Doron J Drusinsky, Age 6711425 Charsan Ln, Cupertino, CA 95014

Doron Drusinsky Phones & Addresses

11425 Charsan Ln, Cupertino, CA 95014 (408) 252-1646 (408) 252-2808 (408) 252-3691

20654 Gardenside Cir, Cupertino, CA 95014 (408) 252-1646 (408) 252-2808

Sunnyvale, CA

Los Gatos, CA

San Francisco, CA

Coyote, CA

El Dorado, CA

Riverside, CA

11425 Charsan Ln, Cupertino, CA 95014

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Doron J Drusinsky

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Position: Machine Operators, Assemblers, and Inspectors Occupations

Education

Degree: High school graduate or higher

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Doron Drusinsky

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Us Patents

Implementing A Finite State Machine Using Concurrent Finite State Machines With Delayed Communications And No Shared Control Signals

US Patent:
2002014, Oct 3, 2002
Filed:
Apr 2, 2001
Appl. No.:
09/825138
Inventors:
Doron Drusinsky - Cupertino CA, US
International Classification:
G06F017/10
US Classification:
703/002000
Abstract:
The present invention comprises a method of implementing state machines between regions in which there are communication delays between the regions.

Electronic Device Related To User Identification, Authentication, Liveliness, Encryption Using Biometrics Technology And Methods For Operation Thereof

US Patent:
2022019, Jun 23, 2022
Filed:
Dec 23, 2021
Appl. No.:
17/561486
Inventors:
- Mountain View CA, US
Nick Sullivan - Mountain View CA, US
Luke Stork - Mountain View CA, US
Doron Drusinsky - Mountain View CA, US
Kitae Lee - Mountain View CA, US
Assignee:
Aerendir Mobile Inc. - Mountain View CA
International Classification:
G06F 21/32
G06F 30/27
Abstract:
In one embodiment, a method for authenticating a user with an electronic device is disclosed. The method incudes receiving digital sensor data from a motion sensor over a signal acquisition time period; deleting a beginning portion of the digital sensor data prior to the signal acquisition time period; suppressing signal components in the data associated with voluntary movement of the user; signal processing the suppressed digital sensor data to extract signal features representing neuro muscular tone of the user; tabulating the extracted signal features over periods of time into a feature vector table; executing a predictive model with the feature vector table; generating a numerical degree of matching level based on the feature vector table and the user parameter set; and making a determination to either authorize the user or not based on the numerical degree of matching level. The predictive model is trained by a user parameter set.

Isbn (Books And Publications)

Modeling And Verification Using Uml Statecharts: A Working Guide To Reactive System Design, Runtime Monitoring And Execution-Based Model Checking

Author:
Doron Drusinsky
ISBN #:
0750679492

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