Abstract: A multi-tier architecture is provided for processing user voice queries and making routing decisions for generating responses, including responses to book browsing requests and other content requests. When an utterance is associated with multiple applications in a given domain, the applications may be organized into a subdomain and a tier of routing decisions may be added to the inter-domain and intra-domain routing decision system. The system uses contextual signals to make subdomain routing decisions, including signals regarding content items that are already in a user's content catalog, consumption status of individual content items in the user's catalog, and the like.

Abstract: An ultrasonic fingerprint sensor in a mobile device is operated to capture an initial snapshot of reflection from a finger's surface, of acoustic energy transmitted at a first frequency. Additionally, the ultrasonic fingerprint sensor is operated repeatedly to capture over time, a sequence of sets, each set including one or more additional snapshots of reflection from one or more depths within the finger, of acoustic energy transmitted at a second frequency significantly lower than the first frequency. Measurements in the additional snapshots are processed to determine whether any signal oscillating at a rate in a normal range for heart rate or respiration rate is present. When a signal is found, its rate may be used in several ways, e.g. to enable functionality when a fingerprint in the initial snapshot matches a reference fingerprint, or to identify and track a heart rate (or a respiration rate) based on the signal's rate.

Abstract: For example, a radar data compressor may include an input to receive input digital raw data comprising digital samples of received radar signals at a plurality of receive (Rx) antennas; a raw data compressor configured to compress the input digital raw data into compressed digital data, for example, by wiping off from the input digital raw data one or more wiped-off signals, e.g., based on a wipe-off criterion applied to the input digital raw data; and a compressor output to provide compressed data including the compressed digital data, and signal parameter information defining the one or more wiped-off signals.

Abstract: For example, an apparatus may include a radar processor to process radar receive (Rx) data, the radar Rx data based on radar signals received via a plurality of Rx antennas of a Multiple-Input-Multiple-Output (MIMO) radar antenna; and to generate radar information by applying an Amplitude Phase Estimation (APES) calculation to the radar Rx data.

Abstract: For example, a radar apparatus may include an input to receive radar receive (Rx) data, the radar Rx data based on radar signals received via a plurality of Rx antennas of Multiple-Input-Multiple-Output (MIMO) radar antenna; and a radar processor configured to generate radar information based on the radar Rx data by calibrating an antenna Mismatch (MM) of the MIMO radar antenna such that the radar information includes an Angle of Arrival (AoA) spectrum having a Peak Side Lobe Level (PSLL) of at least 30 decibel (dB).

Abstract: A multi-tier architecture is provided for processing user voice queries and making routing decisions for generating responses, including responses to book browsing requests and other content requests. When an utterance is associated with multiple applications in a given domain, the applications may be organized into a subdomain and a tier of routing decisions may be added to the inter-domain and intra-domain routing decision system.

Abstract: Techniques are disclosed implementing two alternative approaches for adaptive beamforming for MIMO radar. The first of these includes a “reduced complexity” iterative adaptive approach (RC-IAA) algorithm, which uses two steps including a delay-and-sum beamforming step (DAS-BF) and an IAA step that is applied to the output generated by the DAS-BF step. A second technique is described that includes a “beam space” iterative adaptive approach (BS-IAA) algorithm, which uses three steps including a delay-and-sum beamforming step (DAS-BF), a region of interest (ROI) detection step that is applied to the output generated by the DAS-BF, and an IAA step that is applied to detected ROIs.

Abstract: For example, an apparatus may include an interference detector configured to detect interference in a radar Received (Rx) signal. The interference detector may include an input to receive Transmit (Tx) parameter information of a radar Tx signal, wherein the radar Rx signal is based on the radar Tx signal; and a processor configured to determine interference detection information of an interfering signal based on the radar Rx signal and the Tx parameter information. The interference detection information may include one or more signal parameters corresponding to a shape of the interfering signal, and interference level information to indicate a level of noise caused by the interfering signal in the radar Rx signal.

Abstract: Some demonstrative aspects include radar apparatuses, devices, systems and methods. In one example, an apparatus may include a plurality of Transmit (Tx) antennas to transmit radar Tx signals, a plurality of Receive (Rx) antennas to receive radar Rx signals based on the Tx signals, and a processor to generate radar information based on the radar Rx signals. The apparatus may be implemented, for example, as part of a radar device, for example, as part of a vehicle including the radar device. In other aspects, the apparatus may include any other additional or alternative elements and/or may be implemented as part of any other device.

Abstract: A method of controlling an apparatus that includes an ultrasonic sensor system may involve controlling the ultrasonic sensor system to transmit a first ultrasonic compressional wave and receiving first signals from the ultrasonic sensor system. The first signals may include signals corresponding to reflections of the first ultrasonic compressional wave from a target object proximate a surface of the apparatus. The method may involve performing an authentication process based, at least in part, on the first signals. The method may involve controlling the apparatus to transmit a shear wave and receiving second signals from the ultrasonic sensor system. The second signals may include signals corresponding to reflections of the shear wave from the target object. The method may involve performing a spoof detection process based, at least in part, on the second signals.

