Abstract: A method and system are provided for parallactically synced acquisition of images about a common target from mutually displaced imaging positions. At least first and second imaging devices are disposed respectively at first and second imaging positions. The first imaging device is actuated to acquire a first image with a target of interest disposed at a predetermined relative position within a field of view thereof. The second imaging device is actuated to acquire a second image with the target of interest disposed within a field of view thereof. A target feature finder is executed in a processer to detect the target of interest within the second image. A plurality of user prompts are generated at the second imaging device responsive to detection of the target of interest in the second image.

Abstract: A system and method are provided for taxonomically distinguishing grouped segments of signal data captured in unconstrained manner for a plurality of sources. The system comprises a vector unit constructing for each of the grouped signal data segments at least one vector of predetermined form. A sparse decomposition unit selectively executes in at least a training system mode a simultaneous sparse approximation upon a joint corpus of vectors for a plurality of signal segments of distinct sources. The sparse decomposition unit adaptively generates at least one sparse decomposition for each vector with respect to a representative set of decomposition atoms. A discriminant reduction unit executes during the training system mode to derive an optimal combination of atoms from the representative set. A classification unit executes in a classification system mode to discover for an input signal segment a degree of correlation relative to each of the distinct sources.

Abstract: A system and method are provided for distinguishing biota, such as insect types, from overall images, images of their wings or of other body parts. The system and method exploit various techniques described herein, in combination with large scale capture of sample imagery to achieve a flexible mechanism for automated classification on biota of any type.

Abstract: A method and system are provided for parallactically synced acquisition of images about a common target from mutually displaced imaging positions. At least first and second imaging devices are disposed respectively at first and second imaging positions. The first imaging device is actuated to acquire a first image with a target of interest disposed at a predetermined relative position within a field of view thereof. The second imaging device is actuated to acquire a second image with the target of interest disposed within a field of view thereof. A target feature finder is executed in a processor to detect the target of interest within the second image. A plurality of user prompts are generated at the second imaging device responsive to detection of the target of interest in the second image.

Abstract: A system and method are provided for distinguishing biota, such as insect types, from overall images, images of their wings or of other body parts. The system and method exploit various techniques described herein, in combination with large scale capture of sample imagery to achieve a flexible mechanism for automated classification on biota of any type.

Abstract: A watchdog unit receives stay-alive signals from a programming device during programming of an implantable medical device. The watchdog unit maintains a watchdog timer, and resets the timer upon receipt of each stay-alive signal. If the watchdog timer expires, the watchdog unit changes a mode of operation of the implantable device, e.g., places the implantable medical device into a known, safe state. For example, the watchdog unit may cause the implantable medical device to suspend delivery of therapy, perform a power-on reset, and/or recall a known, safe, therapy delivery program.

Abstract: A method and system are provided for parallactically synced acquisition of images about a common target from mutually displaced imaging positions. At least first and second imaging devices are disposed respectively at first and second imaging positions. The first imaging device is actuated to acquire a first image with a target of interest disposed at a predetermined relative position within a field of view thereof. The second imaging device is actuated to acquire a second image with the target of interest disposed within a field of view thereof. A target feature finder is executed in a processer to detect the target of interest within the second image. A plurality of user prompts are generated at the second imaging device responsive to detection of the target of interest in the second image.

Abstract: A system and method are provided for taxonomically distinguishing grouped segments of signal data captured in unconstrained manner for a plurality of sources. The system comprises a vector unit constructing for each of the grouped signal data segments at least one vector of predetermined form. A sparse decomposition unit selectively executes in at least a training system mode a simultaneous sparse approximation upon a joint corpus of vectors for a plurality of signal segments of distinct sources. The sparse decomposition unit adaptively generates at least one sparse decomposition for each vector with respect to a representative set of decomposition atoms. A discriminant reduction unit executes during the training system mode to derive an optimal combination of atoms from the representative set. A classification unit executes in a classification system mode to discover for an input signal segment a degree of correlation relative to each of the distinct sources.

Abstract: A method and system are provided for parallactically synced acquisition of images about a common target from mutually displaced imaging positions. At least first and second imaging devices are disposed respectively at first and second imaging positions. The first imaging device is actuated to acquire a first image with a target of interest disposed at a predetermined relative position within a field of view thereof. The second imaging device is actuated to acquire a second image with the target of interest disposed within a field of view thereof. A target feature finder is executed in a processor to detect the target of interest within the second image. A plurality of user prompts are generated at the second imaging device responsive to detection of the target of interest in the second image.

Abstract: A system and method are provided for distinguishing between a plurality of sources based upon unconstrained acoustic signals captured therefrom. A spectrographic transformation is applied to time-captured segments of acoustic signals to generate a spectral vector for each. A selectively executed sparse decomposition includes in a training system mode simultaneous sparse approximation upon a joint corpus of spectral vectors for a plurality of acoustic signal segments from distinct sources. At least one sparse decomposition is executed for each spectral vector in terms of a representative set of decomposition atoms. Discriminant reduction executes during the training system mode to down-select from the representative set an optimal combination of atoms for cooperatively distinguishing acoustic signals emitted by different distinct sources.

