Abstract: The vehicle tracking system includes a vehicle tracking sensor system that provides a tentative vehicle number to a vehicle detected by a sensor and outputs a signal including the tentative vehicle number, absolute-coordinate-system positional information of the detected vehicle, and edge computing that replaces the tentative vehicle number by a vehicle number outputted from a vehicle number management PC, when the vehicle completes parking.

Abstract: An application user is granted access to one or more applications that provide the user with information and assistance. Altitude and/or motion data is collected from one or more devices associated with the user, and the device altitude and/or motion data is utilized to identify physical activities being performed by the user. The device altitude and/or motion data is further analyzed to determine physical activity count data, physical activity speed, velocity, and/or acceleration data, and physical activity length data. The physical activity data is then analyzed to identify and monitor changes or anomalies in the physical and/or psychological state of the user using baseline physical activity data. Upon identification of changes or anomalies in the user's physical and/or psychological state, one or more actions are taken to assist the user.

Abstract: A method for reducing a threat footprint for an area-of-interest by, determining a base risk score for an area-of-interest, deriving a graphical representation of the area-of-interest and one or more defense strategies for the area-of-interest, training an adversarial reinforcement learning agent to identify one or more successful attack paths on the graphical representation of the area-of-interest that are effective in bypassing the one or more defense strategies for the area-of-interest, determining an active risk score based upon the one or more successful attack paths identified by the adversarial reinforcement learning agent and determining one or more mitigation actions that will reduce the active risk score for the area-of-interest based upon the base risk score and one or more predetermined resource constraint.

Abstract: A process fluid temperature transmitter includes a plurality of terminals, an excitation source, a measurement device, and a controller. The plurality of terminals is couplable to an RTD. The excitation source is operably coupled to the plurality of terminals and is configured to apply an excitation signal to the RTD. The measurement device is coupled to the plurality of terminals and is configured to measure a response of the RTD to the applied excitation signal. The controller is coupled to the excitation source and the measurement device. The controller is configured to perform an RTD resistance measurement by causing the excitation source to apply the excitation signal to the RTD and to cause the measurement device to measure the response of the RTD while the excitation signal is applied to the RTD.

Abstract: A method and system for training a fall detection classifier using subject-specific movement data. Movement data responsive to a subject's movements during everyday activities are obtained over a predetermined data collection period. For each detected event in the movement data, values for one or more parameters that may (together or individually) indicate a fall are obtained. The obtained values are used to generate a subject-specific probability distribution for non-fall events. A fall event probability distribution is obtained using the non-fall event probability distribution. This fall event probability distribution can then be subsequently processed, with reference to a threshold value, to distinguish fall events from non-fall events.

Abstract: Apparatuses and methods for monitoring vital signs. Movement data for a selected body location of a person in a vehicle is generated using a movement sensor positioned remotely with respect to the person. Input data is formed for a machine learning system using the movement data. The input data is processed using the machine learning system to remove noise from the input data and generate a target output that identifies a vital sign of the person.

Abstract: An occupant monitoring apparatus, system and method capable of monitoring an occupant of an occupant support or space. The apparatus, system and method utilizes a variable capacitance sensor and control unit to monitor, record and compare signals as a means of monitoring an occupant, a support or a space.

Abstract: Optimizing and/or personalizing activities to a user through artificial intelligence and/or virtual reality.

Abstract: Airport gate visual docking guidance system digital twin methods, systems, and devices are described herein. One method includes: identifying that a device of the visual docking guidance system is non-responsive, determining which device is non-responsive, initiating start-up of one visual docking guidance system program selected from: a visual docking guidance system software program, a central computing system program, or an operating station program, selecting a digital twin data set corresponding to the device of the visual docking guidance system that was non-responsive, wherein the set includes parameter data that was customized by a user of the visual docking guidance system and is particular to the device of the visual docking guidance system that was non-responsive, and sending the digital twin parameter data to the device of the visual docking guidance system that was non-responsive to update one or more parameters stored in association with the visual docking guidance system program.

Abstract: The embodiment, herein disclose a method of handling critical events in IoT environment comprising a plurality of IoT devices and an at least one UWB sensor. The method comprises detecting an occurrence of an event using the UWB sensor; validating the event using at least one IoT device from the plurality of IoT devices located in vicinity of the event; determining a critical level of the event based on at least one of a presence of a user or a device data of the at least one IoT device located in a vicinity of the event; generating an action recommendation for the at least one of the user or the at least one IoT device based on the criticality level of the event.

