Abstract: Method and apparatus for personal health navigation using a wearable device having at least one sensor, including receiving an input from an individual indicating a personal health goal, determining a goal physiological state for the individual based on the personal health goal; receiving at least one of a first physiological measurement of the individual from the at least one sensor or an existing physiological profile of the individual; determining a current physiological state for the individual based on at least one of the first physiological measurement or the existing physiological profile of the individual; determine a personalized route for the individual, the personalized route comprising a sequence of physiological states transiting from the current physiological state to the goal physiological state through a plurality of intermediate physiological states; and providing an instruction indicative of a recommended user action to the individual.

Abstract: Embodiments herein relate to biosensors and other elements combined in real-time for health applications that acquire health data of an individual from one or more data streams by a first element and integrate these data through a second element that is configured to predict and/or recognize an interruptive health event and then via one or more successive elements alert one or more providers of a possible interruptive health event, enable the providers to propose one or more effective interventions, communicate directly with the individual and providers and/or caregivers, and/or provide confirmation in the event that effective interventions were made. Embodiments also relate to predicting and recognizing brain attack in real-time by acquiring and integrating health data from one or more data streams, interfacing with one or more providers so that they can propose and/or effect one or more effective interventions, and communicating with an affected individual, providers, and/or caregivers.

Abstract: Method and apparatus for personal health navigation includes determining, by a processor, a personal health state space comprising a set of connected biological states for an individual; determining, for the individual, a region of interest within the personal health state space, in which the region of interest is defined by a goal state relative to a current state of the individual, the goal state associated with a personal health goal of the individual; determining a route comprising the current state, the goal state, and an intermediate state within the personal health state space, the intermediate state closer in distance to the goal state than the current state; and providing, to the individual, a health instruction indicative of a recommended action based on a connection between the current state and the intermediate state, in which the recommended action is selected to guide the individual to transition to the intermediate state.

Abstract: Embodiments herein relate to biosensors and other elements combined in real-time for health applications that acquire health data of an individual from one or more data streams by a first element and integrate these data through a second element that is configured to predict and/or recognize an interruptive health event and then via one or more successive elements alert one or more providers of a possible interruptive health event, enable the providers to propose one or more effective interventions, communicate directly with the individual and providers and/or caregivers, and/or provide confirmation in the event that effective interventions were made. Embodiments also relate to predicting and recognizing brain attack in real-time by acquiring and integrating health data from one or more data streams, interfacing with one or more providers so that they can propose and/or effect one or more effective interventions, and communicating with an affected individual, providers, and/or caregivers.

Abstract: Embodiments herein relate to biosensors and other elements combined in real-time for health applications that acquire health data of an individual from one or more data streams by a first element and integrate these data through a second element that is configured to predict and/or recognize an interruptive health event and then via one or more successive elements alert one or more providers of a possible interruptive health event, enable the providers to propose one or more effective interventions, communicate directly with the individual and providers and/or caregivers, and/or provide confirmation in the event that effective interventions were made. Embodiments also relate to predicting and recognizing brain attack in real-time by acquiring and integrating health data from one or more data streams, interfacing with one or more providers so that they can propose and/or effect one or more effective interventions, and communicating with an affected individual, providers, and/or caregivers.

Abstract: Embodiments herein relate to biosensors and other elements combined in real-time for health applications that acquire health data of an individual from one or more data streams by a first element and integrate these data through a second element that is configured to predict and/or recognize an interruptive health event and then via one or more successive elements alert one or more providers of a possible interruptive health event, enable the providers to propose one or more effective interventions, communicate directly with the individual and providers and/or caregivers, and/or provide confirmation in the event that effective interventions were made. Embodiments also relate to predicting and recognizing brain attack in real-time by acquiring and integrating health data from one or more data streams, interfacing with one or more providers so that they can propose and/or effect one or more effective interventions, and communicating with an affected individual, providers, and/or caregivers.

Abstract: A system for sharing moment experiences is described. A system receives moment data from an input to a mobile device. The system receives geographic location information, time information, and contextual information that is local to the mobile device. The system creates a message about the moment data based on the geographic location information, the time information, and the contextual information. The system outputs the moment data with the message.