Abstract: An inspection apparatus determines information indicative of structure that may be hidden behind an obscuring boundary, such as a wall. A processor collects measurements of properties characterizing the hidden structure and measurements of location of the apparatus. The collected data are mapped to produce an image of intensity in the characteristic measurements. Each intensity value in the image reflects a measure of density, of material type, or of some other specific information by which hidden structure can be discerned. The intensity changes indicating the hidden structure are displayed to a user via color-coded pixels or the like.

Abstract: A system and method for aiming and alignment of a shell firing weapon includes a portable aiming unit that may be located in close proximity to the weapon that includes a reference head for emitting and/or receiving at least one energy ray. The portable aiming unit can be aligned to a reference azimuth, either absolute or relative. A sighting unit is also included in the system and removably mounted to the weapon. The sighting unit includes a reference head that is complementary to the reference head of the portable aiming unit. The at least one energy ray established between the portable aiming unit and the sighting unit provides an accurate relative reference of directing the weapons fire and monitoring linear and angular displacement of the weapon as it is fired so that corrections can be made in aiming the weapon in response thereto.

Abstract: A system and method are provided to operate upon image data electronically captured with complex spectral content in a plurality of image data pixels within a spatial image plane. A plurality of reference components are provided. A discovery processor is coupled to the general dictionary, and is programmably configured to execute a simultaneous sparse approximation process upon image data pixels of at least a portion of the captured image. The discovery processor discovers therefor a set of core spectral signatures defined in terms of selected reference components from the general dictionary. A match processor programmably configured to execute a selective matching process is also provided for transforming individual image data pixels into linear combinations of selected core spectral signatures. The constituent features of the captured image portion corresponding to the selectively matched core spectral signatures are discriminated according to the linear combination thereof.

Abstract: An inspection apparatus determines information indicative of structure that may be hidden behind an obscuring boundary, such as a wall. A processor collects measurements of properties characterizing the hidden structure and measurements of location of the apparatus. The collected data are mapped to produce an image of intensity in the characteristic measurements. Each intensity value in the image reflects a measure of density, of material type, or of some other specific information by which hidden structure can be discerned. The intensity changes indicating the hidden structure are displayed to a user via color-coded pixels or the like.

Abstract: An inspection apparatus determines information indicative of structure that may be hidden behind an obscuring boundary, such as a wall. A processor collects measurements of properties characterizing the hidden structure and measurements of location of the apparatus. The collected data are mapped to produce an image of intensity in the characteristic measurements. Each intensity value in the image reflects a measure of density, of material type, or of some other specific information by which hidden structure can be discerned. The intensity changes indicating the hidden structure are displayed to a user via color-coded pixels or the like.

Abstract: A system and method are provided for automatically correlating neurological activity to a predetermined physiological response. The system includes at least one sensor operable to sense signals indicative of the neurological activity, and a processing engine coupled to the sensor. The processing engine is operable in a first system mode to execute a simultaneous sparse approximation jointly upon a group of signals sensed by the sensor to generate signature information corresponding to the predetermined physiological response. The system further includes a detector coupled to the sensors, which is operable in a second system mode to monitor the sensed signals. The detector generates upon selective detection according to the signature information a control signal for actuating a control action according to the predetermined physiological response.

Abstract: A user, such as a clinician or the patient, uses a control device to manipulate at least one neurostimulation parameter. A mapping system uses a calibrated map to map the directional output of the control device to values of at least one stimulation parameter to allow the user to intuitively control the value of the parameter. In some embodiments, where a stimulation device is used to deliver spinal cord stimulation (SCS) therapy for example, the user manipulates a parameter to effect the location and/or strength of paresthesia experienced by the patient. In exemplary embodiments, the parameter values are combinations of electrodes, and the mapping system selects electrode combinations based on the output of the control device such that a direction of movement of paresthesia experienced by the patient corresponds to a direction of manipulation of a directional controller of the control device. The mapping system may calibrate the map based on patient paresthesia information received from a user.

Abstract: Signal characteristics, or signatures, defined by one or more forms of energy being transferred during the commission of an activity are captured in dimensionally-reduced numerical sequences. Dimensionality reduction is achieved such that reduced data acquired during a detection phase can be directly compared with such reduced data produced during system training. Activities, events, human identities and so on can be identified through such direct comparison. Dimensionality reduction, such as through sparse approximation or simultaneous sparse approximation, may produce combinations of scaled prototype functions. Such combinations or their parametric representations compactly describe the signal characteristics for purposes of discovering new activity signatures, of extracting test signals from a set of measurements and of comparing sets for purposes of detection and classification.

Abstract: A system and method whereby acoustic signals can be classified and identified as to nature and location of the original signal. The system and method determine from an arbitrary set of signals a signature or other characterizing feature and distinguish signals associated with a plurality of conditions by means of dictionaries comprising atoms of signals.

Abstract: A system and method whereby acoustic signals can be classified and identified as to nature and location of the original signal. The system and method determine from an arbitrary set of signals a signature or other characterizing feature and distinguish signals associated with a plurality of conditions by means of dictionaries comprising atoms of signals.