Alok Chandel

US Patent:

20110289530, Nov 24, 2011

Filed:

May 10, 2011

Appl. No.:

13/104662

Inventors:

Vincent Dureau - Palo Alto CA, US
Salahuddin Choudhary - Mountain View CA, US
Benjamin Ling - San Francisco CA, US
Shalini Pai - Saratoga CA, US
Dennis Miloseski - San Francisco CA, US
Justin Koh - Mountain View CA, US
Rich Bragg - Los Altos CA, US
Alok Chandel - San Francisco CA, US

Assignee:

GOOGLE INC. - Mountain View CA

International Classification:

H04N 5/445

US Classification:

725 38

Abstract:

The subject matter of this specification can be implemented in, among other things, a computer-implemented method that includes identifying metadata related to television programming being presented on a display device. The method further includes extracting one or more keywords from the metadata. The method further includes generating multiple search suggestions based on the keywords and first search results based on one or more of the search suggestions. The method further includes presenting the search suggestions and the first search results together on the display device.

US Patent:

20110313775, Dec 22, 2011

Filed:

May 19, 2011

Appl. No.:

13/111853

Inventors:

Pierre-Yves Laligand - Palo Alto CA, US
Alok Chandel - San Francisco CA, US
Michael J. LeBeau - Palo Alto CA, US

International Classification:

G10L 11/00

US Classification:

704275, 704E11001

Abstract:

A computer-implemented method for information sharing between a portable computing device and a television system includes receiving a spoken input from a user of the portable computing device, by the portable computing device, submitting a digital recording of the spoken query from the portable computing device to a remote server system, receiving from the remote server system a textual representation of the spoken query, and automatically transmitting the textual representation from the portable computing device to the television system. The television system is programmed to submit the textual representation as a search query and to present to the user media-related results that are determined to be responsive to the spoken query.

US Patent:

20120042343, Feb 16, 2012

Filed:

Sep 29, 2011

Appl. No.:

13/248912

Inventors:

Pierre-Yves Laligand - Palo Alto CA, US
Alok Chandel - San Francisco CA, US
Michael J. LeBeau - Palo Alto CA, US

Assignee:

GOOGLE INC. - Mountain View CA

International Classification:

H04N 5/445

US Classification:

725 53

Abstract:

A computer-implemented method for information sharing between a portable computing device and a television system includes receiving a spoken input from a user of the portable computing device, by the portable computing device, submitting a digital recording of the spoken query from the portable computing device to a remote server system, receiving from the remote server system a textual representation of the spoken query, and automatically transmitting the textual representation from the portable computing device to the television system. The television system is programmed to submit the textual representation as a search query and to present to the user media-related results that are determined to be responsive to the spoken query.

US Patent:

20140049467, Feb 20, 2014

Filed:

Oct 15, 2012

Appl. No.:

13/652243

Inventors:

Pierre-Yves Laligand - Palo Alto CA, US
Alok Chandel - San Francisco CA, US

International Classification:

G06F 3/033

US Classification:

345157

Abstract:

Systems and methods for determining input modes for an input device may be based upon input mode data transmitted from a controlled device. The input mode data may be associated with a first visual content displayed by the controlled device and may provide an appropriate input mode with which the user can interact with the input device. Based upon a user's interaction with the input device and the associated input mode, a second visual content may be displayed by controlled device and a second input mode data can be transmitted to input device. The second input mode data may provide a second, different input mode based upon the second visual content with which the user can interact with the input device.

US Patent:

20220408158, Dec 22, 2022

Filed:

Aug 22, 2022

Appl. No.:

17/892482

Inventors:

- Mountain View CA, US
Salahuddin Choudhary - Palo Alto CA, US
Benjamin Ling - San Francisco CA, US
Shalini Pai - Saratoga CA, US
Dennis Miloseski - San Francisco CA, US
Justin Koh - Mountain View CA, US
Richard William Bragg - Los Altos CA, US
Alok Chandel - Sunnyvale CA, US

International Classification:

H04N 21/482
G06F 16/78
H04N 21/462
G06F 16/48

Abstract:

The subject matter of this specification can be implemented in, among other things, a computer-implemented method that includes identifying metadata related to television programming being presented on a display device. The method further includes extracting one or more keywords from the metadata. The method further includes generating multiple search suggestions based on the keywords and first search results based on one or more of the search suggestions. The method further includes presenting the search suggestions and the first search results together on the display device.

US Patent:

20220261084, Aug 18, 2022

Filed:

Apr 29, 2022

Appl. No.:

17/661494

Inventors:

- Mountain View CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Devon James O'Reilley Stern - Oakland CA, US
Ivan Poupyrev - Los Altos CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US
Johan Prag - Mountain View CA, US
Artur Tsurkan - San Francisco CA, US
Alok Chandel - Mountain View CA, US
Lucas Dupin Moreira Costa - Mountain View CA, US
Selim Flavio Cinek - Los Angeles CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G06V 40/20

Abstract:

Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

US Patent:

20210250658, Aug 12, 2021

Filed:

Apr 26, 2021

Appl. No.:

17/240189

Inventors:

- Mountain View CA, US
Salahuddin Choudhary - Palo Alto CA, US
Benjamin Ling - San Francisco CA, US
Shalini Pai - Saratoga CA, US
Dennis Miloseski - San Francisco CA, US
Justin Koh - Mountain View CA, US
Richard William Bragg - Los Altos CA, US
Alok Chandel - Sunnyvale CA, US

International Classification:

H04N 21/482
G06F 16/78
H04N 21/462
G06F 16/48

Abstract:

The subject matter of this specification can be implemented in, among other things, a computer-implemented method that includes identifying metadata related to television programming being presented on a display device. The method further includes extracting one or more keywords from the metadata. The method further includes generating multiple search suggestions based on the keywords and first search results based on one or more of the search suggestions. The method further includes presenting the search suggestions and the first search results together on the display device.

US Patent:

20210026454, Jan 28, 2021

Filed:

May 28, 2020

Appl. No.:

16/886626

Inventors:

- Mountain View CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Devon James O'Reilley Stern - Oakland CA, US
Ivan Poupyrev - Los Altos CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US
Johan Prag - Mountain View CA, US
Artur Tsurkan - San Francisco CA, US
Alok Chandel - Mountain View CA, US
Lucas Dupin Moreira Costa - Mountain View CA, US
Selim Flavio Cinek - Los Angeles CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G06K 9/00

Abstract:

Systems and techniques are described for robust radar-based gesture-recognition. A radar system () detects radar-based gestures on behalf of application subscribers. A state machine () transitions between multiple states based on inertial sensor data. A no-gating state () enables the radar system () to output radar-based gestures to application subscribers. The state machine () also includes a soft-gating state () that prevents the radar system () from outputting the radar-based gestures to the application subscribers. A hard-gating state () prevents the radar system () from detecting radar-based gestures altogether. The techniques and systems enable the radar system () to determine when not to perform gesture-recognition, enabling user equipment () to automatically reconfigure the radar system () to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.