Abstract: An active audio-visual system and method for identifying events occurring at a location-of-interest is provided. In particular, a system that comprises a Fisheye image capturing device, an audio module and a computing module communicatively coupled to both the image capturing device and the audio module whereby all the modules and devices are provided at the location-of-interest is provided. In operation, the audio module is configured to issue a notification to the computing module when an audio event is detected at the location-of-interest. The notification, which will contain a point of origin of the audio event, will then be used by the computing module to cause the calibrated Fisheye image capturing device to provide a captured high-resolution perspective image of the point of origin of the audio signal to an event identification module for further processing.

Abstract: This document describes an active audio-visual system and method for identifying events occurring at a location-of-interest. In particular, this document describes a system that comprises a Fisheye image capturing device, an audio module and a computing module communicatively coupled to both the image capturing device and the audio module whereby all the modules and devices are provided at the location-of-interest. In operation, the audio module is configured to issue a notification to the computing module when an audio event is detected at the location-of-interest. The notification, which will contain a point of origin of the audio event, will then be used by the computing module to cause the calibrated Fisheye image capturing device to provide a captured high-resolution perspective image of the point of origin of the audio signal to an event identification module for further processing.

Abstract: A method comprises monitoring inputs to a device from a user, using the user inputs to track an emotional condition of the user, detecting a change in the tracked emotional condition of the user, and in response to detecting the change, using a camera to capture an image of the user and inserting the image into a content item.

Abstract: A method, apparatus and computer program wherein the method includes: obtaining, from a detector, a detection of at least one bio-signal of a user of an apparatus; determining a mode of operation of the apparatus when the at least one bio-signal occurred; and correlating the at least one detected bio-signal of the user with the determined mode of operation in a bio-signal profile of the user of the apparatus.

Abstract: A method, apparatus and computer program are provided. The method comprises: performing a first detection of at least one bio-signal from at least one user; controlling a user output device to initiate a user alert, after performing the first detection of the at least one bio-signal; performing a second detection of the at least one bio-signal from the at least one user, after initiating the user alert; and processing the first detection of the at least one bio-signal and the second detection of the at least one bio-signal to determine whether one or more changes in the at least one bio-signal pass a significance test.

Abstract: A method, apparatus and computer program are provided. The method comprises: performing a first detection of at least one bio-signal from at least one user; controlling a user output device to initiate a user alert, after performing the first detection of the at least one bio-signal; performing a second detection of the at least one bio-signal from the at least one user, after initiating the user alert; and processing the first detection of the at least one bio-signal and the second detection of the at least one bio-signal to determine whether one or more changes in the at least one bio-signal pass a significance test.

Abstract: A method, apparatus and computer program are provided. The method comprises: performing a first detection of at least one bio-signal from at least one user; controlling a user output device to initiate a user alert, after performing the first detection of the at least one bio-signal; performing a second detection of the at least one bio-signal from the at least one user, after initiating the user alert; and processing the first detection of the at least one bio-signal and the second detection of the at least one bio-signal to determine whether one or more changes in the at least one bio-signal pass a significance test.

Abstract: A method, apparatus and computer program are provided. The method comprises: determining that an event has occurred; obtaining, from at least one detector, a detection of one or more bio-signals from a user; and processing the detection of the one or more bio-signals to decide whether to control at least one user output device to initiate a user alert, contemporaneously with the occurrence of the event, indicating that the event has occurred.

Abstract: A method, apparatus and computer program wherein the method includes: obtaining, from a detector, a detection of at least one bio-signal of a user of an apparatus; determining a mode of operation of the apparatus when the at least one bio-signal occurred; and correlating the at least one detected bio-signal of the user with the determined mode of operation in a bio-signal profile of the user of the apparatus.

Abstract: Apparatus comprises at least one processor; and at least one memory including computer program code. The memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform a method of: determining an emotional or physical condition of a user of a device; and changing either: a) a setting of a user interface of the device, or b) information presented through the user interface, dependent on the detected emotional or physical condition.

