Systems and methods for enhanced blazed array and/or phased array sonar systems are described herein. In one aspect, a sonar system includes a blazed sonar array and/or phased sonar array having: at least one transducer connected to a housing of a vehicle; a transmitter, in electrical communication with the at least one transducer, causing the transducer to emit at least one sonar signal, the sonar signal having a Doppler sharpening pulse length and the vehicle having a Doppler sharpening velocity; a receiver, in electrical communication with the at least one transducer, for receiving signals from at least one transducer, the received signals corresponding to acoustic signals captured by the at least one transducer; and a processor, in electrical communication with the transmitter and receiver, arranged to control the Doppler sharpening pulse length and generate a 3D image based on the received signals, Doppler sharpening pulse length, and Doppler sharpening velocity.

In accordance with embodiments, methods and systems for utilizing multiple threshold checkers are provided. A range sensor collects measurement data. The range sensor examines the measurement data based on multiple threshold checkers to determine satisfaction of a trigger condition. In response to the satisfaction of the trigger condition, the range sensor provides the measurement data to a host computing device of the range sensor.

Systems and methods for performing operations based on acoustic locationing are described. An example device includes one or more microphones configured to sense sound waves propagating in an environment. The example device also includes one or more processors and one or more memories coupled to the one or more processors. The one or more memories store instructions that, when executed by the one or more processors, cause the device to recover sound wave information from the sensed sound waves, detect a presence of one or more persons in the environment based on the received sound wave information, determine an operation to be performed by one or more smart devices based on the detected presence of one or more persons, and instruct the one or more smart devices to perform the operation.

An approach to authentication, provisioning, and/or access control makes use of a user performing prescribed motion of their body and/or particular limbs (e.g., a prescribed number of steps in one or more directions), for example, as part of a challenge-response protocol. The motion may be detected using the radio frequency reflection techniques. Applications of this approach may include provisioning of equipment that monitors motion within an environment. In some examples, the environment is defined as part of the user performing the prescribed motion (e.g., the user walks around a boundary of their house).

A living body detection device includes a receiver that receives, from at least one non-contact sensor, a measurement result obtained by measuring a detection area with the at least one non-contact sensor, an extraction circuit that extracts a biological signal from the measurement result, a counting circuit that counts the number of living bodies present in the detection area from the biological signal, and an acquisition circuit that acquires a prescribed number of living bodies to be present in the detection area, and a verification circuit that verifies whether the number of living bodies counted by the counting circuit is equal to the prescribed number and outputs a result of verification.

Methods and apparatus for detecting presence of an object in an environment, the method including receiving a Doppler signal during a frame in frequency domain, separating the Doppler signal in the frequency domain into a plurality of sub-band signals, determining a plurality of sub-band signal energies corresponding to the plurality of sub-band signals, determining whether motion of the object is detected in accordance with one of the plurality of sub-band signal energies and a baseline energy, and responsive to a determination that motion of the object is detected, setting a flag of object presence.

A motion-sensitive acoustic speaker may include a housing; a transmitter associated with the housing, a receiver associated with the housing, a interface component associated with the housing, and a processing device. The processing device is configured to: cause the transmitter to emit a first motion detection signal having an active phase and an idle phase; detect movement in an environment of the primary motion-sensitive acoustic speaker; cause a change in a state of the interface component in response to detection of movement in the environment of the motion-sensitive acoustic speaker; detect a presence of a secondary motion-sensitive acoustic speaker in the environment of the motion sensitive acoustic speaker; determine an idle period associated with the idle phase of the second motion detection signal during which a transmitter associated with the secondary motion-sensitive acoustic speaker is not actively transmitting; and cause the transmitter of the motion-sensitive acoustic speaker to emit the first motion detection signal such that the active phase of the first motion detection signal occurs within the idle period.

Various implementations include a personal sonar system sized to be worn on a body of a user. In some cases, the system includes: at least one acoustic transmitter for transmitting ultrasonic signals into an environment proximate the user; at least two acoustic receivers for receiving return ultrasonic signals from the environment proximate the user; a directional indication system for providing a directional output to the user; and a controller coupled with the at least one transmitter, the at least two acoustic receivers, and the directional indication system, the controller configured to: identify a physical object within the environment proximate the user based on the return ultrasonic signals; and initiate the directional output at the directional indication system based on the identified physical object within the environment.

Techniques enabling improved classification of touch or hover interactions of objects with a touch sensitive surface of a device are presented. A speaker of the device can emit an ultrasonic audio signal comprising a first frequency distribution. A microphone of the device can detect a reflected audio signal comprising a second frequency distribution. The audio signal can be reflected off of an object in proximity to the surface to produce the reflected audio signal. A classification component can determine movement status of the object, or classify the touch or hover interaction, in relation to the surface, based on analysis of the signals. The classification component also can classify the touch or hover interaction based on such ultrasound data and/or touch surface or other sensor data. The classification component can be trained, using machine learning, to perform classifications of touch or hover interactions of objects with the surface.

Systems and methods for performing operations based on acoustic locationing are described. An example device includes one or more microphones configured to sense sound waves propagating in an environment. The example device also includes one or more processors and one or more memories coupled to the one or more processors. The one or more memories store instructions that, when executed by the one or more processors, cause the device to recover sound wave information from the sensed sound waves, detect a presence of one or more persons in the environment based on the received sound wave information, determine an operation to be performed by one or more smart devices based on the detected presence of one or more persons, and instruct the one or more smart devices to perform the operation.