Abstract: System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison. An exercise profile of a user may be updated using the caloric expenditure.

Abstract: This disclosure describes embodiments of methods, systems, and non-transitory-computer readable media that personalize visual content for display on digital signage near a projected location of a person by mapping visual content to physical items selected by the person. In some examples, the disclosed system identifies physical items selected by a person based on signals from the physical items, such as signals emitted by RFID tags affixed to (or other devices associated with) the physical items. The disclosed system analyzes the collection of physical items—as identified by the signals—to tailor digital signage content specific to the person. The disclosed system further tracks the location of the person as the person moves through a physical space and interacts with the physical items. Based on the tracked positions, the disclosed system determines a digital sign in proximity to a predicted location of the person to display the personalized visual content.

Abstract: This disclosure describes embodiments of methods, systems, and non-transitory-computer readable media that personalize visual content for display on digital signage near a projected location of a person by mapping visual content to physical items selected by the person. In some examples, the disclosed system identifies physical items selected by a person based on signals from the physical items, such as signals emitted by RFID tags affixed to (or other devices associated with) the physical items. The disclosed system analyzes the collection of physical items—as identified by the signals—to tailor digital signage content specific to the person. The disclosed system further tracks the location of the person as the person moves through a physical space and interacts with the physical items. Based on the tracked positions, the disclosed system determines a digital sign in proximity to a predicted location of the person to display the personalized visual content.

Abstract: Systems and methods are described for performing dynamic time warping using diffusion wavelets. Embodiments of the inventive concept integrate dynamic time warping with multi-scale manifold learning methods. Certain embodiments also include warping on mixed manifolds (WAMM) and curve wrapping. The described techniques enable an improved data analytics application to align high dimensional ordered sequences such as time-series data. In one example, a first embedding of a first ordered sequence of data and a second embedding of a second ordered sequence of data may be computed based on generated diffusion wavelet basis vectors. Alignment data may then be generated for the first ordered sequence of data and the second ordered sequence of data by performing dynamic time warping.

Abstract: Technologies for managing a treatment program include a treatment management server, smart pills, and patient computing devices. The treatment management server is configured to generate treatment data usable by the smart pills to control a release of one or more drugs in patients. The treatment management server is also configured to transmit the treatment data to the smart pills, obtain physiological data associated with the patients, identify a preferred physiological response among the patients based on the physiological data, and identify the treatment data associated with the preferred physiological response. The smart pills are configured to obtain the treatment data, release one or more drugs into the patients based on the treatment data, sense physiological conditions in the patients, and transmit the physiological conditions to the treatment management server. The patient computing devices facilitate communication between the treatment management server and the smart pills.

Abstract: In one example a system for emotional adaptive driving policies for automated driving vehicles, comprising a first plurality of sensors to detect environmental information relating to at least one passenger in a vehicle and a controller communicatively coupled to the plurality of sensors and comprising processing circuitry, to receive the environmental information from the first plurality of sensors, determine, from the environmental information, an emotional state of the at least one passenger, and implement a driving policy based at least in part on the emotional state of the at least one passenger. Other examples may be described.

Abstract: The present disclosure relates to computer-implemented methods and systems for intelligent task management. An example method may include identifying one or more authorized entities. The method may further include broadcasting at least one task associated with a user to one or more devices associated with the one or more authorized entities. The method may further include receiving from the one or more authorized entities, via the one or more devices, an indication of acceptance of the at least one task. The method may further include selecting at least one trusted entity among the one or more authorized entities. The method may further include issuing at least one digital certificate to the at least one trusted entity to perform the at least one task.

Abstract: Systems and methods for generating incentive offers for road use are provider. Incentive offers may be generated by a service provider server. The incentive offers may be generated identifying, by the computer having at least one processor, at least one use-condition associated with a transit point based at least in part on historical transit data. The generating the incentive offers may include generating one or more offers for a plurality of toll collections passes configured to enable the at least one use-condition associated with the transit point. Further, the method may provide for facilitating a distribution for the one or more incentive offers to a use group.

Abstract: Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.

Abstract: Technologies for managing social relationships of a computing device social group includes exchanging device attributes amongst the members of the computing device social group, determining a social relationship between members, and sharing a social interaction policy based on the social relationship. The social interaction policy and the social relationship are used to define and control interactions of members of the computing device social group.

Abstract: The present disclosure relates to computer-implemented methods and systems for intelligent task management. An example method may include identifying one or more authorized entities. The method may further include broadcasting at least one task associated with a user to one or more devices associated with the one or more authorized entities. The method may further include receiving from the one or more authorized entities, via the one or more devices, an indication of acceptance of the at least one task. The method may further include selecting at least one trusted entity among the one or more authorized entities. The method may further include issuing at least one digital certificate to the at least one trusted entity to perform the at least one task.

