Bio:

Wenqiang (Winston) Chen is a Ph.D. candidate at the University of Virginia working with Professor John Stankovic. His research interests are in the area of Cyber-Physical Systems (CPS), including the Internet-of-Things (IoT), embedded sensing systems, ubiquitous and wearables computing, human-computer interaction, and machine perception. In particular, his research proposes Vibration Intelligence (VibInt) to perceive and infer information from human bodies, robots, and environments using vibrations. VibInt has been published in 10+ papers in top conferences and journals (Mobicom, Ubicomp, SenSys, TMC, etc.) to advance a wide variety of areas, such as wearables interfaces, robotics, smart health, smart home, privacy and security. He won IEEE SECON 2018 Best paper award and ACM SenSys 2020 Best demo award. He is also a co-founder of VibInt AI, a startup working on wearable devices using VibInt technologies. His research IPs have been used in thousands of commodity devices.


News:


Research:

Vibration Intelligence: Bringing Machine Perception Beyond the Human-like

Entrepreneurship:

I co-founded a startup company, VibInt AI, which leverages the IP from my research. VibInt AI received first round funding and sold 10,000 + devices. Cooperating with MAD Gaze, VibInt launched smartwatches with the IP from my research on the crowdfunding platform Indiegogo, which exceeded the crowdfunding target amount by 27 times. I also attended CES 2019 to demonstrate our products.

Honors and Awards:


Publications:

  1. ViFin: Harness Passive Vibration to Continuous Micro Finger Writing with a Commodity Smartwatch. (To appear)
    Wenqiang Chen, Lin Chen, Meiyi Ma, Farshid Salemi Parizi, Shwetak Patel, John Stankovic.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2021.
  2. Tuna Robotics: Using Machine Learning and Interial Measurement Sensors for Sensory Feedback During Swimming. (abstract)
    Wenqiang Chen, Joseph Zhu, John Stankovic, George V. Lauder, Hilary Bart-Smith
    The Society for integrative and comparative biology, 2021.
  3. (Best Demo Award) Demo Abstract: A Smartwatch Product Provides On-body Tapping Gestures Recognition.
    Wenqiang Chen, Lin Chen, Kenneth Wan, and John Stankovic.
    In The 18th ACM Conference on Embedded Networked Sensor Systems, November 16–19, 2020, Virtual Event, Japan.
  4. Demo Abstract: Continuous Micro Finger Writing Recognition with a Commodity Smartwatch.
    Wenqiang Chen, Lin Chen, Meiyi Ma, Farshid Salemi Parizi, Patel Shwetak, and John Stankovic.
    In The 18th ACM Conference on Embedded Networked Sensor Systems, November 16–19, 2020, Virtual Event, Japan.
  5. Power Saving and Secure Text Input for Commodity Smart Watches.
    Kaishun Wu, Yandao Huang, Wenqiang Chen, Lin Chen, Xinyu Zhang, Lu Wang, Rukhsana Ruby.
    IEEE Transactions on Mobile Computing, 2020.
  6. Taprint: Secure Text Input for Commodity Smart Wearables.
    Wenqiang Chen, Lin Chen, Yandao Huang, Xinyu Zhang, Lu Wang, Rukhsana Ruby, Kaishun Wu.
    The Annual ACM International Conference on Mobile Computing and Networking, 2019.

  7. A Low Latency On-body Typing System through Single Vibration Sensor.
    Wenqiang Chen, Maoning Guan, Yandao Huang, Lu Wang, Rukhsana Ruby, Wen Hu, Kaishun Wu.
    IEEE Transactions on Mobile Computing, 2019.
  8. G-Fall: Location-assisted Training-free Fall Detection with Geophones.
    Yandao Huang*, Wenqiang Chen*, Hongjie Chen, Lu Wang, and Kaishun Wu.(*Joint first authors)
    The Annual IEEE International Conference on Sensing, Communication and Networking, 2019.
  9. FaceInput: A Hand-Free and Secure Text Entry System through Facial Vibration.
    Maoning Guan, Wenqiang Chen, Yandao Huang, Rukhsana Ruby, Kaishun Wu.
    The Annual IEEE International Conference on Sensing, Communication and Networking, 2019.
  10. (Best Paper Award) ViType: A Cost Efficient On-body Typing System through Vibration.
    Wenqiang Chen, Maoning Guan, Yandao Huang, Lu Wang, Rukhsana Ruby, Wen Hu, Kaishun Wu.
    The Annual IEEE International Conference on Sensing, Communication and Networking, 2019.
  11. Demo: Virtual Keyboard for Wearable Wristbands.
    Wenqiang Chen, Yanming Lian, Lu Wang, Rukhsana Ruby, Wen Hu, Kaishun Wu.
    The ACM Conference on Embedded Networked Sensor Systems, 2017.
  12. FLoc: Device free Passive Indoor Localization in Complex Environments.
    Wenqiang Chen, Maoning Guan, Lu Wang, Rukhsana Ruby, Wen Hu, Kaishun Wu.
    The IEEE International Conference on Communications, 2017.