The present disclosure provides a method and an apparatus for noise reduction, and a headset. The method of noise reduction includes: acquiring a first reference noise signal; acquiring an initial direction of desired speech in response to a trigger signal; acquiring a real-time direction of desired speech based on a real-time orientation of the headset and the initial direction of desired speech, the real-time orientation being obtained by orientation tracking for the headset; filtering out a desired speech signal from the first reference noise signal to acquire an undesired noise signal, the desired speech signal being extracted in the real-time direction of desired speech; and filtering the undesired noise signal to output an inverse noise signal for speaker playback. Thus, using the method of noise reduction, not only the undesired noise in the ambient noise can be cancelled, but also the desired speech signal can be retained.

An indoor positioning system and method are provided. The indoor positioning method includes: establishing an image database through a BIM model of a target area, and using a trained deep learning model to extract features of a virtual image; after obtaining a captured image in the target area, using the trained deep learning model to extract features thereof, and performing similarity matching with the image database to calculate a spatial position of a most similar image; calculating the most similar image and its essential matrix through multiple sets of feature points, and obtaining capturing positions and capturing pose parameters as positioning results; projecting the BIM model to a tracking captured image, and updating the positioning results and the capturing pose parameters with a visual inertial odometer; and continuously correcting the positioning results and the capturing pose parameters by detecting horizontal and vertical planes from the tracking captured image.

An indoor positioning system and method are provided. The indoor positioning method includes: establishing an image database through a BIM model of a target area, and using a trained deep learning model to extract features of a virtual image; after obtaining a captured image in the target area, using the trained deep learning model to extract features thereof, and performing similarity matching with the image database to calculate a spatial position of a most similar image; calculating the most similar image and its essential matrix through multiple sets of feature points, and obtaining capturing positions and capturing pose parameters as positioning results; projecting the BIM model to a tracking captured image, and updating the positioning results and the capturing pose parameters with a visual inertial odometer; and continuously correcting the positioning results and the capturing pose parameters by detecting horizontal and vertical planes from the tracking captured image.

Electronic devices that detect their position and/or orientation with respect to earth's frame of reference are described. A coupler can removeably maintain the electronic devices in physical proximity of one another. Each electronic device can have a housing and the coupler can be included on the housing and arranged to physically connect the housing of the electronic device to the housing of at least one other electronic device. Alternatively, the coupler can be a packaging that maintains the electronic devices in physical proximity of one another. Each electronic device can be calibrated using the orientation or position information obtained by other electronic devices maintained by the coupler. Further, each electronic device can include a power source that remains inactive until the device is ready for use.

Electronic devices that detect their position and/or orientation with respect to earth's frame of reference are described. A coupler can removeably maintain the electronic devices in physical proximity of one another. Each electronic device can have a housing and the coupler can be included on the housing and arranged to physically connect the housing of the electronic device to the housing of at least one other electronic device. Alternatively, the coupler can be a packaging that maintains the electronic devices in physical proximity of one another. Each electronic device can be calibrated using the orientation or position information obtained by other electronic devices maintained by the coupler. Further, each electronic device can include a power source that remains inactive until the device is ready for use.

A method of controlling a gimbal includes receiving angular velocity information transmitted by a somatosensory controller, the angular velocity information including an angular velocity of the somatosensory controller in a geodetic coordinate system, determining a target attitude of the gimbal according to the angular velocity information, and controlling the gimbal according to the target attitude.

A method of controlling a gimbal includes receiving angular velocity information transmitted by a somatosensory controller, the angular velocity information including an angular velocity of the somatosensory controller in a geodetic coordinate system, determining a target attitude of the gimbal according to the angular velocity information, and controlling the gimbal according to the target attitude.

A system for analyzing starts and acceleration phases in squat-style track and field events has: a launching stand, a plurality of wireless cameras, a technical analysis host, two foot tracking devices and a gyro group. The launching stand has at least one acceleration sensor and an adjusting support connected to two pedals. The technical analysis host is connected to the acceleration sensor and the wireless cameras, the acceleration sensor actives the wireless cameras to collect instantaneous speed data of a runner, and the technical analysis host generates a 100 m speed curve L1 of the runner, and the 100 m speed curve L1 includes a continuous reduced acceleration section L2. The two foot tracking devices are installed on two feet of each runner. The gyro group have a first gyro, a second gyro, a third gyro and a fourth gyro.

A system for analyzing starts and acceleration phases in squat-style track and field events has: a launching stand, a plurality of wireless cameras, a technical analysis host, two foot tracking devices and a gyro group. The launching stand has at least one acceleration sensor and an adjusting support connected to two pedals. The technical analysis host is connected to the acceleration sensor and the wireless cameras, the acceleration sensor actives the wireless cameras to collect instantaneous speed data of a runner, and the technical analysis host generates a 100 m speed curve L1 of the runner, and the 100 m speed curve L1 includes a continuous reduced acceleration section L2. The two foot tracking devices are installed on two feet of each runner. The gyro group have a first gyro, a second gyro, a third gyro and a fourth gyro.

Described herein are methods and systems for controlling a sensor assembly with a plurality of same type sensors. Sensors are operated in active and inactive states. The activation state of at least one of the sensors is changed based on an operational parameter that relates to an environmental condition differentially affecting the plurality of same type sensors.