Abstract:
Embodiments of apparatus and methods for capturing and generating user experiences are described. In embodiments, an apparatus may include a processor. The apparatus may also include a data storage module, coupled with the processor, to store sensor data collected by a plurality of sensors attached to one or more devices. The apparatus may further include an experience correlation module, coupled with the data storage module, to associate at least a portion of the sensor data with a user experience based at least in part on one or more rules identifying the user experience, to enable regenerating at least a part of the user experience for a user based at least in part on the portion of the sensor data. Other embodiments may be described and/or claimed.
Abstract:
Embodiments of apparatus and methods for capturing and generating user experiences are described. In embodiments, an apparatus may include a processor. The apparatus may also include a data storage module, coupled with the processor, to store sensor data collected by a plurality of sensors attached to one or more devices. The apparatus may further include an experience correlation module, coupled with the data storage module, to associate at least a portion of the sensor data with a user experience based at least in part on one or more rules identifying the user experience, to enable regenerating at least a part of the user experience for a user based at least in part on the portion of the sensor data. Other embodiments may be described and/or claimed.
Abstract:
Examples disclosed herein provide real-time language learning within a smart space. An example system includes a sensor; object detection software to identify a first object and a second object in an environment based on an output of the sensor; assign a first weight to the first object and a second weight to the second object; perform a comparison of the first weight and the second weight; and select the first object to be associated with a second language output based on the comparison; context determination software to determine a second language context based on the output of the sensor; linguistic analysis software to associate the first object with a second language based on the second language context; and prompt generation software to cause the second language output for the first object in the second language to be presented.
Abstract:
Systems and methods may provide for conducting an interest analysis of data associated with a user, wherein the interest analysis distinguishes between abstract interests and social interests. Additionally, one or more recommendations may be generated for the user based on the interest analysis and a current context of the user, wherein the one or more recommendations may be presented to the user. In one example, the abstract interests identify types of topics and types of objects, and the social interests identify types of social groups.
Abstract:
Technologies for light exposure analysis include a computer configured to collect light data of an environment and a remote computer communicatively coupled to the computer. The remote computer is configured to receive/retrieve health information for one or more users and analyze the health information to generate a health profile for each of the one or more users. Additionally, the remote computer is configured to determine whether any correlations exist between the health profiles and the light data. The remote computer is further configured to analyze the collected light data against one or more health profiles to determine a desired lighting condition for a user based at least in part on the correlations between the health profiles and the light data. Other embodiments are described and claimed.
Abstract:
Technologies for automated context-aware media curation include a computing device that captures context data associated with media objects. The context data may include location data, proximity data, behavior data of the user, and social activity data. The computing device generates inferred context data using one or more cognitive or machine learning algorithms. The inferred context data may include semantic time or location data, activity data, or sentiment data. The computing device updates a user context model and an expanded media object graph based on the context data and the inferred context data. The computing device selects one or more target media objects using the user context model and the expanded media object graph. The computing device may present context-aware media experiences to the user with the target media objects. Context-aware media experiences may include contextual semantic search and contextual media browsing. Other embodiments are described and claimed.
Abstract:
In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.
Abstract:
Systems, apparatuses and methods may provide for technology that automatically detects a user reaction of a first occupant of a shared vehicle based on first data from one or more sensors associated with the shared vehicle. Additionally, the technology may automatically determine a root cause of the user reaction based on one or more of the first data or second data. In one example, co-occupant selection criteria associated with the first occupant is automatically updated if the root cause is a second occupant of the shared vehicle.
Abstract:
Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).
Abstract:
A mechanism is described for facilitating personal assistance for curation of multimedia and generation of stories at computing devices according to one embodiment. A method of embodiments, as described herein, includes receiving, by one or more capturing/sensing components at a computing device, one or more media items relating to an event, and capturing a theme from the one or more media items, where the theme is captured based on at least one of activities, textual content, and scenes associated with the event. The method may further include forming a plurality of story elements to generate a story relating to the event, where the plurality of story elements are formed based on at least one of one or more characters, the theme associated with the event, and one or more emotions associated with the one or more characters, wherein the story is presented, via one or more display devices, to one or more users having access to the one or more display devices.