• Phone+442895367264
  • Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 82 Citations
  • 5 h-Index
20112020

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

Dr Lu Bai joined the School of Computing as a lecturer in June 2019. Before joining Ulster, She was a Data Scientist in Shearwater Systems Ltd, a Research Associate at University of Kent, a Research Associate at University of Sheffield. She received her PhD degree in Electronic Engineering at University of Kent and BEng (Biomedical Engineering) from Tianjin University, China.

 

Her research mainly explores the development of smart sensing systems and applying machine learning and data analytics techniques to problems in smart health, smart city and smart home applications.

  • Rehabilitation Engineering and Biomechanics: Quantitatively assessment of upper limb rehabilitation through using wearable sensing technologies and the development of biomechanical models;
  • IoT and Sensing Technologies: Developing sensing systems for smart transportation and low-cost ubiquitous air quality monitoring;
  • Data Analytics: Applying machine learning and deep learning techniques on the exploration of human life patterns utilising the smart wearables and smart phone sensing.

Fingerprint Dive into the research topics where Lu Bai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 38 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

  • 82 Citations
  • 5 h-Index
  • 5 Conference contribution
  • 5 Article
  • 2 Poster
  • 1 Conference article

A Low Cost Indoor Positioning System Using Bluetooth Low Energy

Bai, L., Ciravegna, F., Bond, R. & Mulvenna, M., 27 Jul 2020, In : IEEE Access. 8, p. 136858 - 136871 14 p., 9149894.

Research output: Contribution to journalArticle

Open Access
File
  • 2 Downloads (Pure)

    Inertial sensor based quantitative assessment of upper limb range of motion and functionality before and after botulinum toxin: a pilot study

    Bai, L., Pepper, M. G., Yan, Y., Phillips, M. & Sakel, M., 17 Feb 2020, (Accepted/In press) In : Global Journal of Engineering and Technology Advances.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 1 Downloads (Pure)

    Low Cost Inertial Sensors for the Motion Tracking and Orientation Estimation of Human Upper Limbs in Neurological Rehabilitation

    Bai, L., Pepper, M. G., Yan, Y., Phillips, M. & Sakel, M., 29 Feb 2020, (Accepted/In press) In : IEEE Access. 8, p. 54254 - 54268 15 p., 9036872.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 3 Citations (Scopus)
    42 Downloads (Pure)

    Quantitative measurement of Upper limb motion pre- and post-treatment with Botulinum Toxin

    Bai, L., Pepper, M. G., Yan, Y., Phillips, M. & Sakel, M., 28 Jul 2020, (Accepted/In press) In : Measurement. 16 p.

    Research output: Contribution to journalArticle

  • Motion2Vector: unsupervised learning in human activity recognition using wrist-sensing data

    Bai, L., Yeung, C., Efstratiou, C. & Chikomo, M., 9 Sep 2019, UbiComp/ISWC 2019 - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York: Association for Computing Machinery, Inc, p. 537-542 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 3 Downloads (Pure)