Abstract: For example, an apparatus may include a radar processor to process radar receive (Rx) data, the radar Rx data based on radar signals received via a plurality of Rx antennas of a Multiple-Input-Multiple-Output (MIMO) radar antenna; and to generate radar information by applying an Amplitude Phase Estimation (APES) calculation to the radar Rx data.

Abstract: Described is a navigation solution calculation method and a user device. The method can include providing an assistance request to a server. One or more signal path signatures can be received from the server. The one or more signal path signatures can be associated with a first position of the user device. The one or more signal path signatures can be compared with one or more satellite signals received by the user device from one or more satellites. A second position of the user device can be determined based on the comparison.

Abstract: An apparatus may include an ultrasonic fingerprint sensor system and a control system. The control system may be configured for obtaining, via a scan of the fingerprint sensor system, current fingerprint image data from a surface of a target object, for extracting current fingerprint features from the current fingerprint image data and for determining whether the current fingerprint features match features of a previously-acquired fingerprint enrollment template. If there is a match, the control system may be configured for obtaining, via one or more additional scans of the fingerprint sensor system, current subsurface image data from a subsurface of the target object, for calculating an estimated biometric age of the target object, based at least in part on the current subsurface image data and for determining whether the estimated biometric age of the target object matches a previously-estimated biometric age.

Abstract: For example, a radar data compressor may include an input to receive input digital raw data comprising digital samples of received radar signals at a plurality of receive (Rx) antennas; a raw data compressor configured to compress the input digital raw data into compressed digital data, for example, by wiping off from the input digital raw data one or more wiped-off signals, e.g., based on a wipe-off criterion applied to the input digital raw data; and a compressor output to provide compressed data including the compressed digital data, and signal parameter information defining the one or more wiped-off signals.

Abstract: Techniques are disclosed implementing two alternative approaches for adaptive beamforming for MIMO radar. The first of these includes a “reduced complexity” iterative adaptive approach (RC-IAA) algorithm, which uses two steps including a delay-and-sum beamforming step (DAS-BF) and an IAA step that is applied to the output generated by the DAS-BF step. A second technique is described that includes a “beam space” iterative adaptive approach (BS-IAA) algorithm, which uses three steps including a delay-and-sum beamforming step (DAS-BF), a region of interest (ROI) detection step that is applied to the output generated by the DAS-BF, and an IAA step that is applied to detected ROIs.

Abstract: An apparatus may include an ultrasonic fingerprint sensor system and a control system. The control system may be configured for obtaining, via a scan of the fingerprint sensor system, current fingerprint image data from a surface of a target object, for extracting current fingerprint features from the current fingerprint image data and for determining whether the current fingerprint features match features of a previously-acquired fingerprint enrollment template. If there is a match, the control system may be configured for obtaining, via one or more additional scans of the fingerprint sensor system, current subsurface image data from a subsurface of the target object, for calculating an estimated biometric age of the target object, based at least in part on the current subsurface image data and for determining whether the estimated biometric age of the target object matches a previously-estimated biometric age.

Abstract: An ultrasonic fingerprint sensor in a mobile device is operated to capture an initial snapshot of reflection from a finger's surface, of acoustic energy transmitted at a first frequency. Additionally, the ultrasonic fingerprint sensor is operated repeatedly to capture over time, a sequence of sets, each set including one or more additional snapshots of reflection from one or more depths within the finger, of acoustic energy transmitted at a second frequency significantly lower than the first frequency. Measurements in the additional snapshots are processed to determine whether any signal oscillating at a rate in a normal range for heart rate or respiration rate is present. When a signal is found, its rate may be used in several ways, e.g. to enable functionality when a fingerprint in the initial snapshot matches a reference fingerprint, or to identify and track a heart rate (or a respiration rate) based on the signal's rate.

Abstract: Methods and apparatuses for detecting touch motion with ultrasonic sensors are disclosed. In one embodiment, a method of detecting a touch motion with an ultrasonic sensor in an imaging apparatus may include sensing a series of scanned ultrasonic images of the touch motion, removing common components in the series of scanned ultrasonic images, determining correlations among the series of scanned ultrasonic images, and determining the touch motion based on the correlations among the series of scanned ultrasonic images.

Abstract: Described is a navigation solution calculation method and a user device. The method can include providing an assistance request to a server. One or more signal path signatures can be received from the server. The one or more signal path signatures can be associated with a first position of the user device. The one or more signal path signatures can be compared with one or more satellite signals received by the user device from one or more satellites. A second position of the user device can be determined based on the comparison.