A method for preventing a false touch of a screen includes: sending a bandpass ultrasonic signal; receiving a reflected ultrasonic signal; calculating frequency domain information of the reflected ultrasonic signal; calculating at least one ultrasonic feature vector according to the frequency domain information, the ultrasonic feature vector being used to characterize movement state information of the mobile terminal approaching or moving away from an obstacle; constructing a feature vector set comprising the at least one ultrasonic feature vector; determining whether a condition for preventing a false touch is met according to the feature vector set; disabling a touch function of the touch screen in a case where the condition for preventing the false touch is met.

A target detection and/or high resolution RF system is provided herein in which the resolution of a legacy target angle detection (direction of arrival) system is improved without any change to the existing hardware of the legacy target detection system. Rather, the target detection and/or high resolution RF system can apply virtual aperture postprocessing to reflected signals to achieve improvements in the detection of one or more targets.

An respirator}′ failure detection system and associated devices and methods are disclosed herein. In one embodiment, one or more transducers of a mobile device emit acoustic energy toward a subject and acquire a corresponding reflected signal. In some embodiments, the system analyzes the reflected signal to determine a distance between the subject and the mobile device. The system extracts motion data of the subject from the reflected signal. Based at least in part on the extracted motion data, the system identifies gross motor motion of the subject and/or determines one or more breathing parameters of the subject. In some embodiments, the system uses the breathing parameters to determine whether the subject is currently in need of rescue intervention. When the subject is currently in need of rescue intervention, the system can solicit help from emergency services, contact an emergency contact specified by the subject, and/or administer an antidote.

A survey system including a transmitter, receiver, projector array and hydrophone array transmits and receives sound waves to perform one or more survey missions.

The present disclosure provides means for detecting and tracking a moving object using RADAR and ultrasonic sensors. A stationary RADAR detects the moving object and estimates speed and two rotating ultrasonic sensors determine distance of the detected object. An incrementally changing orientation of the ultrasound sensors is associated with an angular speed of rotation based on a last logged distance of the moving object from the ultrasound sensors. Once the moving object is detected, based on an adaptively changing sampling frequency, the moving object is continuously tracked in real time. Conventionally, multiple RADARs are needed for location estimation and motion tracking. Also, merely using a RADAR in combination with an ultrasound sensor also does not serve the purpose since both sensors are static. The present disclosure provides a simple cost effective alternative that can find application in say tracking of an elderly person living alone in an unobtrusive manner.

Disclosed herein are portable ultrasound imaging systems for thumb-dominant operations comprising: a portable ultrasound probe, wherein the portable ultrasound probe is configured to be operable using a first hand of the user; a mobile device comprising a mobile application installed thereon, the mobile application comprising a user interface, the mobile application configured to be operable using a second hand of the user and; and direct electronic communication between the portable ultrasound probe and the mobile device, the direct electronic communication configured to allow a user to control an operation of the portable ultrasound probe for imaging via user interaction with the user interface.

A method comprising: providing an autonomous vehicle (AV) with a first estimated position of a target; directing the AV to travel toward the first estimated position at a constant velocity; receiving echo signals of transmitted sonar signals, the echo signals indicating a range and an azimuth of the target; determining a depth difference of the AV and the target based on the received echo signals, the depth difference being determined based on changes to the range and azimuth of the target over time; and in response to a depth difference existing, re-directing the AV toward a second estimated position of the target generated from the depth difference.

A test device for testing a detection device includes a reflection element with reflective surface where the reflective surface is a radar reflective surface and/or an ultrasound reflective surface. The reflection element is movable by a drive device periodically back and forth in a translational movement along a movement axis with respect to a housing of the test device. A movement of the reflection element produces a relative speed unequal to zero of the test device with respect to the detection device.

Techniques are disclosed for systems and methods to provide remote sensing imagery for mobile structures. A remote sensing imagery system includes a remote sensing assembly with a housing mounted to a mobile structure and a coupled logic device. The logic device is configured to receive radar returns corresponding to a detected target from the radar assembly, determine a target radial speed corresponding to the detected target, determine an adaptive target speed threshold, and then generate remote sensor image data based on the remote sensor returns, the target radial speed, and the adaptive target speed threshold. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

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.