Abstract: A system for capturing intent while recording moment experiences is described. A system receives a notice to record moment data via a mobile device. The system outputs a pictogram set, from multiple pictogram sets, based on contextual information associated with the notice. The system receives a selection of a pictogram from the pictogram set. The system records the moment data. The system outputs the moment data with the selected pictogram.

Abstract: A system for sharing moment experiences is described. A system receives moment data from an input to a mobile device. The system receives geographic location information, time information, and contextual information that is local to the mobile device. The system creates a message about the moment data based on the geographic location information, the time information, and the contextual information. The system outputs the moment data with the message.

Abstract: Architecture and its implementation of an event-based media management system and method are disclosed. A generic model for events is used for developing architecture for media management, called Eventcentric Media Management (EMMa) system. The system focuses on event experiences and provides flexible functionality for media management. The system and method analyze cross-media files for features to extract atomic events and apply algorithms to cluster files including similar or related features. Thus, the EMMa system allows unified media indexing of multiple media types, better abstraction of the real world, use of context, media processing operations to compute and store features and tags, and a more intuitive support for multiple users. It provides environments for querying and browsing media related to events and authoring of multimedia presentations for sharing with other individuals.

Abstract: A method of classifying and organizing digital images utilizing optical metadata (captured using multiple sensors on the camera) may define semantically coherent image classes or annotations. The method defines optical parameters based on the physics of vision and operation of a camera to cluster related images for future search and retrieval. An image database constructed using photos taken by at least thirty different users over a six year period on four different continents was tested using algorithms to construct a hierarchal clustering model to cluster related images. Additionally, a survey about the most frequent image classes shot by common people forms a baseline model for automatic annotation of images for search and retrieval by query keyword.

Abstract: Architecture and its implementation of an event-based media management system and method are disclosed. A generic model for events is used for developing architecture for media management, called Eventcentric Media Management (EMMa) system. The system focuses on event experiences and provides flexible functionality for media management. The system and method analyze cross-media files for features to extract atomic events and apply algorithms to cluster files including similar or related features. Thus, the EMMa system allows unified media indexing of multiple media types, better abstraction of the real world, use of context, media processing operations to compute and store features and tags, and a more intuitive support for multiple users. It provides environments for querying and browsing media related to events and authoring of multimedia presentations for sharing with other individuals.

Abstract: A method of classifying and organizing digital images utilizing optical metadata (captured using multiple sensors on the camera) may define semantically coherent image classes or annotations. The method defines optical parameters based on the physics of vision and operation of a camera to cluster related images for future search and retrieval. An image database constructed using photos taken by at least thirty different users over a six year period on four different continents was tested using algorithms to construct a hierarchal clustering model to cluster related images. Additionally, a survey about the most frequent image classes shot by common people forms a baseline model for automatic annotation of images for search and retrieval by query keyword.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video. In one embodiment, the video is cataloged concurrently with encoding of the video.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video. In another aspect of the invention, video metadata track processors convert metadata tracks of the video information to produce displayable frames containing hyperlinking between displayable data. Another aspect of the invention is directed to a method of browsing stored video information, including displaying hyperlinked frames of metadata track representations, and selecting and displaying links between displayable frames.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video. Video feature extractors produce metadata tracks from the video information, and each metadata track indexes the stored video information. A feature extractor registration interface registers the video feature extractors, providing for registration with the video engine of new video feature extractors with new metadata tracks.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video.

Abstract: One aspect of the invention is directed to a system and method for video cataloging. The video is cataloged according to predefined or user definable metadata. The metadata is used to index and then retrieve encoded video.

Abstract: A similarity-based database of images, where images are preferably ranked and correlated in correspondence to biological preattentive similarity, supports a new type of interface for visual navigation within the database to the end that a human may perceive not only selected images resultant from a query, but the relationship between the selected images. In particular, navigation is within a display space whose geometric characteristics depend on the geometry of the perceptual space in which image similarity is measured. The display space is a subset of the three dimensional Euclidean space that, for many of the distance functions appropriate to the images, is contained in the unit cube. The perceptual intuition of the metric is given (i) in part by the distribution of images in the space, and (ii) in part by making the motion of the user uniform with respect to the metric of the space.