, the control circuit board is installed in the second space, and the second space is electrically connected to the environmental sensing device. The above structure can ensure the stable operation of the environmental sensing device and improve its service life.

The invention relates to a vehicle control technology, in particular to a device and a method for controlling opening of a vehicle door and a non-transitory computer readable storage medium storing a computer program for implementing the method. According to one aspect of the application, the provided device for controlling opening of the vehicle door comprises: an environment sensing unit configured to sense an environment state around the vehicle, the environment state describing at least one of the following attributes of an object near the vehicle door: a motion state, a shape, a size and a material; the control unit is configured to determine the opening mode of the vehicle door based on the environment state, the opening mode at least comprises a first mode and a second mode, and the environment risk corresponding to the first mode is smaller than the environment risk corresponding to the second mode; the executing mechanism is configured to enable the vehicle door to work in an opening mode, the executing mechanism comprises a damper used for blocking the vehicle door from being opened, and the damping force of the damper in the first mode is smaller than the damping force of the damper in the second mode.

A headlight is provided for a motor vehicle. The headlight includes: a light module, which includes a cornering light or illuminated lettering; an environment sensing element, which includes an optical environment sensor, a radar, or a camera; a housing; and a changing device. The housing has a region into which the light module or the environment sensing element is displaceable, and the changing device is configured to carry out a change between the light module and the environment sensing element in the region.

An example apparatus, computer-implemented method, and electronic device for determining an adjusted strength of a touch event at a mutual capacitance touch-sensitive surface are provided. An example apparatus includes a mutual capacitance sensing grid, having a plurality of electrode pairs, each with a transmitting electrode and a receiving electrode. The apparatus further includes a sensing grid controller coupled to the sensing grid and configured to determine an ambient sensing value for each electrode pair in an untouched state. The sensing grid controller is further configured to identify a touch event and a touch strength at the electrode pair based on a change in a sensing value. The apparatus is further configured to determine an adapted touch strength corresponding to the first electrode pair, based at least in part on the first ambient sensing value.

The present application relates to the field of intelligent control and photoelectric detection of aviation obstruction light, in particular to an aviation obstruction light adaptive dimming system based on wireless networking; the system comprises an environment sensing module, a feature coupling module, a control solving module and an adaptive driving module; the ambient light intensity value, the background environment color temperature value and the space scattering evaluation value are collected, the multi-dimensional light feature coupling compensation coefficient is solved, the background environment light comprehensive interference value is corrected and generated, and the target light source effective light intensity and its ratio are set as the dynamic ambient light signal-to-noise ratio; then the preset visual compensation model is input, the visual saliency maintenance index is solved and the dimming control instruction is generated, the driving current and the pulse duty cycle are adjusted, so that the visual contrast of the target light source is maintained within the preset safety interval, the present application can ensure the long-distance warning and recognition ability, suppress the near-distance glare and halo aggravation, and take into account the warning effect, thermal stability and device life.

The invention relates to a method and a device for online calibration of an environmental sensing system in a motor vehicle, the method comprising the following steps: during the vehicle's journey, the environmental sensing system continuously senses positioning data of objects in its surroundings and transmits them wirelessly to a calibration service, together with motion data of the vehicle; the calibration service has access to a road signature in the form of a digital map in which the positions of permanent stationary signature objects that can be sensed by the environmental sensing system are recorded along the road traveled by the vehicle, and filters the positioning data transmitted by the environmental sensing system according to the signature objects; based on the signature object positioning data and on the motion data, the calibration service tracks the vehicle's motion on the digital map; by comparing the signature object positioning data with the positions of the signature objects relative to the vehicle on the digital map, the calibration service calculates correction data that are indicative of calibration errors of the environmental sensing system and transmits them to the vehicle; the environmental sensing system recalibrates based on the correction data.

An mmWave radar system includes an mmWave radar sensor, an interactive device, and a control unit. The mmWave radar sensor is used to detect environmental data. The control unit is coupled to the mmWave radar sensor and the interactive device, and used to process the environmental data, and operate the interactive device according to the environmental data.

