Abstract: A door access control system with a temperature detection function includes an infrared body temperature monitor device configured to detect a body temperature of a monitored object; a body temperature comparison device configured to compare a detected body temperature of the monitored object with a body temperature threshold; and a warning device configured to issue a warning message in response to the detected body temperature of the monitored object being higher than the body temperature threshold.

Abstract: An affixable device can include a locking mechanism, a force-limiting mechanism, and a sensing mechanism. The locking mechanism can include an engagement component configured to disable the locking mechanism. The force-limiting mechanism can be configured to limit a locking force of the locking mechanism. The sensing mechanism can be coupled to the engagement component, and can be configured to determine that the force-limiting mechanism has limited the locking force of the locking mechanism. In response to determining the force-limiting mechanism limiting the locking force, the sensing mechanism can cause the engagement component to disable the locking mechanism.

Abstract: Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Abstract: A anti-theft device with a remote alarm feature is provided. The device is configured to attach to an item of retail merchandise and detect when a predetermined motion and light condition are met which together are indicative of a potential retail theft. Upon detection, the device is configured to generate a local alarm, and send a radio frequency to a remote device to generate an alarm at the remote device.

Abstract: A vehicle lighting system includes a light assembly and an electronic controller. The light assembly includes one or more lights configured to illuminate an external area that is in a vicinity of the vehicle. The electronic controller is programmed to receive a battery status signal from a battery of the vehicle. The electronic controller is further programmed to control the light assembly to illuminate the one or more lights to display a status of the battery when the vehicle is in a predetermined condition. The predetermined condition is at least one of a condition in which a remote electronic device is within a vicinity of the vehicle, a condition in which the vehicle has transitioned from a locked state to an unlocked state, and a condition in which the vehicle is about to be transitioned from the locked state to the unlocked state.

Abstract: The present application provides a method and apparatus for evaluating the health state of a distribution transformer, and a medium and a program. In an embodiment, the method for evaluating the health state of a distribution transformer includes: extracting features from electric power parameters of a plurality of distribution transformers; clustering the plurality of distribution transformers into M subsets based on the extracted features, M being a natural number greater than 1 and less than a number of the distribution transformers; and respectively executing processing for each of the M subsets. In an embodiment, the processing includes determining a cluster center of the subset as a reference transformer for the subset; calculating the similarity between each of the distribution transformers in the subset and the reference transformer therein; and sorting the distribution transformers in the subset according to the calculated similarity.

Abstract: A diagnostic tool includes a sensor for capturing at least one biosignal produced by a patient's heart and a computer device that implements a neural network iteratively trained via machine learning to generate a prediction about a heart condition of the patient. After the neural network is trained, the computer device can convert the at least one biosignal to a multi-dimensional input matrix for the deep neural network generated from a number (N) of biosignals captured by the sensor. The computer device then processes the multi-dimensional input matrix through the deep neural network, which subsequently outputs the prediction about the heart condition of the patient.

Abstract: A method of estimating a body temperature of an individual based on physiological data including a heart rate received from at least one sensor 510 and received environmental data. The physiological data and the environmental data are inputted into a model present on a processor 520. The model generates an estimated body temperature and an estimated physiological condition based on the inputs. The processor 520 compares the estimated physiological condition to a measured physiological condition in the physiological data. A controller 530 modifies at least one parameter in the model when the difference between the estimated physiological condition and the measured physiological condition is above a threshold.

Abstract: The invention relates to a method of detecting symptoms of peritonitis, wherein the method comprises the following steps: taking a photo of a drainage solution and/or of a catheter exit site using a smartphone and/or inputting at least one query parameter which is input by a patient through the input zone of a smartphone; and, evaluating the photo and/or the query parameter.

Abstract: The embodiments herein relate to Sx protocol extension to support node PDR. In one embodiment, there proposes a method (500) in a first network node (301) configured as control plane function (CPF). The first network node (301) is coupled to a second network node (302) configured as user plane function (UPF) via an Sx interface. The method (500) comprising transmitting (S501) a message associated with a Packet Detection Rule (PDR) to the second network node (302) via the Sx interface, wherein the PDR is applicable to more than one Sx session. With embodiments herein, the CPF-UPF signaling throughput can be minimized significantly, and the memory footprint per Sx session can be decreased.

Abstract: As described herein, a system, method, and computer program are provided for proactive 5G leg estimation. During an initial access procedure by a user equipment on a 4G leg of a 4G-LTE network, an eNodeB of the 4G-LTE network computes a parameter for the user equipment. Further, the eNodeB of the 4G-LTE network conditionally allows an addition of a 5G leg to the 4G-LTE network for the user equipment, based on the parameter computed for the user equipment.

