Patents by Inventor STEVE NASIRI
STEVE NASIRI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 9703397Abstract: Described herein is an intelligent remote controlling device (e.g. a mobile phone). The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module (e.g. an integrated circuit chip (IC)). The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.Type: GrantFiled: April 9, 2015Date of Patent: July 11, 2017Assignee: InvenSense, Inc.Inventors: Steve Nasiri, Joseph Jiang, Shang-Hung Lin, Yuan Zheng
-
Publication number: 20160018902Abstract: 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.Type: ApplicationFiled: September 25, 2015Publication date: January 21, 2016Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayami
-
Publication number: 20160011676Abstract: Described herein is an intelligent remote controlling device (e.g. a mobile phone). The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module (e.g. an integrated circuit chip (IC)). The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.Type: ApplicationFiled: April 9, 2015Publication date: January 14, 2016Inventors: Steve Nasiri, Joseph Jiang, Shang-Hung Lin, Yuan Zheng
-
Patent number: 9174123Abstract: 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.Type: GrantFiled: July 8, 2010Date of Patent: November 3, 2015Assignee: INVENSENSE, INC.Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayama
-
Patent number: 9144735Abstract: 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.Type: GrantFiled: July 8, 2010Date of Patent: September 29, 2015Assignee: INVENSENSE, INC.Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayama
-
Patent number: 9046937Abstract: A device disclosed herein can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module (e.g. an integrated circuit chip (IC)).Type: GrantFiled: June 4, 2013Date of Patent: June 2, 2015Assignee: INVENSENSE, INC.Inventors: Steve Nasiri, Joseph Jiang, Shang-Hung Lin, Yuan Zheng
-
Patent number: 9030405Abstract: Described herein is an intelligent remote controlling device. The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module. The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.Type: GrantFiled: June 20, 2011Date of Patent: May 12, 2015Assignee: Invensense, Inc.Inventors: Steve Nasiri, Joseph Jiang, Shang-Hung Lin, Yuan Zheng
-
Publication number: 20130271372Abstract: Described herein is an intelligent remote controlling device (e.g. a mobile phone). The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module (e.g. an integrated circuit chip (IC)). The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.Type: ApplicationFiled: June 4, 2013Publication date: October 17, 2013Inventors: Steve Nasiri, Joseph Jiang, Shang-Hung Lin, Yuan Zheng
-
Publication number: 20120200497Abstract: Described herein is an intelligent remote controlling device. The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module. The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.Type: ApplicationFiled: June 20, 2011Publication date: August 9, 2012Applicant: INVENSENSE, INC.Inventors: Steve Nasiri, Joseph Jiang, Shang-Hung Lin, Yuan Zheng
-
Publication number: 20120007713Abstract: 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.Type: ApplicationFiled: July 8, 2010Publication date: January 12, 2012Applicant: INVENSENSE, INC.Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayami
-
Publication number: 20100071467Abstract: A system and method describes an inertial sensor assembly, the assembly comprises a substrate parallel to the plane, at least one in-plane angular velocity sensor comprising a pair proof masses that are oscillated in anti-phase fashion along an axis normal to the plane. The first in-plane angular velocity sensor further includes a sensing frame responsive to the angular velocity of the substrate around the first axis parallel to the plane and perpendicular to the axis normal to the plane. The assembly also includes at least one out-of-plane angular velocity sensor comprising a pair of proof masses that are oscillated in anti-phase fashion in the plane parallel to the plane. The out-of-plane angular velocity sensor further comprises a sensing frame responsive to the angular velocity of the substrate around the axis normal to the plane.Type: ApplicationFiled: September 24, 2008Publication date: March 25, 2010Applicant: INVENSENSEInventors: STEVE NASIRI, JOSEPH SEEGER, BRUNO BOROVIC, GOKSEN YARALIOGLU