Abstract: A voice-controlled device monitors content delivered to a user through a non-interactive or unidirectional medium, such as broadcast television or radio. Each time the device recognizes delivered content that includes an advertisement or solicitation, the device records information identifying the content and the time at which the content is delivered. The device also listens for environmental audio cues suggesting that a user has performed a desired action in response to viewing or hearing the recognized content. If the device determines that a user response has occurred within a predetermined duration of time after a corresponding advertisement or solicitation, the device correlates the response with the content.

Abstract: A computer-implemented method, a computer program product, and a computer system for sensor-based acknowledgments between road traffic participants. One or more cameras on a vehicle identify a gaze direction of a driver of the vehicle. The one or more cameras identify a focused eye state of the driver. One or more object recognition sensors on the vehicle identify objects around the vehicle. The computer system determines whether an object is identified in the gaze direction. In response to the object being identified in the gaze direction, the computer system instructs a light indicator to emit light in a direction toward the object. The light indicator notifies a traffic participant associated with the object that the driver has seen the object.

Abstract: In order to aid a user in filling a container with a target volume of a substance, an image is received. The image includes a view of the container and a view of a reference object. The reference object has a known dimension. The view of the reference object and the view of the container are then compared with reference to the known dimension. Based on the comparison, a volume of the container is determined. Based on the volume of the container, a volume indicator is provided.

Abstract: Mechanisms are provided to implement a location identification mechanism to identify a location or route for a user. A starting location of the user is identified in response to receiving a set of details from the user including at least a target location. A three-dimensional model of an area around the starting location, an area around the target location, and an area between the starting location and the target location is generated and current local weather and forecasted local weather associated with the starting location, the target location, and the area between the starting location and the target location is identified. Anticipated wind flow and temperatures within the generated three-dimensional model are simulated to identify a route from the starting location to the target location that meets a set of personal preferences of the user. The identified route is then presented on a user-selected navigation application.

Abstract: Mechanisms are provided to implement a location identification mechanism to identify a location or route for a user. A starting location of the user is identified in response to receiving a set of details from the user including at least a target location. A three-dimensional model of an area around the starting location, an area around the target location, and an area between the starting location and the target location is generated and current local weather and forecasted local weather associated with the starting location, the target location, and the area between the starting location and the target location is identified. Anticipated wind flow and temperatures within the generated three-dimensional model are simulated to identify a route from the starting location to the target location that meets a set of personal preferences of the user. The identified route is then presented on a user-selected navigation application.

Abstract: Provided are techniques for enhancing images with emotion information, comprising capturing a plurality of images; identifying an individual in the plurality of images; analyzing the plurality of images for emotional content; converting the emotional content into emotion metadata; correlating the emotional content with the individual to produce associated emotion metadata; and storing the associated emotion metadata in conjunction with the captured image in a computer-readable storage medium. The disclosed techniques may also include capturing physiological data corresponding to an individual that captures the image; analyzing the physiological data for a second emotional content; converting the second emotional content into a second emotion metadata; storing the second emotion metadata in conjunction with the captured image in the computer-readable storage medium.

Abstract: Provided are techniques for enhancing images with emotion information, comprising capturing a plurality of images; identifying an individual in the plurality of images; analyzing the plurality of images for emotional content; converting the emotional content into emotion metadata; correlating the emotional content with the individual to produce associated emotion metadata; and storing the associated emotion metadata in conjunction with the captured image in a computer-readable storage medium. The disclosed techniques may also include capturing physiological data corresponding to an individual that captures the image; analyzing the physiological data for a second emotional content; converting the second emotional content into a second emotion metadata; storing the second emotion metadata in conjunction with the captured image in the computer-readable storage medium.

Abstract: High dynamic range, high class count, high input rate winner-take-all on neuromorphic hardware is provided. In some embodiments, a plurality of thermometer codes are received by a neurosynaptic core. The plurality of thermometer codes are split into a plurality of intervals. One of the plurality of intervals is selected. A local maximum is determined within the one of the plurality of intervals. A global maximum is determined based on the local maximum.

Abstract: Examples of techniques for projecting fall zones for a climber are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes detecting, by a processing device, a position of a climber on a climbing surface. The method further includes determining, by the processing device, a fall zone of the climber based at least in part on the position of the climber on the climbing surface. The method further includes projecting the fall zone of the climber on a ground surface beneath the climber, the fall zone being visible to others.

Abstract: A method, computer system, and a computer program product for diverting a user focus from a user device is provided. The present invention may include detecting a user audience in proximity of a user device. The present invention may then include determining that a user of the user device should be alerted to the detected user audience. The present invention may further include, in response to determining that the user of the user device should be alerted to the detected user audience, transmitting an alert from the user device configured to divert a user focus from the user device to the detected user audience.

