David M Sachs

US Patent:

8310380, Nov 13, 2012

Filed:

Mar 2, 2010

Appl. No.:

12/716139

Inventors:

Behrad Aria - Alameda CA, US
David Sachs - Sunnyvale CA, US
Joseph Seeger - Menlo Park CA, US

Assignee:

Invensense Inc. - Sunnyvale CA

International Classification:

H03M 11/00

US Classification:

341 20, 345172

Abstract:

Selectable communication interface configurations for motion sensing devices. In one aspect, a module for a motion sensing device includes a motion processor connected to a device component and a first motion sensor, and a multiplexer having first and second positions. Only one of the multiplexer positions is selectable at a time, where the first position selectively couples the first motion sensor and the device component using a first bus, and the second position selectively couples the first motion sensor and the motion processor using a second bus, wherein communication of information over the second bus does not influence a communication bandwidth of the first bus.

US Patent:

8326533, Dec 4, 2012

Filed:

Jan 21, 2010

Appl. No.:

12/691710

Inventors:

David Sachs - Sunnyvale CA, US
Shang-Hung Lin - San Jose CA, US

Assignee:

Invensense, Inc. - Sunnyvale CA

International Classification:

G01C 17/38
G01C 19/00
G01P 21/00

US Classification:

701472, 702 85, 702 92, 702 93, 702150, 702151, 73 175, 73 176, 73 177

Abstract:

Techniques for estimating compass and gyroscope biases for handheld devices are disclosed. The compass bias can be determined by causing a small movement of the handheld device and comparing the data obtained from the compass with the data obtained from the gyroscope. The gyroscope bias can be determined by obtaining a quaternion based angular velocity term of the handheld device when the accelerometer and compass data are reliable, and then comparing the angular velocity term with the gyro data to estimate the gyro bias. When the compass and/or the accelerometer data are unreliable, a previously determined quaternion angular velocity term is used. The gyroscope bias can also be determined by measuring gyroscope biases at various temperatures in a non-factory setting, storing the data in a memory, and using the data to estimate gyro biases when the accelerometer and/or the compass data are unreliable.

US Patent:

20040006113, Jan 8, 2004

Filed:

Jun 19, 2003

Appl. No.:

10/600805

Inventors:

David Sachs - Palo Alto CA, US

International Classification:

A61K031/454

US Classification:

514/343000

Abstract:

A method for predicting nicotine replacement dosage to achieve a target nicotine serum concentration relies on measuring blood nicotine concentration prior to smoking cessation. At least two values corresponding to other patient characteristics, such as body mass, cumulative smoking, psychological dependence, age, and menopausal status, are also determined and used to predict expected blood nicotine concentrations based on nicotine replacement dosages. Such methods are useful in achieving target blood nicotine concentrations for smoking cessation and therapy.

US Patent:

20090265671, Oct 22, 2009

Filed:

Oct 15, 2008

Appl. No.:

12/252322

Inventors:

DAVID SACHS - SUNNYVALE CA, US
STEVEN S. NASIRI - SARATOGA CA, US
JOSEPH JIANG - SAN JOSE CA, US
ANJIA GU - STANFORD CA, US

Assignee:

INVENSENSE - SUNNYVALE CA

International Classification:

G06F 3/01

US Classification:

715863

Abstract:

Mobile devices using motion gesture recognition. In one aspect, processing motion to control a portable electronic device includes receiving, on the device, sensed motion data derived from motion sensors of the device and based on device movement in space. The motion sensors include at least three rotational motion sensors and at least three accelerometers. A particular operating mode is determined to be active while the movement of the device occurs, the mode being one of multiple different operating modes of the device. Motion gesture(s) are recognized from the motion data from a set of motion gestures available for recognition in the active operating mode. Each of the different operating modes, when active, has a different set of gestures available. State(s) of the device are changed based on the recognized gestures, including changing output of a display screen on the device.

US Patent:

20110254760, Oct 20, 2011

Filed:

Aug 27, 2010

Appl. No.:

12/869837

Inventors:

Stephen Lloyd - Los Altos CA, US
David Sachs - Sunnyvale CA, US
David Devries - San Jose CA, US
Doug Vargha - Palo Alto CA, US
Derek Shaeffer - Redwood City CA, US
Erik Anderson - San Francisco CA, US
Kerry Keal - Santa Clara CA, US
Nathan Royer - Cupertino CA, US

Assignee:

InvenSense, Inc. - Sunnyvale CA

International Classification:

G09G 5/00
G06F 19/00
G01P 15/00

US Classification:

345156, 702141, 702 89

Abstract:

The present invention relates to a combination of a 6-axis motion sensor having a 3-axis gyroscope and a 3-axis linear accelerometer, a motion processor and a radio integrated circuit chip (IC), wherein the intelligence in the motion processor enables the communication between the motion sensor, the radio IC and the external network. The motion processor also enables power savings by adaptively controlling the data rate of the motion sensor, depending on the amount or speed of the motion activity.

US Patent:

20160018902, Jan 21, 2016

Filed:

Sep 25, 2015

Appl. No.:

14/866548

Inventors:

- San Jose CA, US
David Sachs - Sunnyvale CA, US
Alex Castro - Concord CA, US
Richard Li - Mountain View CA, US
Anjia Gu - Stanford CA, US
Shang-Hung Lin - San Jose CA, US
Takashi Nakayami - Tokyo, JP

International Classification:

G06F 3/01
A63F 13/23
A63F 9/24
A63F 13/30
A63F 13/211
A63F 13/24

Abstract:

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.