The application relates to a power generation equipment detection method and system based on a large model, which comprises the following steps: generating a power generation equipment detection task and an equipment detection time period in sequence through a preset power generation detection large model, selecting a power generation equipment detection personnel, setting a test detection task, and acquiring real-time environment sensing data; an estimated environment interference value of a target detection area in the equipment detection time period is generated according to the real-time environment sensing data; it is judged whether the estimated environment interference value is greater than or equal to a preset environment interference safety threshold value; if the judgment is yes, a detection task correction instruction is generated, and the power generation equipment detection personnel is prompted to adjust the detection time according to the detection task correction instruction. The application realizes the judgment of detection interference based on the actual environment, thereby improving the safety and feasibility of the detection task execution, and realizing efficient and high-safety power generation equipment maintenance.

Apparatuses and methods for an ambient sensing operation. A method of a network entity for the ambient sensing operation includes: receiving, from at least two sensor nodes comprising a first sensor node and a second sensor node, first information from the first sensor node and second information from the second sensor node; identifying a data model included in the first and second information, respectively; aggregating each of the data model included in the first and second information into a single data model, wherein the data model includes zone information, ambient context detection information, and sensor information; generating an event report based on the single data model; and transmitting the event report to a sensing analyzer.

The invention discloses an intelligent wearable device and method for relieving tremor. The intelligent wearable device comprises a wrist fixing part and a working part which are connected with each other. The wrist fixing component comprises a bracelet used for being fixed to the wrist of a user. The working component comprises a control unit, and a multi-mode sensing unit, a percutaneous sensory nerve stimulation unit and an environment sensing unit which are connected with the control unit. According to the technical scheme, the control signal is obtained through the mapping relation between the tremor mode and the stimulation parameters of the two-channel percutaneous stimulation model, the control signal is compensated according to the current scene information of the user and the current environment data, the adaptability is improved, and the tremor suppression effect is improved.

A system and method for distributed fiber-optic sensing (DFOS) event classification utilizing an energy-based generative artificial intelligence model. The method leverages a joint energy-based model (JEM) to ingest both human-annotated labeled sensing data and abundant unlabeled ambient sensing data collected from a DFOS interrogator. The joint energy-based model models the data distribution of high-dimensional spatial-temporal sensing signals, enabling semi-supervised classification that improves generalization, provides calibrated uncertainty estimates, and avoids domain-specific data augmentation constraints. The system further provides a test-time refinement mechanism utilizing Stochastic Gradient Langevin Dynamics (SGLD) updates in the input data space to remove the effects of sensor noise and recover discriminative classification accuracy upon deployment in pre-existing telecom cable networks.

Implementations can determine an ambient state that reflects a state of a user and / or an environment of the user based on an instance of sensor data. The ambient state can be processed, using an ambient sensing machine learning (ML) model, to generate suggested action(s) that are suggested to be performed, on behalf of the user, by an automated assistant. In some implementations, a corresponding representation of the suggested action(s) can be provided for presentation to the user, and the suggested action(s) can be performed by the automated assistant in response to a user selection of the suggested action(s). In additional or alternative implementations, the suggested action(s) can be automatically performed by the automated assistant. Implementations can additionally or alternatively generate training instances for training the ambient sensing ML model based on interactions with the automated assistant.

Some disclosed methods involve causing one or more loudspeakers in an audio environment to emit sound and receiving, from one or more microphones in the audio environment, microphone signals corresponding to an acoustic response of the audio environment to the emitted sound. Some disclosed methods involve detecting, by a control system, a change in an acoustic response of an audio environment. Some disclosed methods involve altering one or more aspects of media processing for media played back by one or more devices in an audio environment based at least in part on a change in an acoustic response of the audio environment. Alternatively or additionally, some disclosed methods may involve changing illumination in the environment, changing gain of one or more microphone signals, locking or unlocking one or more devices, or a combination thereof, based at least in part on a change in the acoustic response.

A sensor module for environmental sensing in an electronic system with a PCB. The sensor module includes a connector for mounting to the PCB that forms a pivotable connection to an interconnect. A sensor may be coupled to the interconnect at an end opposite the connector such that, by pivoting the interconnect relative to the connector, the height of the sensor above the PCB can be adjusted. The sensor module may include features that facilitate ease of use, including receptacles that each securely engages one or more leads of a sensor, a separable cover with openings sized to dictate the number of leads inserted into each opening; features that allow the interconnect to engage the connector in a single orientation and / or features that set the tilt angle of the interconnect relative to the connector.

