11 results about "Sensor hub" patented technology

A system and a method to wirelessly synchronize, monitor, or communicate, or a combination thereof, amongst sensors (e.g., sensors, hubs, sensor controllers, etc.) in a Bluetooth Low Energy-based microlocation system. The system or method, or both, may use the BLE hardware (e.g., transmitters, receivers, antennas, etc.) to interleave a communications protocol within the connection interval gaps of the BLE protocol used to communicate with devices.

This invention discloses a cockpit-driving fusion redundancy system and method based on dynamic resource scheduling. The system includes an intelligent driving domain controller, an intelligent cockpit domain controller, environmental perception sensors, an intelligent sensor hub, a shared memory pool, and a dynamic resource scheduling kernel. The intelligent sensor hub sends sensor data to the intelligent driving domain controller and the intelligent cockpit domain controller via a first data channel (raw data) and a second data channel (feature data), respectively, achieving perception redundancy. The intelligent driving domain controller writes the intermediate perception feature data generated during processing into the shared memory pool. The dynamic resource scheduling kernel virtualizes the computing resources of the two domain controllers into a unified resource pool and triggers resource reallocation when an anomaly is detected in the intelligent driving domain controller, dynamically scheduling computing power to the intelligent cockpit domain controller. This invention solves the problems of single perception dimension, high takeover latency, and low resource utilization in existing redundancy schemes, achieving seamless and secure takeover with high reliability, low latency, and high resource utilization.

An apparatus can include a sensor hub couplable to a head-mounted display (HMD), the sensor hub including sensors and light sources. The apparatus can further include a processor configured to generate, by activating the plurality of light sources, a constellation including a set of illuminated points, receive a first set of images captured by a camera of the HMD, the first set of images including a portion of the constellation and an environment near the HMD from a first perspective, receive a second set of images capturing the environment from a second perspective, identify a subset of illuminated points, determine position information of the sensor hub, and modify the second set of images based at least in part on the position information of the sensor hub to produce a modified second set of images showing the second portion of the environment modified to be from the first perspective.

A medical device system for providing sensor data capture includes a medical device that may include one or more removably coupled sensor hubs and that includes a display to provide sensor data and at least one data interface (DI) port that may be a sensor-agnostic DI (SA-DI) port and a data transfer cable that may be compatible with the sensor-agnostic DI port and includes a first electromechanical connector configured to detachably couple to the SA-DI port and a second electromechanical connector configured to couple to the sensor and that includes a cable memory and processor configured to execute stored software to format sensor data according to a protocol of the SA-DI port, an authentication circuit, and a cable isolation device to limit patient leakage current flow from the medical device to the sensor and to electrically isolate the authentication circuit from the cable processor and the cable memory.

The invention relates to an intelligent scene perception method and system based on a time sequence scene classification model. The method comprises the following steps: obtaining multi-dimensional data from a user behavior, an application framework layer, a sensor center and a system state; slicing the multi-dimensional data according to a time window, and fusing and converting the multi-dimensional data into feature vectors; performing scene recognition processing on the feature vector by adopting a double-layer hybrid model to output a clear scene, and performing strategy matching on the output clear scene based on a preset scene-strategy mapping table; by means of the method, through machine learning and behavior analysis, automatic recognition of user use scenes and intelligent adjustment of system parameters are achieved, the system can not only recognize the current scene, but also predict possible scene changes, resource preparation is conducted in advance, and the user experience is improved. The tedious problem that a traditional system needs to be manually adjusted and set by a user is solved.

Systems and methods for multimodal monitoring of physiological conditions are disclosed. The systems include a sensor hub that can detect a presence of sensor devices in its environment. The sensor devices are configured to sense a parameter relevant to patient fluid inflow or outflow. The sensor hub associates at least a subset of the detected sensor devices with a patient profile and determines parameters relevant to patient fluid inflow or outflow that the associated sensor devices are capable of sensing. Based on the determined parameters, the sensor hub enters a mode of multimodal monitoring, activates sensor streams from the associated sensor devices in accordance with the mode of multimodal monitoring, establishes a secured communication channel with a patient medical record system, and transmits an update to the patient medical record system based on data received from the sensor streams.

