Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Abstract: A method and device for automatic semantic labeling of unlabeled places using activity recognition. A method includes determining at least one activity based on analyzing electronic device sensor data. Localization for the electronic device is performed to determine location for an unknown semantic place. An observed mapping between the at least one activity and the location for the unknown semantic place is determined. A typical mapping between the at least one activity and at least one semantic place is determined. Using the observed mapping and the typical mapping from one or more other electronic devices, the unknown semantic place is assigned with a semantic place label representing the at least one semantic place for identifying the unknown semantic place. A semantic place map is updated to include the semantic place label.

Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Abstract: A method and device for automatic semantic labeling of unlabeled places using activity recognition. A method includes determining at least one activity based on analyzing electronic device sensor data. Localization for the electronic device is performed to determine location for an unknown semantic place. An observed mapping between the at least one activity and the location for the unknown semantic place is determined. A typical mapping between the at least one activity and at least one semantic place is determined. Using the observed mapping and the typical mapping from one or more other electronic devices, the unknown semantic place is assigned with a semantic place label representing the at least one semantic place for identifying the unknown semantic place. A semantic place map is updated to include the semantic place label.

Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Abstract: An improved user interface for use with a mobile telecommunication device such as a mobile phone to make its featured more accessible to a sight-impaired user. The user interface employs a collection of distinguishable non-visual (NV) cues that are selectively generated as the user chooses a feature for activation by navigating through a menu system. The NV cues may take any of several forms, but are most usually vibration pulses or audible sounds, or a combination of these two forms. As the user navigates through the menu system by sequentially selecting from available options, the NV cues are generated so that the user can sense a location within the menu system. The different NV cues may be associated with the availability of certain selected options, the selection of them, or organized in a manner analogous to the manner in which the options themselves are organized.

Abstract: An improved user interface for use with a mobile telecommunication device such as a mobile phone to make its featured more accessible to a sight-impaired user. The user interface employs a collection of distinguishable non-visual (NV) cues that are selectively generated as the user chooses a feature for activation by navigating through a menu system. The NV cues may take any of several forms, but are most usually vibration pulses or audible sounds, or a combination of these two forms. As the user navigates through the menu system by sequentially selecting from available options, the NV cues are generated so that the user can sense a location within the menu system. The different NV cues may be associated with the availability of certain selected options, the selection of them, or organized in a manner analogous to the manner in which the options themselves are organized.

Abstract: A system and method for determining the progress and position of a pedestrian. The shoes of the user are each provided with communicating sensors. The sensors sense when a step has been taken and communicate with each other through Bluetooth, 802.11b, or some other such short-range wireless protocol. This communication includes a distance measurement, and the distance between sensors is calculated and stored with each step, the sensors being in communication with a central processor for this purpose. The sensors also determine their own orientation and their orientation relative to the other sensor, communicating this directional information to the central processor as well. The direction information is used to calculate the direction of travel and, combined with the accumulated distance measurements, the position of a user.

Abstract: A system and method for determining the progress and position of a pedestrian. The shoes of the user are each provided with communicating sensors. The sensors sense when a step has been taken and communicate with each other through Bluetooth, 802.11b, or some other such short-range wireless protocol. This communication includes a distance measurement, and the distance between sensors is calculated and stored with each step, the sensors being in communication with a central processor for this purpose. The sensors also determine their own orientation and their orientation relative to the other sensor, communicating this directional information to the central processor as well. The direction information is used to calculate the direction of travel and, combined with the accumulated distance measurements, the position of a user.