Fitbit, Inc.

Massachusetts Institute of Technology

Google Inc.

Hao-Wei Su

Shelten Gee Jao Yuen

Subramaniam Venkatraman

Logan Niehaus

Conor Joseph Heneghan

Jonathan David Charlesworth

Timothy Roberts

Eric M Foxlin

Jongyoon Han

Lindsey Michelle Sunden

Joel Voldman

Belen Lafon

Xi Zhang

Aravind Natarajan

Aniket Sanjay Deshpande

Lidan Wu

Peter Duyan

Javier Lopez Prieto

Logan Alexander Niehaus

Johnathan Charlesworth

Veera Venkata Sesha Sai Vaddi

Timothy M Roberts

Sarah Ann Stokes Kernasovskiy

Peter Richards

Lindsey Sunden

Hamed Vavadi

Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.

Detecting and measuring snoring

Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.

A system includes a microfluidic device configured to isolate one or more particles from a mixture, a flow rate matching device configured to match flow rate of the microfluidic device with flow rate of an electrical measurement device configured to measure an electrical property of the isolated particles, and an electrical measurement device configured to measure an electrical property of the isolated particles.

Integrated electrical profiling system for measuring leukocytes activation from whole blood

Techniques for automatic tracking of user data for exercises are disclosed. In one aspect, a method of operating a wearable device may involve determining that a user of the wearable device has started an exercise, activating the GPS receiver in response to determining that the user has started the exercise, and detecting a time at which the GPS receiver achieves an initial GPS fix of a location of the wearable device. The method may further involve logging, based on output of the one or more biometric sensors, a first set of user data during a first time interval between the start of the exercise and the detected time of the initial GPS fix, and back-filling an exercise route of the user during the first time interval based on the first set of user data.

Back-filling of geolocation-based exercise routes

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Cambridge, MA, United States of America

Hao-Wei Su