John R Jacobs

US Patent:

20130207824, Aug 15, 2013

Filed:

Aug 17, 2012

Appl. No.:

13/588643

Inventors:

Richard Waters - San Diego CA, US
Brad Chisum - San Diego CA, US
Mark Fralick - San Diego CA, US
John D. Jacobs - San Diego CA, US
Ricardo Dao - San Diego CA, US
David Carbonari - Murrieta CA, US
Jacques Leveilli - Houston TX, US

International Classification:

H03M 1/12

US Classification:

341155

Abstract:

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.

US Patent:

20220413620, Dec 29, 2022

Filed:

Aug 25, 2022

Appl. No.:

17/822277

Inventors:

- Mountain View CA, US
Ivan Poupyrev - Los Altos CA, US
Leonardo Giusti - San Francisco CA, US
Devon James O'Reilley Stern - Oakland CA, US
Jung Ook Hong - Sunnyvale CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G01S 13/06
G01S 7/41

Abstract:

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.

US Patent:

20220261084, Aug 18, 2022

Filed:

Apr 29, 2022

Appl. No.:

17/661494

Inventors:

- Mountain View CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Devon James O'Reilley Stern - Oakland CA, US
Ivan Poupyrev - Los Altos CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US
Johan Prag - Mountain View CA, US
Artur Tsurkan - San Francisco CA, US
Alok Chandel - Mountain View CA, US
Lucas Dupin Moreira Costa - Mountain View CA, US
Selim Flavio Cinek - Los Angeles CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G06V 40/20

Abstract:

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.

US Patent:

20210342008, Nov 4, 2021

Filed:

Sep 27, 2019

Appl. No.:

16/965735

Inventors:

- Mountain View CA, US
Ivan Poupyrev - Los Altos CA, US
Leonardo Giusti - San Francisco CA, US
Devon James O'Reilley Stern - Oakland CA, US
Jung Ook Hong - Sunnyvale CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G01S 7/41
G01S 13/06

Abstract:

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.

US Patent:

20210064146, Mar 4, 2021

Filed:

Jun 25, 2020

Appl. No.:

16/912635

Inventors:

- Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Lauren Bedal - San Francisco CA, US
John David Jacobs - San Diego CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G01S 7/41
G06F 3/0346
G09G 5/373
G09G 5/10
G09G 5/02

Abstract:

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.

US Patent:

20210026454, Jan 28, 2021

Filed:

May 28, 2020

Appl. No.:

16/886626

Inventors:

- Mountain View CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Devon James O'Reilley Stern - Oakland CA, US
Ivan Poupyrev - Los Altos CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US
Johan Prag - Mountain View CA, US
Artur Tsurkan - San Francisco CA, US
Alok Chandel - Mountain View CA, US
Lucas Dupin Moreira Costa - Mountain View CA, US
Selim Flavio Cinek - Los Angeles CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G06K 9/00

Abstract:

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.

US Patent:

20170003314, Jan 5, 2017

Filed:

Jun 30, 2016

Appl. No.:

15/198924

Inventors:

- San Diego CA, US
Xiaojun Huang - San Diego CA, US
John David Jacobs - San Diego CA, US
Yanting Zhang - San Diego CA, US
Mark Steven Fralick - San Diego CA, US

International Classification:

G01P 15/125

Abstract:

Sensors and systems are described herein for out-of-plane sensing. In particular, the sensors and systems relate to vibratory inertial sensors implementing time-domain sensing techniques with linear combinations of multiple signals. In out-of-plane sensing, these multiple signals may be produced from a single sense mass oscillation. Time intervals produced from linear combinations of these multiple signals can be used to measure inertial parameters, such as acceleration, and other values of interest.

US Patent:

20160341758, Nov 24, 2016

Filed:

May 20, 2016

Appl. No.:

15/160091

Inventors:

- San Diego CA, US
Mark Steven Fralick - San Diego CA, US
John David Jacobs - San Diego CA, US

Assignee:

Lumedyne Technologies Incorporated - San Diego CA

International Classification:

G01P 15/08
G01C 19/04

Abstract:

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.