Amazon Technologies, Inc.

David Lawrence Seymore

Prakash Ramu

Aneeb Qureshi

Megan Heffernan

Ita Lifshitz

Anta Imata Safo

David Earl Heckerman

Leo Benedict Baldwin

Michael Vogelsong

Maulik Majmudar

Systems, devices, and methods are provided for detecting and correcting eating behavior. A device may receive audio data, determine that the audio data is indicative of consumption of a product by a user. The device may determine, based on the product, a measureable attribute associated with the user. The device may receive first data associated with the measureable attribute. The device may determine that the first data exceeds a threshold. The device may generate a message for presentation.

Methods and devices for detection of eating behavior

Described are systems and method directed to generation of a dimensionally accurate three-dimensional ('3D') body model of a body, such as a human body, based on two-dimensional ('2D') images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different directions with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model of the body of the user.

Two-dimensional image collection for three-dimensional body composition modeling

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Seattle, WA, United States of America

David Lawrence Seymore