Embodiments of the present application provide a data transmission method and related apparatus, and relate to the technical field of terminals. The method is applied to an electronic device, the electronic device comprising a first secure environment TEE, a smart sensor hub, a non-secure environment REE, a client application CA running in the non-secure environment REE, and a first trusted application TA running in the first secure environment TEE. The method comprises: the client application CA indicating first information to the first trusted application TA, the first information being used to indicate target data of the first trusted application TA; and the first trusted application TA transmitting the target data of the first trusted application TA to the smart sensor hub in response to the first information. In this way, the communication mode of the trusted application TA can be enriched.

The invention relates to a wireless sensing and control system based on Bluetooth Mesh and Modbus RTU / TCP integration. The wireless sensing and control system comprises at least one sensor, at least one wireless communication module and at least one wireless communication module, the virtual MODBUS TCP server is provided with at least three nodes of a Bluetooth Mesh architecture, and each node is in communication connection with the at least one sensor through an MODBUS RTU (Remote Terminal Unit); the handheld device is in communication connection with one node of the virtual MODBUS TCP server; and the sensor hub is in communication connection with the virtual MODBUS TCP server through an MODBUS TCP (Transmission Control Protocol). Therefore, the broadcast signal of the Bluetooth Mesh is used for receiving and transmitting the data from the non-electric switch and the non-electric sensor, and meanwhile, the MODBUS RTU data is converted and transmitted to the MODBUS TCP network, so that the wireless communication of a large-scale network is realized.

A sensor system for a structure comprises a sensor node in force transmitting contact with an impact receiving surface of a structure envelope of the structure. The sensor node is configured to generate first sensor data associated with the structure envelope of the structure and perform a first set of operations to filter out unwanted data from the first sensor data to form a first filtered dataset. The sensor system includes a sensor hub in communication with the sensor node. The sensor hub is configured to receive the first filtered dataset from the sensor node and perform a second set of operations on the first filtered dataset to identify an event experienced by the structure envelope that caused the sensor node to produce the first sensor data.

The embodiment of the invention provides electronic equipment and a service processing method, and relates to the technical field of terminals. The electronic equipment comprises an AP, a sensor hub, a low-power-consumption processor, a first-type sensor, a second-type sensor and a microphone. The sensor concentrator is connected with a first type of sensors through an SPI standard interface and reads data of the first type of sensors; connecting with a second type of sensors through an I2C standard interface, and reading data of the second type of sensors; a DMIC standard interface is connected with the microphone to read data of the microphone; the low-power-consumption processor is used for monitoring data transmitted between the low-power-consumption processor and the first-type sensor through the SPI monitoring interface, monitoring data transmitted between the low-power-consumption processor and the second-type sensor through the I2C interface, monitoring data transmitted between the low-power-consumption processor and the microphone through the DMIC monitoring interface, processing the monitored data to obtain processing result data, and transmitting the processing result data to the microphone. And the processing result data is fed back to the AP and / or the sensor hub. The problem of insufficient storage space can be solved.

The invention discloses an intelligent turning-over cushion for preventing pressure sores and a using method thereof, and particularly relates to the field of intelligent nursing equipment and artificial intelligence. The intelligent turning-over cushion is flatly laid on a sickbed or a mattress, and it is ensured that one face of a sensing layer located below the surface layer of a cushion body faces upwards and makes contact with a human body in a pressure sensor array area; the middle part of the cushion body covers the trunk of a patient from shoulders to buttocks, and a sensor hub plate at the edge of the tail part of the cushion body is exposed out of the bed tail to avoid extrusion; the turning-over mechanism driving bin is located in a rigid area below the middle of the mattress body and attached to the bed board; the waterproof storage box on the side face of the cushion body is fixed to the bed edge through the hook-and-loop fasteners and is close to one side of the hand of a patient. Folding and unfolding an infrared 3D sensor bracket of the sensing layer, fixing the infrared 3D sensor bracket above a bed head, and aligning to a trunk area of a patient; the intelligent turning-over mat automatically recognizes the posture without manual setting, the turning-over angle is individually adapted, deep sleep is not disturbed, and remote monitoring and fault prompting are supported.