Abstract: An integrated disease management system provides patients with simple, quick, and readily available counseling regarding a healthy diabetic lifestyle. The system can include an interactive engine with predictive analytics and machine learning to provide a customized experience for a user. The system can be configured to transmit data to a remote server to perform analysis of received data (e.g., disease management data), to provide feedback to the user (e.g., customized feedback with curated content based on a user's data and interface interactions), and send all or a portion of the data and/or curated content to another user device or remote health management access point (e.g., as cloud storage) where the information can be accessed by healthcare stakeholder.

Abstract: An apparatus for the continuous monitoring of a pipeline or a pipeline network carrying flowing media that can not only detect the presence of a leak but also locate the source of the leak through the use of rarefaction wave detection and a method of using the same is disclosed within. The apparatus and method are specifically configured to locate the leak source within less than 36 inches using a calibration means and a noise cancellation means.

Abstract: Valuables transport bag tampering detection and controlled triggering of smoke dispenser in response to said detection. Additionally, techniques are addressed to pair a valuables transport bag with a user fob or user fobs in response to a pairing control signal from a supervisory fob. With a valuables transport bag having a zipper closure, techniques to issue proper zipper closure and detection of such closure are also addressed.

Abstract: An environment access control system that includes an operating environment including one or more access controlled locations, each of the location(s) secured with at least one entry point. Also included is a plurality of wireless signal generating devices each emitting a wireless signal to be received by a mobile device located within the operating environment. Further included is a network device determining a position of the mobile device and comparing the position of the mobile device to the at least one entry point to provide a simplified access request option to a user of the mobile device, the network device determining access to the one or more access controlled locations of the operating environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for automated contact tracing using multiple data sources. In some implementations, a system uses location data generated based on one or more types of signals, such as GPS signals, WI-FI signals, signals from cellular base stations, signals from short-range wireless technology (e.g., BLUETOOTH), and so on. The system also prompts users for information regarding their locations and the conditions present at the locations, either at the time a user is present or later. With this information, the system compares the tracked locations for different individuals to identify instances of contacts in which criteria for disease transmission potential are met, e.g., when two individuals have certain levels of proximity and timing. Detected instances of contacts can be used to inform individuals of exposure to a disease, as well as to notify public health authorities.

Abstract: A swimmer safety monitor apparatus for allowing adults to monitor swimming children's safety to prevent drowning includes a transmitter body and a strap coupled to the transmitter body to secure the apparatus on a user's wrist. A transmitter display is coupled to a body front side of the transmitter body. A CPU is coupled within the transmitter body and is in operational communication with the transmitter display. A battery, a biometric sensor, a power button, a panic button, and a transceiver are coupled to the transmitter body and are in operational communication with the CPU to communicate with a personal electronic device to send vitals from the biometric sensor and alerts from the panic button.

Abstract: System, methods, and other embodiments described herein relate to improving event management in a vehicle by aggregating information sources. In one embodiment, a method includes selecting unfiltered events, from a stream of events that are classified and filtered, and a display medium according to a decision policy associated with an operator. The method also includes communicating the unfiltered events selected for the display medium. The method also includes adapting the decision policy according to collected tracking information of operator attention associated with the unfiltered events and reward values associated with the tracking information.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: In some examples, systems, methods, and devices are described that generate contextual suggestions for patients. Generation of the contextual suggestions is triggered by certain events performed by a medical professional with respect to a patient (e.g., updating a patient record). The contextual suggestions are related to addressing health conditions of the patient and represent tasks or considerations which the medical professional should be made aware. The contextual suggestions are generated in a way that is considerate of patient context, medical professional context, and contexts of similar patients. The contextual suggestions can be presented to the medical professional for selection and execution.

Abstract: An acquisition unit acquires at least one of first information and second information. A notification unit provides warning information to the driver, the warning information being generated based on at least one of the first information and the second information acquired and indicating a possibility of an increase in an insurance premium of an insurance applied to the driver. An reception unit receives acceptance of the provided warning information from the driver. A processor determines to transmit the acceptance by the driver of the possibility of an increase in the insurance premium to an insurance company server when the acceptance is received and determines to transmit at least one of the first information and the second information to the insurance company server when acceptance is not received.

Abstract: In some implementations, a pest detector may receive sensor data from a sensor. The pest detector may determine, using a machine learning algorithm, that the sensor data indicates a presence of a first type of pest. The pest detector may send a notification message, including at least a portion of the sensor data, to a computing device and visually indicate that the first type of pest was detected using an indicator. The pest detector may receive an update to the machine learning algorithm from a server and install the update to create an updated machine learning algorithm. The pest detector may receive second sensor data and determine, using the updated machine learning algorithm, that the second sensor data indicates the presence of a second type of pest that is not recognized by the machine learning algorithm.

