The Smart Wearable Research and Development group is the part of the Health Care Electronics Research Centre at Greater Bay Area Institute of Precision Medicine (GBA-IPM). We are dedicated to using Artificial Intelligence (AI) and Internet of Things (IoT) technologies to develop medical-grade smart wearables for health care and early diagnosis for the elderly, people with disabilities, patients with cardiovascular diseases, and people with mental disorders.
We apply our research across the following areas:
- Wearable technologies: electronic-textiles, medical sensors
- Sensing system: physical sensors, optical sensors, chemical sensors
- Medical devices: physiologic parameters monitoring
- Smart Algorithm: Motion recognition, cardiovascular disease prediction, emotion detection
Hongtao Zhang received his Ph.D. from Queen Mary, University of London and joined the GBA-IPM full-time in 2022 as a Principal Investigator (PI) to form the smart wearable research and development group. He has been working in the area of smart wearables since 2015 at the University of Essex funded by Innovate UK. He has also worked as a research and development manager in a UK high-tech company, where his work has been successfully patented and commercialised in several countries. He has also participated in several projects funded by Innovate UK and the Engineering and Physical Sciences Research Council (EPSRC), in total over 1 million pounds.
Zeyang Dai received his Ph.D from University of Aizu, Japan, and currently is trained as a postdoctral scholar in the smart wearable research and development group of GBA-IPM. Starting from pursing Master degree, he had participated in the project which is targeting at developing smart wearable devices and supported by JSPS KAKENHI, and his work had been patented and published successfully. As well, he participated in the business cooperative program leaded by Mitsubishi Pencil Company. His interest includes smart wearable devices, embedded system development, inertial navigation, and numerical optimization techniques.
Z. Dai, and L. Jing. "Lightweight Extended Kalman Filter for MARG Sensors Attitude Estimation." IEEE Sensors Journal 21.13 (2021): 14749-14758.
Z. Dai, C. Lu and L. Jing, "Time Drift Compensation Method on Multiple Wireless Motion Capture Nodes," 2020 13th International Conference on Human System Interaction (HSI), 2020, pp. 266-271.
H.Zhang, M. Alrifaai, K. Zhou, H.Hu A novel fuzzy logic algorithm for accurate fall detection of smart wristband, Transactions of the Institute of Measurement and Control, 014233121988157 (2019).
G. Zheng, H.Zhang, K. Zhou, H. Hu Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband, The 25th International Conference on Automation and Computing, 2019
Z. Dai, and L. Jing. "Real-time attitude estimation of sigma-point Kalman filter via matrix operation accelerator." 2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). IEEE, 2019.
L. Jing, Z. Dai, and Y. Zhou. "Wearable handwriting recognition with an inertial sensor on a finger nail." 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). Vol. 1. IEEE, 2017.
Y. Zhou, Z. Dai, and L. Jing. "A controlled experiment between two methods on ten-digits air writing." 2016 IEEE International Conference on Computer and Information Technology (CIT). IEEE, 2016.
L. Zhao, C. Su, Z. Dai., H. Huang, S. Ding, X. Huang, Z. Han. "Indoor device-free passive localization with DCNN for location-based services." The Journal of Supercomputing 76.11 (2020): 8432-8449.
H. Zhang, P. Desai, A.J. Drew, W.P. Gillin and T. Kreouzis Ferromagnetic-organic interfacial states detected by transient conductivity and their role on low voltage current injection in organic spinvalves, Applied Physics Letter 105, 203301 (2014)
H. Zhang, P. Desai, Y.Q. Zhan, A.J. Drew, W.P. Gillin and T. Kreouzis1, The importance of holes in aluminium tris-8-hydroxyquinoline (Alq3) devices with ferromagnetic contacts, Applied Physics Letter 104, 013303 (2014)
A. Droghetti, S. Sanvito, H. Zhang, M. Wills, A.J. Drew and W. P. Gillin. Electronic and magnetic properties of the interface between metal-quinoline molecules and cobalt, Physics Review B, 89, 094412 (2014)
N. A Morley, A. J. Drew, H. Zhang, D. J. Morgan, M. J. R. Gibbs1 Study of the magnetic-organic interface in organic spin-valves, Applied Surface Science 313 (0), 850 (2014).
Postdoc Portions are open. We seek highly motivated, ambitious, and talented scientists to join an enthusiastic and collaborative team in an outstanding scientific environment to perform research. Candidates with a strong interest in flexible wearable sensor design, low power circuit and RF design, motion recognition, cardiovascular disease prediction and emotion detection are especially encouraged to apply. Upon completion of training, postdoc certificate will be granted by Fudan University, China.
