BackgroundCheck.run
Search For

Craig M Arndt, 65Marietta, GA

Known as:
Craig Martin Arndt Craig M Arnold Graig Arndt
Related to:
Billie Lee Watson 73

Craig Arndt Phones & Addresses

Marietta, GA   

Greenville, SC   

9970 Leander Ln, Manassas, VA 20110    703-5306404   

4202 Sonia Ct, Alexandria, VA 22309    703-3608982   

5512 Sacramento Mews Pl, Alexandria, VA 22309    703-3608982   

Malabar, FL   

Bridgeport, WV   

San Jose, CA   

Fort Belvoir, VA   

Malabar, FL   

Dayton, OH   

5512 Sacramento Mews Pl, Alexandria, VA 22309   

Work

Position: Sales Occupations

Education

Degree: Bachelor's degree or higher
Get Report
Control this profile

Mentions for Craig M Arndt

Craig Arndt resumes & CV records

Resumes

Craig Arndt Photo 26

Manufacturing Engineer At Borbet Group

Position:
Manufacturing Engineer at Borbet Group
Location:
Hogansville, Georgia
Industry:
Automotive
Work:
Borbet Group - Auburn, Alabama Area since Oct 2010
Manufacturing Engineer Avantcrete May 2007 - Aug 2010
Production Manager Federal-Mogul Jan 2005 - May 2007
Technical Services Manager Federal-Mogul 2002 - 2005
Mfg Engineer Fedearl Mogul 1998 - 2002
Prototype Manager
Skills:
Process Improvement, TS16949, Value Stream Mapping, Manufacturing Engineering, FMEA, Automotive
Craig Arndt Photo 27

Craig Arndt

Location:
United States
Craig Arndt Photo 28

Craig Arndt

Position:
Field Marketer at Titan Machinery
Location:
Shakopee, Minnesota
Industry:
Construction
Work:
Titan Machinery since Apr 2012
Field Marketer Reliakor Services Apr 2009 - Apr 2012
Landscape Services Manager
Education:
University of MN, Mpls
Western State College

Publications & IP owners

Us Patents

System And Method For Knowledge Verification Utilizing Biopotentials And Physiologic Metrics

US Patent:
2009021, Aug 27, 2009
Filed:
Feb 20, 2009
Appl. No.:
12/389722
Inventors:
Craig M. ARNDT - Alexandria VA, US
Assignee:
Ideal Innovations Incorporated - Arlington VA
International Classification:
A61B 5/00
US Classification:
600300
Abstract:
A system and method for knowledge verification utilizing biopotentials and physiologic metrics, which includes a computer-based device having stored thereon Probe, Relevant and Gallery image data, and a biopotential amplifier removably connected to a human subject via disposable Ag/Ag—Cl electrodes. Furthermore, the system comprises an analog-to-digital (A/D) converter to digitize said biopotential data for subsequent storage on said computer-based device, analysis software for discriminating said subject's event-related response to the exogenous stimuli, a visual display system comprising an LCD video monitor, and control software for presenting the Probe, Relevant and Gallery visual stimuli in a weighted, pseudo-random sequence which can be modulated by the outcome of said analysis software. Probe image data are not generally known to said human subjects but relevant to the knowledge to be verified; Relevant image data are generally known to said human subjects but not relevant to the knowledge to be verified; and Gallery image data are not generally known to said human subjects and not relevant to the knowledge to be verified. Said knowledge verification system can utilize parametric or non-parametric, e.g., artificial neural networks, analysis to provide an output of verification, or non-verification of knowledge of interest. Exemplary headband and electrode configurations optimized to produce the desired signals are disclosed.

System And Method For Knowledge Verification Utilizing Biopotentials And Physiologic Metrics

US Patent:
2014016, Jun 12, 2014
Filed:
Feb 18, 2014
Appl. No.:
14/182410
Inventors:
- Arlington VA, US
Craig M. Arndt - Alexandria VA, US
Assignee:
Ideal Innovations Incorporated - Arlington VA
International Classification:
A61B 5/0484
A61B 5/16
A61B 5/00
A61B 5/0478
A61B 5/04
US Classification:
600544
Abstract:
A system and method for knowledge verification utilizing biopotentials and physiologic metrics, which includes a computer-based device having stored thereon Probe, Relevant and Gallery image data, and a biopotential amplifier removably connected to a human subject via disposable Ag/Ag—Cl electrodes. Furthermore, the system comprises an analog-to-digital (A/D) converter to digitize said biopotential data for subsequent storage on said computer-based device, analysis software for discriminating said subject's event-related response to the exogenous stimuli, a visual display system comprising an LCD video monitor, and control software for presenting the Probe, Relevant and Gallery visual stimuli in a weighted, pseudo-random sequence which can be modulated by the outcome of said analysis software. Probe image data are not generally known to said human subjects but relevant to the knowledge to be verified; Relevant image data are generally known to said human subjects but not relevant to the knowledge to be verified; and Gallery image data are not generally known to said human subjects and not relevant to the knowledge to be verified. Said knowledge verification system can utilize parametric or non-parametric, e.g., artificial neural networks, analysis to provide an output of verification, or non-verification of knowledge of interest. Exemplary headband and electrode configurations optimized to produce the desired signals are disclosed.

Possible Relatives

David J Arndt  Debra L Arndt  Daniel M Arndt  Aaron A Arndt  Denise L Arndt  Danielle K Arndt  Dennis R Arndt  Craig L Johnson  Craig Stamps  Craig T Standen 

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.