Lumedyne Technologies, Inc.

Google Inc.

Other

John David Jacobs

Richard Lee Waters

Mark Steven Fralick

Charles Harold Tally, Iv

Vignesh Sachidanandam

Leonardo Giusti

Devon James O'Reilley Stern

Xiaojun Huang

Ivan Poupyrev

Patrick M Amihood

Brandon Charles Barbello

Tyler Reed Kugler

Abel Seleshi Mengistu

Jung Ook Hong

Yanting Zhang

Alok Chandel

Selim Flavio Cinek

Lucas Dupin Moreira Costa

Artur Tsurkan

Johan Prag

Brad Wesley Chisum

Lauren Bedal

Jacques Pierre Leveille

Ricardo E Dao

David Carbonari

Jeffrey Alan Brayshaw

Devon James O'Reilly Stern

This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or 'gate' the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

Context-sensitive control of radar-based gesture-recognition

Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

Robust radar-based gesture-recognition by user equipment

This document describes techniques and systems that enable a visual indicator for paused radar gestures. The techniques and systems use a radar field to enable an electronic device to accurately determine radar gestures, or other movement, by a user. Further, the electronic device can determine certain conditions that can make it difficult for the electronic device to properly determine the user's radar gestures. When the device includes an application that can be controlled using radar gestures (a radar-gesture application), and the conditions are present, the device can enter a gesture-paused mode. When the device enters this mode, the techniques provide a gesture-paused feedback element on a display, which lets the user know that there is at least one radar-gesture application available or running on the electronic device but that radar gestures cannot presently be used to control the application.

Visual indicator for paused radar gestures

This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor () and/or a movement sensor () produces a context of a user equipment (). The techniques and systems enable the user equipment () to recognize contexts when a radar system () can be unreliable and should not be used for gesture-recognition, enabling the user equipment () to automatically disable or 'gate' the output from the radar system () according to context. The user equipment () prevents the radar system () from transitioning to a high-power state () to perform gesture-recognition in contexts where radar data detected by the radar system () is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

Systems and techniques are described for robust radar-based gesture-recognition. A radar system () detects radar-based gestures on behalf of application subscribers. A state machine () transitions between multiple states based on inertial sensor data. A no-gating state () enables the radar system () to output radar-based gestures to application subscribers. The state machine () also includes a soft-gating state () that prevents the radar system () from outputting the radar-based gestures to the application subscribers. A hard-gating state () prevents the radar system () from detecting radar-based gestures altogether. The techniques and systems enable the radar system () to determine when not to perform gesture-recognition, enabling user equipment () to automatically reconfigure the radar system () to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

Systems and methods are described herein for extracting inertial information from nonlinear periodic signals. A system for determining an inertial parameter can include circuitry configured for receiving a first periodic analog signal from a first sensor that is responsive to motion of a proof mass, converting the first periodic analog signal to a first periodic digital signal, determining a result of trigonometrically inverting a quantity, the quantity based on the first periodic digital signal, and determining the inertial parameter based on the result.

Extracting inertial information from nonlinear periodic signals

Systems and methods are described herein for extracting inertial information from nonlinear periodic signals. A system for determining an inertial parameter can include circuitry configured for receiving first and second analog signals from first and second sensors, each sensor responsive to motion of a proof mass. The system can include circuitry configured for determining a difference between the first and second analog signals, determining a plurality of timestamps corresponding to times at which the difference crosses a threshold, and determining a plurality of time intervals based on the timestamp. The system can include circuitry configured for determining a result of applying a trigonometric function to a quantity, the quantity based on the plurality of time intervals and determining the inertial parameter based on the result.

Systems and methods are disclosed herein for extracting system parameters from nonlinear periodic signals from sensors. A sensor such as an inertial device includes a first structure and a second structure that is springedly coupled to the first structure. The sensor is configured to generate an output voltage based on a current between the first and second structures. Monotonic motion of the second structure relative to the first structure causes a reversal in direction of the current.

Systems and methods for extracting system parameters from nonlinear periodic signals from sensors

Systems and methods are disclosed herein for determining rotation. A gyroscope includes a drive frame and a base, the drive frame springedly coupled to the base. The gyroscope includes a drive structure configured for causing a drive frame to oscillate along a first axis. The gyroscope includes a sense mass springedly coupled to the drive frame. The gyroscope includes a sense mass sense structure configured for measuring a displacement of the sense mass along a second axis orthogonal to the first axis. The gyroscope includes measurement circuitry configured for determining a velocity of the drive frame, extracting a Coriolis component from the measured displacement, and determining, based on the determined velocity and extracted Coriolis component, a rotation rate of the gyroscope.

Systems and methods for controlling oscillation of a gyroscope

Systems and methods for determining rotation from nonlinear periodic signals

A time domain switching analog-to-digital converter apparatus and methods of utilizing the same. In one implementation, the converter apparatus comprises a carrier signal source, and at least one reference source. The carrier signal is summed with the input signal and the summed modulated signal is fed to a comparator circuit. The comparator is configured detects crossings of the reference level by the modulated waveform thereby generating trigger events. The time period between consecutive trigger events is used to obtain modulated signal deviation due to the input signal thus enabling input signal measurement. Control of the carrier oscillation amplitude and frequency enables real time adjustment of the converter dynamic range and resolution. The use of additional reference signal levels increases sensor frequency response and accuracy. A dual channel converter apparatus enables estimation and removal of common mode noise, thereby improving signal conversion accuracy.

Time domain switched analog-to-digital converter apparatus and methods

A generally triangular hook-on scaffolding support is formed by the alignment of a horizontal elongated top member over an angled brace and a vertical brace. A short section of serrated angle iron affixed transversely to one end of the top member abuts to inside surfaces of an opened stud wall and in conjunction with a wedge bracket and wedge board provides a strong pressure fitting for securing the scaffold in a stable position outside or by reverse attachment inside a building under construction. Another short angle iron section affixed to the distal end of the angled brace is adapted as a brace foot to engage the lengthwise edge of a horizontal board, either the bottom sole plate of the wall frame or a board nailed between studs, to provide base support for the scaffold. The scaffold can therefore be positioned at any height along the opened framed wall without the use of ground level support, nailing the hook-on scaffolding support to the framed wall, or assemblage of accessory parts.

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San Diego, CA, United States of America

John David Jacobs