Abstract: Systems and methods for determining a number of vehicle occupants based at least in part on sensor data gathered by one or more in-vehicle sensors are disclosed. The number of vehicle occupants may be determined, at least in part, by an in-vehicle system associated with the vehicle. Vehicle occupancy information indicative of the number of vehicle occupants may be transmitted to facilitate identification of one or more incentives based at least in part on the vehicle occupancy information. The incentive(s) may include a reduction in a fee associated with operation of the vehicle such as a discounted toll amount, an elimination of a fee, an incentive payment, a discount associated with a product or service offering, and so forth. A tolling system ma be provided for receiving the vehicle occupancy information and determining a toll amount based at least in part on the received information.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for in-vehicle fiducial mark tracking and interpretation According to an example embodiment of the invention, a method is provided for executing computer executable instructions by one or more processors. The method includes receiving the one or more images from at least one camera attached to a vehicle; selecting, from the one or more received images, a region of interest associated with an object in the vehicle; identifying fiducial marks within the selected region of interest by comparing the identified fiducial marks with one or more stored fiducial representations; determining, based at least in part on the comparison, spatial information associated with the object or an occupant of the vehicle; and sending information based at least in part on the determined spatial information.

Abstract: The present disclosure relates to computer-implemented methods and systems for intelligent route planning. An example method may include receiving, by a computation system comprising one or more processors, one or more tasks. The one or more tasks may be associated with one or more locations. The method may further include storing, by the computation system, the one or more tasks. The method may further include receiving, by the computation system, current location information associated with a user. The method may further include generating, by the computation system, based upon the one or more tasks and the current location information, one or more notifications associated with at least one task for presentation to the user.

Abstract: Systems, apparatuses and methods may leverage technology that identifies sensor data, automatically determines a change in an affective state of one or more individuals based at least in part on the sensor data and conducts an update to a game score based on the change in the affective state. In one example, the game score is associated with a player and the one or more individuals are individuals other than the player.

Abstract: The present disclosure relates to computer-implemented methods and systems for intelligent task management. An example method may include identifying one or more authorized entities. The method may further include broadcasting at least one task associated with a user to one or more devices associated with the one or more authorized entities. The method may further include receiving from the one or more authorized entities, via the one or more devices, an indication of acceptance of the at least one task. The method may further include selecting at least one trusted entity among the one or more authorized entities. The method may further include issuing at least one digital certificate to the at least one trusted entity to perform the at least one task.

Abstract: In one example a system for emotional adaptive driving policies for automated driving vehicles, comprising a first plurality of sensors to detect environmental information relating to at least one passenger in a vehicle and a controller communicatively coupled to the plurality of sensors and comprising processing circuitry, to receive the environmental information from the first plurality of sensors, determine, from the environmental information, an emotional state of the at least one passenger, and implement a driving policy based at least in part on the emotional state of the at least one passenger. Other examples may be described.

Abstract: Technologies for determining a threat assessment based on fear responses comprises monitoring sensor data received from a sensor array located at a monitored site. The sensor data may include behavioral sensor data indicative of a physical behavior of individuals within the monitored site and physiological sensor data indicative of physiological characteristics of individuals within the monitored site. The threat assessment may be based on the behavioral sensor data and physiological sensor data. In some embodiments, context data related to the monitored site may be utilized analyze the behavioral sensor data and physiological sensor data and determine a threat assessment based thereon.

Abstract: Technologies for generating a warning based on environmental conditions sensed in a vehicle include an in-vehicle warning system for determining whether an operator of the vehicle is present, determining whether a non-operator occupant is present in the vehicle, and determining whether environmental conditions sensed within the vehicle satisfy a reference condition threshold. Such technologies may also include performing an emergency action in response to determining that the environmental conditions sensed within the vehicle satisfy the reference condition threshold, determining that the operator of the vehicle is not present, and determining that the non-operator occupant is present in the vehicle.

Abstract: Various system and method for creating profiles of fuel quality are described herein. A system to create profiles of fuel quality comprises a receiving module arranged to receive vehicle performance data of a vehicle, the vehicle performance data describing the vehicle's performance over a time period; an association module arranged to associate the vehicle performance data with fuel used by the vehicle during the time period; an analysis module arranged to analyze the vehicle performance data with respect to the fuel to calculate a performance metric of the fuel; and a storage module arrranged to store the performance metric in a performance database at the computing system.