A method for detecting surgical information is to be implemented by a wearable detection device. The wearable detection device is configured to detect a sensor chip that is disposed in a suture button for surgery. The method includes: detecting an ambient noise so as to generate an ambient sensing signal; detecting the sensor chip so as to generate a tension sensing signal; subtracting the ambient sensing signal from the tension sensing signal so as to generate a plurality of tension differences corresponding respectively to a plurality of scanning frequencies; and selecting one of the plurality of scanning frequencies that corresponds to a largest one of the plurality of tension differences as a resonance frequency, and obtaining a suture tension value based on the resonance frequency.

To provide a wearable device and a signal processing method that can establish SPD (sound generating driver / device for true wireless stereo earphones)-ASM (ambient sensing microphone) separation.SOLUTION: A wearable device 10 includes a sound generating device 102 and a sound sensing device 107. During sound generation, the sound generating device generates a forward radiating wave through a front channel 109 via a front port 103 and a rear radiating wave through a rear channel 108 via a rear port 106. The sound sensing device is positioned at a nodal position where the forward radiating wave and the rear radiating wave cancel each other out at the nodal position.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a method for executing repositioning, a positioning device and a computer readable storage medium. The method comprises the following steps: executing SLAM (Simultaneous Localization and Mapping) to obtain a plurality of first key frames, and sensing first environment sensing information corresponding to each first key frame when each first key frame is obtained; when the positioning device executes the repositioning mechanism, sensing current environment sensing information, and at least comparing the current environment sensing information with the first environment sensing information corresponding to each first key frame to find out at least one second key frame from the plurality of first key frames; and performing a relocation mechanism based on the at least one second key frame.

The invention provides an air conditioning box detection system and an operation method thereof, and the operation method comprises the following steps: an arithmetic device obtains a set target value, and the value domain of the set target value comprises a plurality of intervals; the environment sensor collects an actual target value of an operating environment of the air conditioning cabinet. The calculation device calculates a control target value on the basis of one of the plurality of sections corresponding to the actual target value and the conversion function, and sets an adjustable element of the air conditioning cabinet on the basis of the control target value. The element sensor collects an actual control value when the air conditioning cabinet operates. The arithmetic device generates data points of a two-dimensional residual analysis chart according to a difference between a set target value and an actual target value and a difference between a control target value and an actual control value. When the data point is located in the warning range, the arithmetic device sends out warning information.

A Live Inventory System and Process for use with an active object storage structure, such as a refrigerator (11 A, 11 B). The disclosed System and Process includes a method for dynamically identifying an object being placed in or taken out of a refrigerator, the method comprising: detecting a motion of an object at the refrigerator using one or more sensors coupled with the refrigerator or sensing a refrigerator open condition (11 A, 11 B); acquiring one or more images of at least a part of the object as the object is being placed inside the refrigerator or removed from the refrigerator (11 A, 11 B); and using the acquired images, tracking the motion of the object, determining a direction of the motion of the object, and identifying the object using a trained ML (Machine Learning) model, the ML model trained, at least in part, using a crowd-based training method including acquisition of images from other refrigerators (36).

The invention provides a system and method for supporting evolved band supervision. A base station may send an indication of a frequency sub-range supported by the base station to a user equipment, which may respond with the indication of a frequency sub-range also supported by the user equipment. Additionally, a spectrum access system (SAS) controller may determine whether a non-federated network is disposed in a coverage area and an adjacent coverage area of a base station using an environmental sensing capability sensor. If so, the SAS may instruct the base station to send an indication to a user equipment in the coverage area to operate using a default power mode. Otherwise, the SAS may instruct the base station to send an indication to the user equipment to operate in a lower power mode. Further, the base station may indicate a regulatory requirement to the user equipment using a network signaling value of the plurality of network signaling values corresponding to the plurality of regulatory requirements for the plurality of geographic areas.