Abstract: A method, apparatus and computer program are provided. The method comprises: determining that an event has occurred; obtaining, from at least one detector, a detection of one or more bio-signals from a user; and processing the detection of the one or more bio-signals to decide whether to control at least one user output device to initiate a user alert, contemporaneously with the occurrence of the event, indicating that the event has occurred.

Abstract: A method, apparatus and computer program are provided. The method comprises: performing a first detection of at least one bio-signal from at least one user; controlling a user output device to initiate a user alert, after performing the first detection of the at least one bio-signal; performing a second detection of the at least one bio-signal from the at least one user, after initiating the user alert; and processing the first detection of the at least one bio-signal and the second detection of the at least one bio-signal to determine whether one or more changes in the at least one bio-signal pass a significance test.

Abstract: A method comprises monitoring inputs to a device from a user, using the user inputs to track an emotional condition of the user, detecting a change in the tracked emotional condition of the user, and in response to detecting the change, using a camera to capture an image of the user and inserting the image into a content item.

Abstract: Various methods for computing relevancy are provided. One example method includes determining a behavior relevance factor for a user interface item, determining a semantic relevance factor for the user interface item, and determining an internal state of a user relevance factor for the user interface item. The example method further includes generating an overall relevance value for the user interface item. The overall relevance value may be a function of the behavior relevance factor, the semantic relevance factor, and the internal state of the user relevance factor. Similar and related example methods and example apparatuses are also provided.

Abstract: A system and method for extracting acoustic features and speech activity on a device and transmitting them in a distributed voice recognition system. The distributed voice recognition system includes a local VR engine in a subscriber unit and a server VR engine on a server. The local VR engine comprises a feature extraction (FE) module that extracts features from a speech signal, and a voice activity detection module (VAD) that detects voice activity within a speech signal. The system includes filters, framing and windowing modules, power spectrum analyzers, a neural network, a nonlinear element, and other components to selectively provide an advanced front end vector including predetermined portions of the voice activity detection indication and extracted features from the subscriber unit to the server. The system also includes a module to generate additional feature vectors on the server from the received features using a feed-forward multilayer perceptron (MLP) and providing the same to the speech server.

Abstract: Embodiments include systems and methods for providing location and object specific word completion assistance. Sensors may detect information regarding a landmark, location or object, and an embodiment may identify such landmarks, locations and objects and provide word lists to assist a user in entering text. Identification of such places and objects may include receiving information from one or more sensors; such information includes location and orientation information, near field communications information, and images. Images may be analyzed to determine objects and locations in the images.

Abstract: An apparatus for providing an adaptive word completion mechanism may include a processor. The processor may be configured to receive an indication of an input character corresponding to a word being entered, determine a situation profile corresponding to entry of the word, utilize a processor to adjust a probability of candidate words for completing the word being entered based at least in part on the situation profile, and provide at least one suggested word completion option to a user.

Abstract: An apparatus for providing a language based interactive multimedia system includes a selection element, a comparison element and a processing element. The selection element may be configured to select a phoneme graph based on a type of speech processing associated with an input sequence of phonemes. The comparison element may be configured to compare the input sequence of phonemes to the selected phoneme graph. The processing element may be in communication with the comparison element and configured to process the input sequence of phonemes based on the comparison.

Abstract: Provided are apparatuses and methods for efficiently transferring automatic speech recognition sessions from one engine to another. The user of a mobile device may initiate a speech recognition session on a first speech recognition engine and automatically transfer the session to a second speech recognition engine for seamless completion of the speech recognition session.

Abstract: A distributed voice recognition system and method for obtaining acoustic features and speech activity at multiple frequencies by extracting high frequency components thereof on a device, such as a subscriber station and transmitting them to a network server having multiple stream processing capability, including cepstral feature processing, MLP nonlinear transformation processing, and multiband temporal pattern architecture processing. The features received at the network server are processed using all three streams, wherein each of the three streams provide benefits not available in the other two, thereby enhancing feature interpretation. Feature extraction and feature interpretation may operate at multiple frequencies, including but not limited to 8 kHz, 11 kHz, and 16 kHz.