Sleep Number Corporation

Jiewei Jiang

Steven Jay Young

Omid Sayadi

Ramazan Demirli

Cristina Marie Jocson

Farzad Siyahjani

Gary N Garcia Molina

Daniel Polimac

Cardiac data defining at least inter-beat interval (IBI) sequences is received. Tagging data that defines tags of sleep-states for the IBI sequences is received. A sleep-state classifier is generated using the cardiac data and the tagging data, the generating may include: extracting the IBI sequences from the cardiac data; training a convolutional neural network (CNN) using as input the cardiac data and the tagging data to generate intermediate data; and iteratively training a recurrent neural network (RNN) configured to produce state data as output, the iterative training of the RNN using i) the intermediate data as an initial input and ii) the intermediate data and a previous state data as subsequent input.

Determining real-time sleep states using machine learning techniques

An acoustic sensor is positioned in an environment and configured to generate a data stream responsive to acoustic energy in the environment. A controller is configured to receive the data stream. The controller is further configured to analyze the data stream to determine ambient acoustic signals. The controller is further configured to generate an ambient acoustic template based on the determined ambient acoustic signals. The controller is further configured to apply the ambient acoustic template to the data stream so that the ambient acoustic signals are suppressed in the data stream. The controller is further configured to analyze the data stream after the ambient acoustic signals are suppressed in order to determine if the acoustic energy in the environment includes acoustic energy of human snoring. The controller is further configured to issue a control signal to a second controller in order to engage a home automation device.

Home automation having user privacy protections

Growing community of inventors

Campbell, CA, United States of America

Jiewei Jiang