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A Virtual Laboratory System with Biometric Authentication and Remote Proctoring Based on Facial Recognition

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Tagged Division

Computers in Education

Tagged Topic

Diversity

Page Count

14

DOI

10.18260/p.26481

Permanent URL

https://peer.asee.org/26481

Download Count

37

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Paper Authors

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Zhou Zhang Stevens Institute of Technology (School of Engineering and Science) Orcid 16x16 orcid.org/0000-0003-4599-4339

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Ph.D Candidate, Mechanical Engineering Department, Stevens Institute of Technology, Hoboken, NJ, 07030.

Email: zzhang11@stevens.edu

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Mingshao Zhang Stevens Institute of Technology (School of Engineering and Science) Orcid 16x16 orcid.org/0000-0002-6331-4010

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Mingshao Zhang is currently a Ph.D. student in Mechanical Engineering Department, Stevens Institute of Technology. Before joining Stevens, he received bachelor's degrees from University of Science and Technology of China. His Current research interests include Microsoft Kinect, Computer Vision, Educational Laboratories, Desktop Virtual Reality and etc.

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Yizhe Chang Stevens Institute of Technology (School of Engineering and Science)

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Yizhe Chang is currently a Ph.D. student in Mechanical Engineering Department, Stevens Institute of Technology. He received his B.Eng. from Tianjin University, Tianjin, China. His current research topics include virtual environment for assembly simulation and collaborative system for engineering education.

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Sven K. Esche Stevens Institute of Technology (School of Engineering and Science)

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Sven Esche is a tenured Associate Professor who serves as the Associate Director and Director of Graduate Programs of the Department of Mechanical Engineering at Stevens Institute of Technology. He received a Diploma in Applied Mechanics in 1989 from Chemnitz University of Technology, Germany, and was awarded M.S. and Ph.D. degrees from the Department of Mechanical Engineering at The Ohio State University in 1994 and 1997, respectively. He teaches both undergraduate and graduate courses related to mechanisms and machine dynamics, integrated product development, solid mechanics and plasticity theory, structural design and analysis, engineering analysis and finite element methods and has interests in remote laboratories, project-based learning and student learning assessment. His research is in the areas of remote sensing and control with applications to remote experimentation as well as modeling of microstructure changes in metal forming processes. He publishes regularly in peer-reviewed conference proceedings and scientific journals. At the 2006 ASEE Annual Conference and Exposition in Chicago, USA, he received the Best Paper Award for his article ‘A Virtual Laboratory on Fluid Mechanics’. In 2015, he received the Alexander Crombie Humphreys Distinguished Teaching Associate Professor award.

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Constantin Chassapis Stevens Institute of Technology (School of Engineering and Science)

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Dr. Constantin (Costas) Chassapis, is Professor of Mechanical Engineering and Vice Provost of Academics at Stevens Institute of Technology. His current research involves remote sensing and control, remote experimentation, integrated product and process development, knowledge based system development, and manufacturing systems optimization. All efforts are multi-disciplinary in nature and integrate mathematical modeling, engineering principles, integration and optimization methods and experimental studies. He has received best paper awards from the Injection Molding Division of the Society of Plastics Engineers, and the Instrumentation Division of the American Society of Engineering Education. He is a member of the American Society for Engineering Education and the American Society of Mechanical Engineers.

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Abstract

Virtual laboratories are used in online education, corporate training and professional skill development. There are several aspects that determine the value and effectiveness of virtual laboratories: (i) the cost of developing which includes the cost of designing and implementing the laboratory exercises and creating the virtual environment, (ii) the benefits brought to the trainees compared with those provided by traditional physical laboratories and (iii) the operation which includes the communication between trainers and trainees, the authentication and remote proctoring of the trainees, etc. In this paper, a virtual laboratory system with biometric authentication and remote proctoring by employing facial recognition techniques is introduced. The general logic and basic algorithms used to enable biometric authentication and remote proctoring are described. When using this virtual laboratory system, the students log in by scanning their face with a camera. While performing a laboratory exercise, they sit in front of the camera and the virtual laboratory system monitors their facial expressions and their head motion in order to identify suspicious behaviors. Upon detection of such suspicious behaviors, the system records a video for further analysis by the laboratory administrator. An evaluation of the feasibility of this approach is presented.

Zhang, Z., & Zhang, M., & Chang, Y., & Esche, S. K., & Chassapis, C. (2016, June), A Virtual Laboratory System with Biometric Authentication and Remote Proctoring Based on Facial Recognition Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26481

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