Abstract: Example aspects include techniques for building a ML model in a use case with prohibitive training data and employing the ML model within the use case. These techniques may include determining training information including a plurality of stray training reads and a plurality of valid training reads, determining modified training information based at least in part on modifying the plurality of valid training reads, and generating a model for distinguishing a valid read from a stray read based on the modified training information and an evolutionary algorithm. In addition, the techniques may include detecting, by a monitoring device, a plurality of tag reads in response to a plurality of interactions between a tag and the monitoring device, and determining, by the monitoring device, a plurality of valid tag reads based on the model and plurality of tag reads.

Abstract: Methods, computer-readable media, systems, and/or apparatuses for providing offer and output generation functions are provided. For instance, a request for an output may be received by a device. In response, user physical trait data, pre-stored data, location data, and the like, may be extracted and received from a plurality of sources. Machine learning may be used to analyze the data to predict one or more factors associated with the user and the output or offer may be generated based on the predicted factors.

Abstract: Systems and methods for predicting a location of a target vehicle are disclosed. A processor receives trajectory information for the target vehicle and determines a trajectory feature based on the trajectory information. The processor further determines a lane feature of a lane within a threshold vicinity of the target vehicle, and determines a probability associated with the lane based on the trajectory feature and the lane feature. The lane that the vehicle may enter is identified based on the probability. The processor may also generate interactive features of interactions between the target vehicle and other vehicles. The processor predicts a location of the target vehicle in an upcoming time period based on the lane feature and the trajectory feature. In some embodiments, the interactive features are also used for the prediction.

Abstract: A monitoring device, including an encasement having an upper part and a lower part; wherein the lower part is attached by a hinge at a first side of the encasement to the upper part; wherein at an opposite side the upper part can be lowered onto the lower part to close the encasement or lifted up to open the encasement; an elongated strap with a first end and a second end wherein the first end of the strap is attached to the first side of the encasement and configured to enable coupling the monitoring device to a person by wrapping the strap around a limb of a person, and inserting the second end of the strap into the opposite side of the encasement onto the lower part and covering it with the upper part.

Abstract: A parking meter detects an object in proximity, based on a change in a proximity measurement at the meter, activates a directional sensor in response to detecting the object, receives sensor data at a meter processor from the directional sensor, wherein the received sensor data indicates a predetermined direction to the detected object relative to the meter. The parking meter determines a presence of the object, or lack thereof, in the predetermined direction based on the sensor data, and upon a positive determination of the presence of the object, stores an indication of the presence of the object along with a time of the positive determination.

Abstract: A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

Abstract: Systems and apparatuses for generating customized driving assistance outputs are provided. The system may collect initial sensor data from a rotating mobile device. The system may analyze the initial sensor data to determine whether to collect additional sensor data. Based on analysis of the initial sensor data and the additional sensor data, the system may determine a customized driving assistance output. The system may determine one or more notification outputs and one or more instruction outputs for the driver based on the customized driving assistance output. The system may update an aggregate driving output based on whether or not the instruction output was completed, as determined from subsequent sensor data.

Abstract: The disclosed embodiments relate to a computer-based system and/or method which automatically, e.g. with minimal, or entirely without, human intervention, identifies, distinguishes, disambiguates or otherwise differentiates among multiple configurable bicycles based on the data reported to the system from the bicycle's data-reporting components, such that the data reported by those components may be associated with a particular bicycle for real-time and/or later review, analysis, etc. More particularly, where one or more data reporting components of a bicycle may change, the disclosed embodiments enable a data gathering system/service to identify, distinguish, disambiguate or otherwise differentiate among multiple bicycles which may use, or have used, one or more of the same components so as to associate the reported data, such as from a particular ride, with the correct bicycle configuration for real-time and/or later review and/or analysis.

Abstract: The disclosed wearable device systems include several features for alerting and guiding persons who are approaching or near to potentially hazardous or high-risk conditions in their nearby environment. Sensor data from wearable devices (also referred to herein as “wearables”) are used to determine the presence of various unsafe environmental conditions and phenomenon, including dangerous terrain or other unusual conditions. The wearable would be used to warn a person, for example via auditory or haptic-based feedback, if the person is about to encounter an unsafe condition. In particular, the proposed systems can be of great benefit to the visually impaired, those persons with physical disabilities, or persons otherwise vulnerable to particular environmental conditions.

Abstract: In an exemplary embodiment, a system is provided that includes a sensor, a computer memory, and a processor. The sensor is configured to be disposed on a vehicle, and is configured to obtain sound or vibration data for the vehicle. The computer memory is configured to store a plurality of known signatures pertaining to a plurality of different types of vehicle theft events. The processor is configured to: compare a signature of the data with the plurality of known signatures stored in the computer memory; and determine whether a vehicle theft event is occurring based on the comparing of the signature of the data with the plurality of known signatures.