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.

Abstract: An example method to reconfigure power modes of a communication device includes operating the communication device in a first power mode. The method includes receiving a power mode reconfiguration command from a server that instructs the communication device to operate in a second power mode that is different than the first power mode. The method includes, in response to receiving the power mode reconfiguration command, terminating operation of the communication device in the first power mode and operating the communication device in the second power mode. A communication device with reconfigurable power modes may include an MCU, a processor (e.g., CPU) communicatively coupled to the MCU, and a non-transitory computer-readable medium communicatively coupled to the processor. The non-transitory computer-readable medium has instructions stored thereon that are executable by the processor to perform or control performance of the foregoing method.

Abstract: A vehicle includes one or more cameras that capture a plurality of two-dimensional images of a three-dimensional object. A light detector and/or a semantic classifier search within those images for lights of the three-dimensional object. A vehicle signal detection module fuses information from the light detector and/or the semantic classifier to produce a semantic meaning for the lights. The vehicle can be controlled based on the semantic meaning. Further, the vehicle can include a depth sensor and an object projector. The object projector can determine regions of interest within the two-dimensional images, based on the depth sensor. The light detector and/or the semantic classifier can use these regions of interest to efficiently perform the search for the lights.

Abstract: A work detection determination system performs detection determination on a work with high accuracy.

Abstract: A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few. Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.

Abstract: The present disclosure provides a collection device capable of collecting a virus or the like effectively. The collection device according to the present disclosure is an autonomous collection device (2) for collecting an object having an analyte and moisture from a floor surface. The autonomous collection device (2) comprises a drying part (18) for drying the object, a suction opening (36) for suctioning the object dried by the drying part, and a dust container (12) for storing the object suctioned from the suction opening.

Abstract: A building monitoring system includes a sensor configured to sense a condition and collect sensor data related to the sensed condition. The building monitoring system also includes a server configured to receive the sensor data. The server is configured to analyze the sensor data to detect an undesirable condition and a threat from the undesirable condition within a structure and automatically issue a notification upon detection of the undesirable condition and the threat.

Abstract: In accordance with an aspect of disclosure, the vehicle includes a first sensor configured to measure a distance to an object; a second sensor configured to measure a temperature of the object; a camera configured to acquire an image of the object; and a controller configured to activate the second sensor when the distance to the object measured by the first sensor satisfies the condition for performing heat detection, and activate the camera when the temperature of the object measured by the second sensor satisfies a condition for performing facial recognition.

Abstract: An information processing method performed using a computer includes: obtaining first vehicle information from a vehicle that is a monitoring target of a monitor, the first vehicle information indicating at least one of a running state and an external state of the vehicle; determining a monitoring priority level of the vehicle according to a degree of request for monitoring the vehicle by the monitor, the degree being based on the first vehicle information; generating presentation information for monitoring the vehicle, based on the monitoring priority level; and causing a presentation device to output the presentation information.

Abstract: In a magnetic marker system including a magnetic marker disposed in a travel environment so as to be detectable by a magnetic sensor attached to a vehicle and a server apparatus which acquires detection information of the magnetic marker from each vehicle, the detection information uploaded from a vehicle side to the server apparatus includes marker information, which is identification information of a corresponding magnetic marker, and the server apparatus estimates the state of the magnetic marker based on the detection information from each vehicle.

Abstract: An information processing method, performed by a computer, includes: obtaining second situational information related to a situation of at least one of a vehicle or surroundings of the vehicle at a second time point subsequent to a first time point; determining recommended content related to vehicle monitoring recommended to a second monitoring agent by inputting the second situational information to a trained model obtained by machine learning in which first situational information and a first monitoring result which is a result of monitoring by a first monitoring agent based on the first situational information are used, the first situational information being related to a situation of at least one of the vehicle or the surroundings of the vehicle at the first time point; generating presentation information for vehicle monitoring based on the recommended content determined; and causing a presentation device to output the presentation information.

Abstract: A system for monitoring core body movement comprises a sensor device for collecting a data set representing a plurality of core body movements over time from a monitoring device; a processor for determining a plurality of risk scores from the data set; and an output device for indicating the risk scores.