Amazon Technologies, Inc.

Andreas Caduff

David Earl Heckerman

Adrian Napoles

Christopher Raymond Grajewski

Ilia Vitsnudel

Haithem Albadawi

Layne Christopher Price

Patrick Chow

Pekka Pietari Pulkkinen

A wearable device may compress the skin of a user when worn, which may affect values determined using sensors of the device. To determine the effect of skin compression on the values, a time-of-flight signal, images, or frames of video data that depict a portion of the body having indentations from wearing the device may be acquired. Characteristics of the images, such as shadows associated with the indentations, may be processed using a machine learning algorithm or mathematical function to determine a depth of various portions of the indentations. Depth data from the time of flight signal may be used to refine or modify these determined depths. The amount of skin compression associated with the indentations may be used to modify signals acquired using sensors, or output a recommendation for a band or other method for securing the device.

Systems for determining elevations of skin features

Data about concentration of one or more types of molecules present within a human body are determined noninvasively using radio frequency (RF) signals. Signals at several different frequencies at very low power levels are emitted using an antenna mounted to a wearable device. Operating values, such as changes to the impedance of the antenna resulting from interaction between the RF signals and the user, are associated with the concentration of one or more types of molecules within the user. These changes in impedance may be relatively small. Circuitry in the device determines internal impedance of the circuitry, compensating for internal impedances and improving overall accuracy of the measured impedance resulting from interaction with the user.

Radio frequency biosensor with integrated compensation

Devices, systems, and methods are provided for non-intrusive sleep efficiency analysis and recommendations using heart data. A method may include receiving, by a device, photoplethysmography (PPG) data associated with a heart signal. The method may include determining a first portion of the PPG data that fails to exceed a threshold frequency and a second portion of the PPG data that exceeds the threshold frequency. The method may include determining a ratio of the first portion to the second portion. The method may include determining, based on the PPG data, an inspiratory flow, and determining, based on the ratio and the inspiratory flow, a forecasted sleep efficiency score. The method may include determining a recommended activity associated with increasing the forecasted sleep efficiency score. The method may include presenting the forecasted sleep efficiency score and the recommended activity.

Non-intrusive sleep efficiency analysis and recommendations using heart data

Data about concentration of one or more types of molecules present within a human body are determined noninvasively using radio frequency signals. Signals at several different frequencies at very low power levels are emitted using an antenna mounted to a wearable device. The antenna includes nested elements of different sizes. Operating values, such as changes to the impedance of the antenna, are associated with the concentration of one or more types molecules within the user. Concentrations at different depths may be measured by using different sets of the nested elements at different times. Operating values at those times are measured and used to determine information indicative of concentration of the molecules. During use, a long axis of the antenna may be aligned with a long axis of a user's arm.

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Clyde Hill, WA, United States of America

Andreas Caduff