Google Inc.

Xerox Corporation

Placeware, Incorporated

Other

Reflektion, Inc.

Lu, Jiakang

Dixon, Michael

Smith, Zach B.

Gujjaru, Sunny Vardhan

Michael D Dixon

Dongeek Shin

Rajeev Conrad Nongpiur

Yash Modi

Andrew William Goldenson

Yoky Matsuoka

Jason Evans Goulden

James Edward Stewart

Scott P Mullins

Brian Jonathan Conner

Jacobi Colton Grillo

Jeffrey Alan Boyd

Hae Rim Jeong

Seungho Yang

Minjung Kim

Christopher Charles Burns

Rochus Emanuel Jacob

Anthony Michael Fadell

David Hendler Sloo

Matthew Lee Rogers

Mark Rajan Malhotra

John Ogden Lamping

Kenneth Louis Herman

Nick Webb

Shwetak N Patel

Bryan J James

Kevin Charles Peterson

Aveek Ravishekhar Purohit

Laura Rabb

Jay Dare Logue

Grant Michael Erickson

Ronald A Frederick

Andrea Colaco

Ghulam Ahmed Kirmani

Allen Joseph Minich

Jeffery Theodore Lee

Johan De Kleer

Alan G Bell

Sepandar D Kamvar

Brandon Charles Barbello

George Alban Heitz

Matthew G Neeley

Rengarajan Aravamudhan

Yu-An Lien

Sahana Mysore

Sayed Yusef Shafi

Haerim Jeong

Etienne Bérubé

Robert M VanDuyn

James J Des Rivieres

Thomas G Beaman

Robert P Ferraro

Raymond I Mason

David A Nichols

Gwendolyn Van Der Linden

Pavel Curtis

Gregor J Kiczales

William Greene

Jiakang Lu

Luis Villaran

Casey Mills Davis

Brian C Smith

Jake Garrison

Sunny Vardhan Gujjaru

Ajay Kannan

Nathan Stoll

Michael J Lammers

Hsiao-Ping Tseng

Rochus Emmanuel Jacob

Ashton Udall

Hamid Savoj

William C Brougher

Aj Minich

David Berthelot

Anupam Pathak

David Carl Janssens

Jeffrey Yu

Srivatsan Varadharajan

Reena Singhal Lee

James D Tucek

Desmond Chik

Ken Mixter

Shankaranand Swaminathan Iyer

Rajeev Madhavan

Mercedes Mapua

Patrick Mihelich

Win Min

Zach B Smith

Michael Lammers

This application is directed to a doorbell camera for illuminating and capturing scenes. The doorbell camera includes at least a subset of processors for operating a camera module, an image sensor having a field of view of a scene and configured to capture video of a portion of the scene, one or more infrared (IR) illuminators for providing illumination, a waterproof button assembly, and a microphone and a speaker for enabling a real-time conversation between a visitor located at the doorbell camera and a user of a remote client device. The waterproof button assembly is configured to receive a user press on a button top, block water from entering the electronic device, and display a visual pattern uniformly at a peripheral region of the button assembly using LEDs and light guide component that are disposed under the button top.

Doorbell camera

Various arrangements for monitoring for contactless human interactions and health using a single radar transmission modulation mode are provided. Radar chirps may be output by a radar sensor operating in a burst mode. The burst mode radar data stream may be monitored for a contactless human interaction performed by an active user. The burst mode radar data stream may be converted to a virtual continuous mode radar data stream. Health monitoring of an inactive user may be performed using the virtual continuous mode radar data stream.

Smart home device using a single radar transmission mode for activity recognition of active users and vital sign monitoring of inactive users

Various arrangements for performing radar-based measurement of vital signs. Waveform data may be received then filtered of data indicative of static objects to obtain motion-indicative waveform data. The motion-indicative waveform data may be analyzed to determine one or more frequencies of movement present within the motion-indicative waveform data. A spectral analysis may be performed on the motion-indicative waveform data to determine a spectral-analysis state of a monitored region. The spectral-analysis state of the monitored region may be determined to match a predefined spectral-analysis state during which vital sign monitoring is permitted. One or more vital signs of a monitored user present within the monitored region may be determined and output based on analyzing the motion-indicative waveform data.

