Intel Corporation

Apple Inc.

Christopher J Verplaetse

Andrew A Stirn

Steven P Szabados

Nathan R Kowahl

Clark D Della Silva

Colt Stander

Timothy Melano

Scott Henderson

Felipe Bacim De Araujo E Silva

Bharadwaj Srinivasan

Stuart J Wood

Jeffrey L Holove

Michael R Arens

Bashir F Ziady

Philip K Reyneri

One or more electronic devices can map an environment based on movement or location data of the one or more electronic devices within the environment. The data can be analyzed, processed, or otherwise relied on to generate a path along which one or more of the electronic devices were carried (e.g., by a user) or located at given time over the duration of time. The path and attributes related to the environment can be analyzed (e.g., using machine learning techniques) to generate a topological or other type of map of the environment.

Methods for mapping an environment and related devices

An electronic device may include an ambient light sensor that measures ambient light color, a projector that projects ambient-light-matching illumination onto a surface, a user input device such as a microphone that gathers user input, and a position sensor that measures a position of the surface, a user, and/or a real-world object relative to the device. The ambient-light-matching illumination may create illuminated regions on the surface that blend in with the surrounding ambient light. Certain pixels in the projector may be turned off to create one or more unilluminated regions within the illuminated regions. The unilluminated regions may form apparent shadows. Control circuitry in the electronic device may adjust characteristics of the unilluminated regions by dynamically adjusting which pixels are turned off based on voice input, gesture input, and/or other sensor data.

Electronic devices with projectors controlled by voice input

Electronic devices with projectors

A wearable device automatically identifies an activity in which a user of the device is engaged while wearing the device. The wearable device receives motion data of the user collected during the activity and determines a magnitude and a frequency of the motion data. Based on the magnitude and frequency of the motion data, the wearable device identifies the activity in which the user is engaged.

Detection of biking, walking, and running

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San Francisco, CA, United States of America

Christopher J Verplaetse