Yan WANG'S WEBSITE

Ubiquitous Sensing based Location-aware Driving Safety System

Synopsis:

This project seeks to conduct a comprehensive study to understand to what extent the current mobile devices can model various real-world driving behaviors and corresponding vehicle dynamics. A new real-time mobile sensing system, which combines real-time mobile sensing and heterogeneous driving environments, is developed to address driving safety concerns. The final results will be the abiding principles of cyber-physical architecture that resolve dynamic impacts of complex environments and provide clear guidelines over Internet of Things (IoTs).

This project is partially funded by the National Science Foundation.

Personnel:

Graduate Students: Tianming Zhao, Zhihua Li, Fatemeh Tahmasbi, Timothy M Redband, Pradeep Sai Uppula, Lu Lu, Meng Xu, Lekhana Kotaar, Aniketh Reddy Mallesh

Undergraduate Students: Yang Wen, Aishwarya P.R.

PI: Yan Wang

Collaborators:

Yingying Chen, Marco Gruteser, Jian Liu (Rutgers University)

Hongbo Liu (IUPUI)

Publications:

• Tianming Zhao, Yan Wang, Jian Liu, and Yingying Chen. "Toward Continuous User Authentication Using PPG in Commodity Wrist-worn Wearables." In The 25th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2019), Los Cabos, Mexico, October, 2019. NEW!
• Fatemeh Tahmasbi, Yan Wang, Yingying Chen, and Marco Gruteser. "Poster: Your Phone Tells Us The Truth: Driver Identification Using Smartphone on One Turn." In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2018), New Delhi, India, October/November, 2018. NEW!
• Tianming Zhao, Yan Wang, Jian Liu, and Yingying Chen. "Poster: Your Heart Won't Lie: PPG-based Continuous Authentication on Wrist-worn Wearable Devices." In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2018), New Delhi, India, October/November, 2018. NEW!
• Tianming Zhao, Jian Liu, Yan Wang, Hongbo Liu, Yingying Chen, "PPG-based Finger-level Gesture Recognition Leveraging Wearables," in Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM 2018), Honolulu, HI, USA, April 2018. (Acceptance rate: 309/1606 = 19.2%) NEW!

Educational Activities:

The PPG-based gesture recognition, PPG-based user authentication, and driver identification based on turning behavior are integrated into the course materials of the cross-listed course CS480S / CS580S at Binghamton University.

Graduate and undergraduate students are involved in the research tasks and experiments of these projects during their summer internship.

Outreaches & Broader Impacts:

The project was partially supported by the Transportation and Parking Services at Binghamton University and the on-campus shuttle service, OCCT. We reached out to the drivers of the on-campus shuttles for data collection. We also got support from Public Transportation in Broome County, NY in the course of the development of the proposed driver behavior analysis system. The project has involved 11 graduate/undergraduate students including five female students.

Code:

The PPG data and driving data are under preparation. We will share them later. Please send email to y.wang@temple.com for requesting the project code and data.