Sleep tracking and vital sign monitoring using low power radio waves

A method of detecting and responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including determining that a visitor is approaching an entryway of the smart home environment; initiating a facial recognition operation while the visitor is approaching the entryway; initiating an observation window in response to the determination that a visitor is approaching the entryway; obtaining context information from one or more sensors of the smart home environment during the observation window; and at the end of the time window, initiating a response to the detected approach of the visitor based on the context information and/or an outcome of the facial recognition operation.

Systems and methods of detecting and responding to a visitor to a smart home environment

Various devices, systems and methods for performing contactless monitoring of the sleep of multiple users over a same time period are presented herein. Clustering may be performed based on data received from a radar sensor. Based on the clustering performed on the data received from the radar sensor, a determination may be made that two users are present within the region. In response to determining that two users are present, a midpoint location may be calculated between the clusters. A first portion of the data may be mapped to a first user and a second portion of the data may be mapped to a second user based on the calculated midpoint. Separate sleep analyses may be performed for the first user and the second user.

Contactless sleep detection and disturbance attribution for multiple users

A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.

Method, apparatus and system for passive infrared sensor framework

Various systems, devices, and methods for contactless sleep tracking are presented. Based on data received from a contactless sensor, such as a radar sensor, determine that a user has entered a sleep state. A transition time may be determined at which the user transitions from the sleep state to an awake state. An environmental event, based on data received from an environmental sensor, may be identified as occurring within a time period of the transition time. The user waking may be attributed to the environmental event based on the environmental event occurring within the time period of the transition time. An indication of the attributed environmental event as a cause of the user waking may be output.

Contactless sleep detection and disturbance attribution

Various arrangements for performing an initial setup process of a sleep tracking device are presented. User input may be received that requests a sleep tracking setup process be performed. In response to the user input, a detection process may be performed based on data received from the radar sensor to determine whether a user is present and static. In response to the detection process determining that the user is present and static, a consistency analysis may be performed over a time period to assess a duration of time that the user is present and static. Based on the consistency analysis, sleep tracking may be activated such that when the user is detected in bed via the radar sensor, the user's sleep is tracked.

Initializing sleep tracking on a contactless health tracking device

Various devices, systems and methods for performing targeted sleep tracking are presented herein. Multiple digital radar data streams from multiple antennas may be received. A direction optimization process may be performed to determine a first weighting and a second weighting. The first weighting may be applied to a first digital radar data stream. The second weighting may be applied to a second digital radar data stream. The weighted first digital radar data stream and the weighted second digital radar data stream may be combined to create a first directionally-targeted radar data stream. A sleep analysis can be performed based on the first directionally-targeted radar data stream. Sleep data may be output for a user based on the performed sleep analysis.

Precision sleep tracking using a contactless sleep tracking device

Methods, devices, and systems for contactless cough detection and attribution are presented herein. Audio data may be received using a microphone. A cough may be identified as having occurred based on the received audio data. Radar data may be received indicative of reflected radio waves from a radar sensor. A state analysis process may be performed using the received radar data. The detected cough may be attributed to a particular user based at least in part on the state analysis process performed using the radar data.

Contactless cough detection and attribution

A method of presenting appropriate actions for responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including detecting a visitor of the smart home environment; obtaining context information from the smart home environment regarding the visitor; based on the context information, identifying a plurality of appropriate actions available to a user of a client device for interacting with the visitor via the electronic greeting system; and causing the identified actions to be presented to the user of the client device.

Systems and methods of presenting appropriate actions for responding to a visitor to a smart home environment

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Palo Alto, CA, United States of America

Michael D Dixon