Abstract: In some implementations, a server may receive sensor data from a plurality of detectors, including receiving first sensor data from a first detector and second sensor data from a second detector. The server may use the sensor data to retrain a detector-based machine learning algorithm to create an updated detector-based machine learning algorithm. The server may send the updated detector-based machine learning algorithm to the first detector and the second detector. For example, the updated machine learning algorithm may be trained to identify at least one pest that the machine learning algorithm is incapable of identifying.

Abstract: In some implementations, a computing device may receive a notification from a pest detector. In response, the computing device may initiate execution of a software application and display a user interface. The user interface may enable playback of the notification, such as displaying a photograph of a pest or playing back audio of noise made by the pest. The user interface may display a floor plan of a building along with a location of the pest detector and additional locations of additional pest detectors located in the building superimposed on the floor plan. The user interface may enable selecting a particular building of multiple buildings, a particular floor of multiple floors, or a particular room of multiple rooms. The user interface may display where pests have been detected superimposed on the floor plan.

Abstract: Abnormal motions are detected in sensor data collected with respect to performance of repetitive human activities. An autoencoder network model is trained based on a set of standard activity. Repetitive activity is extracted from sensor data. A first score is generated indicative of distance of a repetition of the repetitive activity from the standard activity. The repetitive activity is used to retrain the autoencoder network model, using weights of the autoencoder network model as initial values, the weights being based on the training of the autoencoder network model using the set of standard activity. A second score is generated indicative of whether the repetition is an outlier as compared to other repetitions of the repetitive activity. A final score is generated based on a weighting of the first score and the second score.

Abstract: A platform, system, method, and computer readable media is provided which is configured for monitoring water level height of one or more bodies of water.

Abstract: Embodiments described herein provide an animal acoustic augmentor (AAA) for an animal acoustic augmentation system. The AAA includes an audio system configured to generate audio proximal and/or for delivery to an ear of an animal and a logic device configured to communicate with and control operation of the audio system. The logic device is configured to detect an AAA trigger associated with operation of the AAA and/or the audio system and generate an animal-audible trigger response via the audio system of the AAA based, at least in part, on the detected AAA trigger, where the animal-audible trigger response includes a preprogrammed AAA trigger response stored within a memory of the AAA and/or a live AAA trigger response based, at least in part, on a control sequence and/or an owner command provided by a personal electronic device associated with the AAA and/or an acoustic environment of the animal.

Abstract: An incident response system for a vehicle, the incident response system comprising: incident detection means, exterior audio detection means, communication means and control means. The incident detection means detects an event indicative of a vehicle incident. The exterior audio detection means detects audio exterior to the vehicle. The communication means operatively supports an audio communication channel with a remote communication means. The control means is arranged to control the communication means in dependence on the detection of an event indicative of a vehicle incident, to establish an audio communication channel between the vehicle and the remote communication means. The control means is operable to cause selective transmission of the audio detected exterior to the vehicle to the remote communication means over the established audio communication channel.

Abstract: A measuring apparatus includes: a measuring unit to measure a signal value corresponding to a concentration of a specified substance of a first sample; an acquiring unit to acquire a reference value pertaining to the specified substance of a second sample; a calculating unit to calculate a concentration value of the specified substance of the first sample, based on the signal value and the reference value; a timing determination unit to determine timing for calibrating the reference value when satisfying at least one of a first condition that an activity status of a user is a predetermined status and a second condition that a variation in the concentration value of the specified substance of the first sample is equal to or smaller than a threshold value; and an input request unit to request the user to input the reference value at the determined timing.

Abstract: Aspects of the subject disclosure may include, for example, determining, according to a location of each of a plurality of devices, an arrangement of coverage areas of devices pairs of the plurality of devices to enable a determination of a mobile device location relative to one or more of the devices pairs within a demarcated area, and identifying a transmission schedule for each of the devices pairs to transmit a wireless signal that initiates a process to determine the mobile device location. Other embodiments are disclosed.

Abstract: A method and system for determining an amount of risk an air pollutant poses to a subject. A risk level is calculated by determining a dosage of the air pollutant, received by the subject over a predetermined period of time, and obtaining historic information about historic dosages of the air pollutant. The risk level is then calculated using the dosage and the historic information to thereby determine a risk level associated with the accumulated deposition of the air pollutant in the portion of the subject's respiratory tract.