A radio receiver is made much more immune to jamming signals. A vector EM sensor, in a 2-dimensional (3-axis sensor) or 3-dimensional (6-axis sensor) sensor configuration, is combined with a unique digital rotation to a preferred direction to create a new reference channel and, using an advanced frequency domain noise mitigation algorithm or other noise cancellation algorithm, can effectively reject jamming and other interference signals and improve the signal-to-noise ratio (20-40 dB) and the receiving performance of the receiver. The method can cancel both near-field and far-field interference and improve accuracy for various applications concerned with establishing the direction, or bearing, to a source. A communication receiver with the vector sensor and the cancellation algorithm has unique anti-jamming capabilities even for multiple jamming sources.

A system and method for improving the performance of a hands-free voice user interface system while minimizing the computational complexity without sacrificing performance. Specifically, when estimating the location of the talker for the purpose of steering a directional beam in the direction of the active talker. A hands-free voice user interface system requires a clean signal to be streamed to the cloud for recognition. One way to improve the speech signal is to estimate where the talker is and steer a beam in the direction of the active talker. To locate the talker to a localized position, a direction of arrival estimator (DOA) algorithm is used. DoA generally requires noise and echo free signal for optimal estimation, but it is computationally expensive to run audio pre-processing such as an acoustic echo cancellation for each microphone in microphone array. To reduce computational complexity, the system and method extract certain range of frequency and operate pre-processing only on the selected frequency. By properly selecting the frequency range, it does not degrade DoA accuracy while significantly reducing computational complexity.

A face recognition method and apparatus are provided. The method is applicable to an electronic device including a sound receiving device and an image capturing device, and includes the following steps: detecting a direction of a sound source by using the sound receiving device, to capture an image in the direction by using the image capturing device; detecting and tracking a face in the image, to assign an image identification to the face according to a tracking result; determining whether the image identification exists in multiple cluster identifications recognized in a data set of face recognition; and in response to the image identification not existing in the data set, acquiring a feature value of the face and comparing the feature value of the face with a feature value of a face of each cluster identification to update a cluster identification to which the face belongs according to a comparison result.

A method includes receiving a first wireless signal detected by a first device in an environment, the first wireless signal including a first distortion pattern caused by an object moving in the environment, receiving a second wireless signal detected by a second device in the environment, the second wireless signal including a second distortion pattern caused by the object moving in the environment, determining, by comparing the first distortion pattern to the second distortion pattern, that the first distortion pattern and the second distortion pattern correspond to a same movement event associated with the object moving in the environment, determining a timing offset between the first device and the second device based on information associated with the first distortion pattern and the second distortion pattern, and determining, based on the timing offset, temporal correspondences between data generated by the first device and data generated by the second device.

A mobile body detection means 85: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

A mobile body detection means 85: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

According to examples, an apparatus may include a processor and a non-transitory computer readable medium on which is stored instructions that the processor may execute to access an audio signal captured by a microphone of a user's speech while the microphone is in a muted state. The processor may also execute the instructions to analyze a spectral or frequency content of the accessed audio signal to determine whether the user was facing the microphone while the user spoke. In addition, based on a determination that the user was facing the microphone while the user spoke, the processor may execute the instructions to unmute the microphone.

Sound direction detection devices include cylinders or other longitudinally extended structures having rotational symmetry about their longitudinal axes and multiple, rotationally equivalent resonators contained therein. Each resonator contains a microphone or other transducer that is activated when the resonator resonates.

Methods and apparatus for anchoring a boat are described. Novel methods provide means for sensing and measuring the real time rate and length of rode release based on detecting real time changes in the angular position of a windlass by computer vision using a portable computing device. Rode release is also detected using novel methods based on sensing sound, rode chain movement, and sensing acceleration and/or motion. The apparatus can include software operable to provide safe anchoring based on monitoring real times values of the rate and length of rode release, comparing these values to the speed and position of the boat, and providing local and remote status and alarm information to crew members.

An acoustic vector sensor and a method of detecting an acoustic vector are described. An object suspended in the fluid medium by a non-contact support structure. The object and the non-contact support structure are configured so that the object moves in response to any disturbance of the fluid by an acoustic wave; The non-contact support structure of the object comprises a plurality of solenoids that each produce a magnetic field in a fluid medium. A measurement measures movement of the object. A processing device determines an acoustic intensity vector of the acoustic wave based on the measured movement of the object.