Abstract: An embodiment of the invention provides a method of estimating a body temperature of an individual where physiological data is received from at least one sensor 510. Environmental data is received and the physiological data and the environmental data are input into a model. The model generates an estimated body temperature and an estimated physiological condition based on the physiological data and the environmental data. A processor 520 compares the estimated physiological condition to a measured physiological condition in the physiological data. A controller 530 modifies at least one parameter in the model when the difference between the estimated physiological condition and the measured physiological condition is above a threshold.

Abstract: The present invention provides a human-computer interactive rehabilitation system, which can automatically calculate rehabilitation strength suitable for the patient, so that it is not necessary to manually evaluate and adjust the parameter settings in human-computer interactive rehabilitation system when different patients use it. At the same time, the human-machine interactive rehabilitation system and the hospital end can track the rehabilitation status and intervene through the data platform at any time. The platform establishes a cloud community feedback and encouragement mechanism, and immediately transmits the rehabilitation results to the designated barriers of the patients, provides patient encouragement feedback, and strengthens the community interaction and linkage in the medical relationship.

Abstract: A steering assembly and a system for actuating a vehicle horn uses a grounding signal transmitted from the steering assembly to an electronic control unit in communication with an electronically actuated horn. The steering assembly includes a base plate connected to a hub in the steering assembly. At least one horn grounding switch is coupled to the base plate and has a ground contact generating an output from the horn grounding switch. The ground contact is movable between a normally closed position connected to the vehicle electrical ground that corresponds to the off status of the vehicle horn and an open position disconnected from the vehicle electrical ground that corresponds to the on status of the vehicle horn. A biasing force directs the ground contact to a normally closed position in electrical communication with the vehicle electrical ground.

Abstract: Embodiments of the present disclosure provide methods and devices for accessing a network hotspot device by an unconfigured device. The network hotspot device is configured to create a first hotspot and a second hotspot. The method can include reporting, by the unconfigured device, device information of the unconfigured device to one or more network hotspot devices through the first hotspot of the one or more network hotspot devices for sending the device information to a server.

Abstract: A skin diagnostic device is provided that includes a body including a coupling member positioned on one surface, the body being attached/detached to/from an electronic device including an image sensor by using the coupling member, an optical unit positioned in the body and including at least one lens, wherein the optical unit is configured to focus measurement light reflected from a target on the image sensor of the electronic device, and at least one light source unit positioned adjacent to the optical unit and configured to irradiate light toward the target, wherein the coupling member includes at least one magnetic body and an alignment member positioned adjacent to the magnetic body.

Abstract: An electronic device comprises: a detection unit configured to detect movement of a person; and a control unit configured to, in a case where the detection unit detects a first movement of the person, control an operation unit such that the operation unit is changed from a first state to a second state and maintains the second state for a first predetermined period, wherein, in a case where the detection unit detects a second movement of the person in a predetermined detection period spanning from before an end time of the first predetermined period until after the end time, the control unit controls the operation unit such that the operation unit maintains the second state until an end of a second predetermined period changed from the first predetermined period according to an aspect of the second movement.

Abstract: A diagnostic system is provided for classifying a soft tissue condition within a region of interest of a subject. The diagnostic system comprises a spectrometer system configured to irradiate a soft tissue within a region of interest of a subject, and configured to generate spectral data by acquiring at least a portion of the reflected or emitted light from the region of interest. The diagnostic system further comprises a thermal detection system including at least one thermal sensor that is configured to acquire thermal detection data from the region of interest. A computer system is then used to build a classification model based on input thermal detection and spectral data. The classification model is then applied to an unknown soft tissue condition to classify the condition (e.g., classifying cellulitis from pseudocellulitis).

Abstract: The present invention relates to a device, system and method for determining the core body temperature of a subject. To enable continuous core body determination without having to place or direct a sensor at a precise position of the subject's body, the device comprises an image data input (31) for obtaining image data (11) of a subject's skin, a thermal sensor data input (32) for obtaining thermal sensor data (21) of the subject's skin, an image analysis unit (33) for deriving photoplethysmography, PPG, signals from the obtained image data and for detecting one or more skin areas (34) having the strongest PPG signals, and a temperature determination unit (35) for determining the core body temperature (36) of the subject from obtained thermal sensor data for the detected one or more skin areas.

Abstract: A monitoring system that includes an infrared detector comprising a field of view that detects temperature data from the field of view and provides a signal indicative of at least a detected temperature of a subject. The system includes a tab comprising a tab temperature that is positioned within the field of view such that the infrared detector detects the tab and emits a signal indicative of a detected temperature of the tab. The system includes a temperature sensor secured to the tab that detects the tab temperature and provides a signal indicative of a reference temperature. A control unit is communicatively coupled to the infrared detector and the temperature sensor and computes a net value between the detected temperature of the subject and the detected temperature of the tab. The control unit calculates a core temperature of the subject by combining the net value with the reference temperature.