Abstract: Switching access configurations of a computing device when receiving an indication of a personal security concern. The computing device is configured with a first mode having a first level of access and a second mode having a second level of access. The first level of access permits full access to the computing device and the second level of access restricts access to the computing device. In response to receiving the indication of the personal security concern, the computing device switches from the first level of access to the second level of access.

Abstract: As disclosed herein, a method for recognizing a previously-traveled route includes receiving recorded video data and a current video stream from one or more video capture devices, identifying one or more objects in the received video data to provide one or more recorded waypoints, identifying one or more visible objects in the received current video stream to provide one or more visible waypoints, comparing the visible waypoints to the recorded waypoints to provide one or more matching waypoints, and identifying a previously traveled path in the received current video stream corresponding to the one or more of the identified matching waypoints. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: High dynamic range, high class count, high input rate winner-take-all on neuromorphic hardware is provided. In some embodiments, a plurality of thermometer codes are received by a neurosynaptic core. The plurality of thermometer codes are split into a plurality of intervals. One of the plurality of intervals is selected. A local maximum is determined within the one of the plurality of intervals. A global maximum is determined based on the local maximum.

Abstract: Mechanisms are provided to implement a location identification mechanism to identify a location or route for a user. A starting location of the user is identified in response to receiving a set of details from the user including at least a target location. A three-dimensional model of an area around the starting location, an area around the target location, and an area between the starting location and the target location is generated and current local weather and forecasted local weather associated with the starting location, the target location, and the area between the starting location and the target location is identified. Anticipated wind flow and temperatures within the generated three-dimensional model are simulated to identify a route from the starting location to the target location that meets a set of personal preferences of the user. The identified route is then presented on a user-selected navigation application.

Abstract: Mechanisms are provided to implement a location identification mechanism to identify a location or route for a user. A starting location of the user is identified in response to receiving a set of details from the user including at least a target location. A three-dimensional model of an area around the starting location, an area around the target location, and an area between the starting location and the target location is generated and current local weather and forecasted local weather associated with the starting location, the target location, and the area between the starting location and the target location is identified. Anticipated wind flow and temperatures within the generated three-dimensional model are simulated to identify a route from the starting location to the target location that meets a set of personal preferences of the user. The identified route is then presented on a user-selected navigation application.

Abstract: Methods, systems, and computer program products for analysis of movement patterns and corrective actions are provided. Aspects include capturing, via a camera, movement data associated with a user, analyzing the movement data to identify a movement pattern of the user, accessing, from a database, a model movement pattern for the movement pattern of the user, comparing the model movement pattern to the movement pattern of the user, determining a fault in the movement pattern of the user, and displaying, via a display screen, video data comprising a corrected movement pattern for the user based at least on the fault in the movement pattern of the user.

Abstract: A method, computer system, and a computer program product for diverting a user focus from a user device is provided. The present invention may include detecting a user audience in proximity of a user device. The present invention may then include determining that a user of the user device should be alerted to the detected user audience. The present invention may further include, in response to determining that the user of the user device should be alerted to the detected user audience, transmitting an alert from the user device configured to divert a user focus from the user device to the detected user audience.

Abstract: An input from a user is received. The input includes a first content on the Internet to be analyzed. In response to receiving the input, the first content is analyzed. The analysis determines a plurality of topics included in the first content. One or more content related to the first content is determined. The one or more content is determined using an ontology and the plurality of topics. A first node is added to an interest panel. The first node is a link to the one or more determined content. The interest panel is an area displayed on a user interface which includes one or more nodes. An indication from the user selecting the first node is received. In response to receiving the indication, the determined one or more content associated with the first node is received. The interest panel is saved.

Abstract: Mechanisms are provided for automatically providing a user-sensitive amount of light for a specific task. Responsive to detecting an object being lit by a task-lighting device, a set of lighting conditions associated with lighting the object are identified. A first set of parameters is utilized to adjust an amount of light being emitted by a light emitting device of the task-lighting device lighting the object. Responsive to a user manually adjusting the amount of light thereby forming a current amount of light being emitted by the light emitting device, current lighting condition parameters and the current amount of light being emitted by the tight emitting device are identified. The current lighting condition parameters and the current amount of light are then stored as a second set of parameters. The second set of parameters are then utilized for adjusting the amount of light being emitted when changes to the object occurs.

Abstract: Embodiments include techniques for read confirmation of electronic messages, the techniques include displaying a message to a user, and determining one or more portions of the message has been scanned based on a tracking. The techniques also include comparing a threshold to the one or more portions of the message that has been scanned, and presenting an estimated unscanned portion of the message based on the comparison.