Google Inc.

Kelly Elizabeth Dobson

Nina R Sinatra

Ricky Bomber

Christopher David Workman

Richard Francis Lyon

Ara N Knaian

Alex Olwal

Demetrious Mark Harrington

Shahriar Khushrushahi

Artem Dementyev

Karolis Misiunas

Vahe Tshitoyan

Franziska Schlagenhauf

Kurtis Robert Gross

Steve Albert Oh

Brian Foo

Julian Maclaren

Rachel Chaney

Elena Koukina

Veton Saliu

William Earl Singhose

Khalid Lief Sorensen

Rafeed A Chaudhury

Yvan Stephane Pearson Lecours

Nicolai Munk Petersen

This document describes techniques and devices for blood-solute calculation with a mobile device using non-invasive spectroscopy. A mobile device () includes a light source () that emits light toward an interferometer () that uses mirrors to separate and recombine the light. The interferometer directs the recombined light toward a person. Light reflected from, or transmitted through, the person is received through a reception port () to a photodetector () that outputs photodetector data that corresponds to a measured light intensity of the reflected and transmitted light as a function of a path length of the light or a mirror position of the interferometer. Based on the photodetector data, an interferogram is generated. Applying a technique such as a Fourier transform to the interferogram, a spectrum data set of the reflected and transmitted light is generated. Based on the spectrum data set, a concentration of solutes in the person's blood is calculated.

Blood-solute calculation with a mobile device using non-invasive spectroscopy

A haptic system can include a user device including one or more haptic actuators and one or more sensors. The haptic system can be configured to perform operations including controlling the haptic actuator(s) to produce a haptic output based on a haptic output profile associated with a desired action of a user of the haptic system; detecting, using the one or more sensors, one or more user response characteristics in response to the haptic output; determining, based at least in part on the one or more user response characteristics, data describing a user action of the user performed after the haptic actuator(s) produces the haptic output; comparing the data describing the user action with data indicative of the desired action to generate an effectiveness metric; and determining a subsequent haptic output profile for a subsequent haptic output based at least in part on the effectiveness metric.

Systems and methods for customizing a haptic output of a haptic actuator of a user device

Various systems, devices, and methods for social interaction measurement that preserve privacy are presented. An audio signal can be captured using a microphone. The audio signal can be processed using an audio-based machine learning model that is trained to detect the presence of speech. The audio signal can be discarded such that content of the audio signal is not stored after the audio signal is processed using the machine learning model. An indication of whether speech is present within the audio signal can be output based at least in part on processing the audio signal using the audio-based machine learning model.

Privacy-preserving social interaction measurement

A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force ('EMF') of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

Integrated sensing and actuation module for wristband enabling identification and/or compensation for band tightness

This document describes techniques and devices for Fourier-transform infrared (FT-IR) spectroscopy using a mobile device. A mobile device () includes a light source () that emits light toward an interferometer () that uses mirrors to separate and recombine the light. The interferometer directs the recombined light toward a person. Light reflected from, or transmitted through, the person is received through a reception port () to a photodetector () that outputs photodetector data that corresponds to a measured light intensity of the reflected and transmitted light as a function of a path length of the light or a mirror position of the interferometer. Based on the photodetector data, an interferogram is generated. Applying a technique such as a Fourier transform to the interferogram, a spectrum data set of the reflected and transmitted light is generated. Based on the spectrum data set, a concentration of solutes in the person's blood is calculated.

Fourier-transform infrared (FT-IR) spectroscopy using a mobile device

Systems and methods of providing mediated social interactions are provided. For instance, a user input from a first user indicative a request to facilitate a provision of emotive contextual signals to a second user can be received. One or more emotive contextual signals to be provided to the second user can be determined based at least in part on the user input. The one or more first emotive contextual signals can include one or more haptic feedback signals intended to facilitate a mediated social interaction associated with the second user.

Providing mediated social interactions

The present disclosure provides touch communication devices that can convey touch information to a human user and/or receive touch information from the human user. As one example, a touch communication device can include a plurality of tactile units. The touch communication device can individually control each of the tactile units to apply a respective pressure to a surface adjacent to such tactile unit. For example, the touch communication device can control the plurality of tactile units to convey a touch communication to a human user that has the touch communication device adjacent to a portion of his body. As another example, the touch communication device is configured to determine a counter-pressure applied to each tactile unit by the surface adjacent to such tactile unit. The touch communication device can generate information descriptive of a touch communication performed by the human user on the touch communication device.

Touch communication device

Systems and methods of providing mediated social interactions are provided. For instance, a user input from a first user indicative of a request to facilitate a provision of emotive contextual signals to a second user can be received. One or more emotive contextual signals to be provided to the second user can be determined based at least in part on the user input. The one or more emotive contextual signals can include one or more haptic feedback signals intended to facilitate a mediated social interaction associated with the second user.

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Mountain View, CA, United States of America

Kelly Elizabeth Dobson