US 12,108,900 B1Granted

Automated sleep assistant

AssigneeAmazon Technologies, Inc.

InventorsBeth A. Marcus, Margaret Jean Williams George

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Abstract

Systems, devices, and methods are provided for an automated sleep assistant. An automated sleep assistant may comprise an audio input device for capturing sounds and utterances made by a user while sleeping. Audio data may be collected and analyzed to identify sleep patterns indicative of an adverse sleep-related condition such as Obstructive Sleep Apnea (OSA). A pillow comprising a plurality of regions with one or more sensors, one or more inflatable air bladders, and one or more haptic feedback devices may be utilized. A base unit device physically connected to the pillow may determine one or more external forces that mitigate the adverse sleep-related condition and cause the pillow to apply the one or more external forces to the user, for example, by using a pump to inflate an air bladder to help the user's head lift or tip to a specific angle that opens his or her airway.

Claims19

Dependent claims

A system, comprising:

an audio input device;
a pillow comprising a plurality of regions, wherein a respective region comprises:
one or more sensors;
one or more inflatable air bladders;
and
one or more feedback devices;
a base unit device physically connected to the pillow, wherein the base unit comprises:
a sound-dampening housing;
a pump within the sound-dampening housing that is connected to a manifold that independently controls inflation of the one or more inflatable air bladders;
and
electronic circuitry communicatively coupled to the pillow, the electronic circuitry comprising memory storing executable instructions that, as a result of execution by one or more processors, cause the electronic circuitry to:
obtain, from the audio input device, audio data emitted from a user of the pillow during sleep while the one or more inflatable air bladders are in a first configuration;
obtaining, from the one or more sensors, sensor data indicating a position or change in the position of the user;
use a machine-learning model to determine, based on audio data collected by the audio input device and the sensor data collected by the one or more sensors, that the user has experienced an adverse sleep-related condition;
determine one or more external actions that mitigate the adverse sleep-related condition, wherein the one or more external actions comprise applying, in an alternating fashion, a first lateral force in a first direction at a first time and then applying a second lateral force in a second direction at a second time to create a rocking motion;
and
cause the pillow to apply the one or more external actions on the user.

14 more elements

Dependencies are inferred from the claim text.