Invensense, Inc.

Anjia Gu

Steven Saeed Nasiri

Shang-Hung Lin

William Kerry Keal

James Robert Lim

Takashi Nakayama

David Sachs

Yuan Zheng

Joseph Jiang

Steve Nasiri

Richard Li

Alex Castro

Takashi Nakayami

A method, system and computer readable medium for calibrating an accelerometer in a portable device is disclosed. The method, system and computer readable medium comprises receiving data from the accelerometer, and providing accelerometer samples from the data based upon one or more selection rules that adaptively selects data that satisfy certain criteria. The method system and computer readable medium also includes fitting the accelerometer samples to a mathematical mode. The method system and computer readable medium further includes providing a bias of the accelerometer based upon a center of the mathematical model.

In-use automatic calibration methodology for sensors in mobile devices

Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.

Handheld computer systems and techniques for character and command recognition related to human movements

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Stanford, CA, United States of America

Anjia Gu