Abstract: Computer-readable storage media, computing devices, and methods associated with an adaptive learning environment associated with an adaptive learning environment are disclosed. In embodiments, a computing device may include an instruction module and an adaptation module operatively coupled with the instruction module. The instruction module may selectively provide instructional content of one of a plurality of instructional content types to a user of the computing device via one or more output devices coupled with the computing device. The adaptation module may determine, in real-time, an engagement level associated with the user of the computing device and may cooperate with the instruction module to dynamically adapt the instructional content provided to the user based at least in part on the engagement level determined. Other embodiments may be described and/or claimed.

Abstract: Vision-based airbag enablement may include capturing two-dimensional images of a passenger, segmenting the image, classifying the image, and determining seated height of the passenger from the image. Enabling or disabling deployment of the airbag may be controlled based at least in part upon the determined seated height.

Abstract: For example, a Bluetooth (BT) device may be configured to identify metadata in broadcast messages received at the BT device from a plurality of BT audio source devices, wherein a broadcast message from a BT audio source device includes metadata indicating one or more attributes of audio data broadcasted by the BT audio source device; and select from the plurality of BT audio source devices one or more recommended BT audio source devices for a BT audio connection, the one or more recommended BT audio source devices selected from the plurality of BT audio source devices based on the metadata in the broadcast messages and based on a user profile corresponding to a user of the BT device, the user profile including personalized preference information corresponding to a preference of the user for selection of audio content.

Abstract: For example, a Bluetooth (BT) device may be configured to identify metadata in broadcast messages received at the BT device from a plurality of BT audio source devices, wherein a broadcast message from a BT audio source device includes metadata indicating one or more attributes of audio data broadcasted by the BT audio source device; and select from the plurality of BT audio source devices one or more recommended BT audio source devices for a BT audio connection, the one or more recommended BT audio source devices selected from the plurality of BT audio source devices based on the metadata in the broadcast messages and based on a user profile corresponding to a user of the BT device, the user profile including personalized preference information corresponding to a preference of the user for selection of audio content.

Abstract: Computer-readable storage media, computing devices, and methods associated with an adaptive learning environment associated with an adaptive learning environment are disclosed. In embodiments, a computing device may include an instruction module and an adaptation module operatively coupled with the instruction module. The instruction module may selectively provide instructional content of one of a plurality of instructional content types to a user of the computing device via one or more output devices coupled with the computing device. The adaptation module may determine, in real-time, an engagement level associated with the user of the computing device and may cooperate with the instruction module to dynamically adapt the instructional content provided to the user based at least in part on the engagement level determined. Other embodiments may be described and/or claimed.

Abstract: Methods and systems involve obtaining information from one or more sources to determine a real-time context. A method includes determining a situational awareness score indicating a level of vigilance required based on the real-time context, obtaining images of eyes of a driver to detect a gaze pattern of the driver, determining a relevant attention score indicating a level of engagement of the driver in the real-time context based on a match between the gaze pattern of the driver and the real-time context, and obtaining images of the driver to detect behavior of the driver. A driver readiness score is determined and indicates a level of readiness of the driver to resume driving the vehicle based on the behavior of the driver. An off-road glance time is obtained based on using the situational awareness score, the relevant attention score, and the driver readiness score.

Abstract: A system for control of an automated device includes a control system configured to operate a device during an operating mode corresponding to a first state in which the control system automatically controls operation, the operating mode prescribing that a user monitor the device operation during automated control, and a scheduling module configured to, during the operating mode, receive a request for the user to temporarily stop monitoring in order to perform a task unrelated to the device operation, allocate a time period during which automated control is maintained and the user stops monitoring, the time period including a non-monitoring period having a duration based on a minimum amount of time for the task, and put the device into a temporary state at initiation of the allocated time period during which the user stops monitoring and automated control is maintained.

Abstract: A system for user interaction with an automated device includes a control system configured to operate the device during an operating mode corresponding to a first state in which the control system automatically controls the device operation, and the operating mode prescribes that a user monitor the device operation during automated control. The control system is configured to allocate a time period for the device to transition to a temporary state in which automated control is maintained and the user is permitted to stop monitoring and perform a task unrelated to device operation. The system includes a user interaction system including a visual display configured to present trajectory information, an indication as to whether an area is conducive to putting the device in the temporary state, and time period allocation information, the user interaction system including an interface engageable by the user to manage scheduling of allocated time period(s).

Abstract: A system and method for operating an automated vehicle. A sensor is configured to monitor an ORU (other road user) external to the automated vehicle thereby identifying the ORU with respect to the automated vehicle. A processor determines a state of the ORU and a context of the ORU and communicates a message to the ORU based on the determined state of the ORU and the context of the ORU.

Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: storing, in a data storage device, a decision model, wherein the decision model predicts when to automatically perform a motivational lane change; updating, by a processor, the decision model based on data obtained in response to user input; and automatically requesting, by the processor, a lane change based on the dynamically updated model.

Abstract: A system for interacting with a user in a vehicle includes a processing device including an input module configured to receive measurement data from one or more sensors, the measurement data related to features of the user. The system also includes a prompt design module configured to, in response to receiving an instruction to output a requested prompt to the user, determine a user state based on the measurement data, determine an activity state based on the measurement data and the user state, customize the requested prompt based on the user state and the activity state to generate a customized prompt, and output the customized prompt to the user.

Abstract: A vehicle, system and a computer-implemented method for setting a height of a seat belt in a vehicle. The system includes a computer vision module, a motor and a controller. The computer vision module determines a seatbelt-neck distance (SND) and a seatbelt-shoulder distance (SSD) for an occupant of the vehicle. The motor adjusts the height of the seat belt. The controller control the motor to set the height of the seat belt based on the SND and the SSD.

Abstract: Apparatuses, methods, and storage media for modifying augmented reality in response to user interaction are described. In one instance, the apparatus for modifying augmented reality may include a processor, a scene capture camera coupled with the processor to capture a physical scene, and an augmentation management module to be operated by the processor. The augmentation management module may obtain and analyze the physical scene, generate one or more virtual articles to augment a rendering of the physical scene based on a result of the analysis, track user interaction with the rendered augmented scene, and modify or complement the virtual articles in response to the tracked user interaction. Other embodiments may be described and claimed.

Abstract: Vision-based airbag enablement may include capturing two-dimensional images of a passenger, segmenting the image, classifying the image, and determining seated height of the passenger from the image. Enabling or disabling deployment of the airbag may be controlled based at least in part upon the determined seated height.

Abstract: A system and method for operating an automated vehicle. A sensor is configured to monitor an ORU (other road user) external to the automated vehicle thereby identifying the ORU with respect to the automated vehicle. A processor determines a state of the ORU and a context of the ORU and communicates a message to the ORU based on the determined state of the ORU and the context of the ORU.

Abstract: An augmented reality (AR) device includes a 3D video camera to capture video images and corresponding depth information, a display device to display the video data, and an AR module to add a virtual 3D model to the displayed video data. A depth mapping module generates a 3D map based on the depth information, a dynamic scene recognition and tracking module processes the video images and the 3D map to detect and track a target object within a field of view of the 3D video camera, and an augmented video rendering module renders an augmented video of the virtual 3D model dynamically interacting with the target object. The augmented video is displayed on the display device in real time. The AR device may further include a context module to select the virtual 3D model based on context data comprising a current location of the augmented reality device.

Abstract: A mechanism is described for facilitating smart measurement of body dimensions despite loose clothing and/or other obscurities according to one embodiment. A method of embodiments, as described herein, includes capturing, by one or more capturing/sensing components of a computing device, a scan of a body of a user, and computing one or more primary measurements relating to one or more primary areas of the body, where the one or more primary measurements are computed based on depth data of the one or more primary areas of the body, where the depth data is obtained from the scan. The method may further include receiving at least one of secondary measurements and a three-dimensional (3D) avatar of the body based on the primary measurements, and preparing a report including body dimensions of the body based on at least one of the secondary measurements and the 3D avatar, and presenting the report at a display device.

Abstract: A seat belt status determining system and method for a vehicle that evaluate a seat belt and determine if it is buckled and if it is properly routed on a passenger. In order to evaluate the seat belt status, the system and method use seat belt sensors and cameras inside the vehicle cabin to generate data that is then analyzed in conjunction with machine learning techniques (e.g., supervised machine learning techniques implemented through the use of neural networks) to classify the seat belt status into one or more categories, such as: passenger not present, passenger present/seat belt not being worn, passenger present/seat belt being worn improperly, passenger present/seat belt being worn properly, and blocked view.

Abstract: Methods and systems involve obtaining information from one or more sources to determine a real-time context. A method includes determining a situational awareness score indicating a level of vigilance required based on the real-time context, obtaining images of eyes of a driver to detect a gaze pattern of the driver, determining a relevant attention score indicating a level of engagement of the driver in the real-time context based on a match between the gaze pattern of the driver and the real-time context, and obtaining images of the driver to detect behavior of the driver. A driver readiness score is determined and indicates a level of readiness of the driver to resume driving the vehicle based on the behavior of the driver. An off-road glance time is obtained based on using the situational awareness score, the relevant attention score, and the driver readiness score.

Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: storing, in a data storage device, a decision model, wherein the decision model predicts when to automatically perform a motivational lane change; updating, by a processor, the decision model based on data obtained in response to user input; and automatically requesting, by the processor, a lane change based on the dynamically updated model.