

Professor Honghai Liu
Biography
I recieved a PhD in Intelligent Robotics from King's College, University of London. I am a Chair in Human Machine Systems at the University of Portsmouth, the Director for Biomedical Robotics and Intelligent Systems since 2005. I previously worked in industry on large-scale industrial control and system integration projects, and held appointments at the University of London and University of Aberdeen.
Research interests
My research focuses on motion sensing and understanding and its applications to human machine systems, particularly those approaches which could make contributions to the intelligent connection of perception to action with applications in exploring solutions to children with Autism Spectrum Disorder and stroke patients. I appreciate financial support from the Royal Society, the Royal Academy of Engineering, EPSRC, EU 7th Framework Programme, SEEDA, Japan Society for the Promotion of Science and the British Council, as well as national and international industrial and academic partners.
Research outputs
2025
A wearable multisensor fusion system for neuroprosthetic hand
Yin, Z., Meng, J., Shi, S., Guo, W., Yang, X., Ding, H., Liu, H.
15 Apr 2025, In: IEEE Sensors Journal. 25, 8, p. 12547-12558, 12p.
Research output: Article
Dual-modal gesture recognition using adaptive weight hierarchical soft voting mechanism
Zhang, Y., Wei, S., Wang, Z., Liu, H.
7 Mar 2025, In: IEEE Transactions on Cybernetics. 55, 3, p. 1497-1508, 12p.
Research output: Article
Automatic recognition of social engagement for children with autism spectrum disorder
Wang, X., Zhang, X., Wang, Z., Nie, W., Zhang, H., Xu, X., Liu, H.
20 Jan 2025,
Research output: Conference contribution
Self-compassion, mental health, and parenting: Comparing parents of autistic and non-autistic children
Liang, K., Lai Lam, K. K., Huang, L., Lin, X., Wang, Z., Liu, H., Chi, P.
2 Jan 2025, In: Autism. 29, 1, p. 53-63, 11p.
Research output: Article
Self-supervised learning for intuitive control of prosthetic hand movements via sonomyography
Yang, X., Yin, Z., Sheng, Y., Farina, D., Liu, H.
1 Jan 2025, In: IEEE Transactions on Cybernetics. 55, 1, p. 409-420, 12p., 1
Research output: Article
2024
Ultrasound as a neurorobotic interface: a review
Yang, X., Castellini, C., Farina, D., Liu, H.
1 Jun 2024, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 54, 6, p. 3534-3546, 13p.
Research output: Article
Training object detectors from scratch: an empirical study in the era of vision transformer
Hong, W., Ren, W., Lao, J., Xie, L., Zhong, L., Wang, J., Chen, J., Liu, H., Chu, W.
26 Feb 2024, In: International Journal of Computer Vision, 14p.
Research output: Article
2023
Action quality assessment methods for ASD behaviour evaluation
Zhang, D., Zhou, D., Liu, H.
28 Nov 2023,
Research output: Conference contribution
Analyze hand motor capabilities for potential autistic intervention: a feasibility study
Toptan, C. M., Zhang, D., Liu, H.
28 Nov 2023,
Research output: Conference contribution
Assessment of visual motor integration via hand-drawn imitation: a pilot study
Zhang, D., Lu, B., Guo, J., He, Y., Liu, H.
22 Jun 2023, In: Electronics (Switzerland). 12, 13, 13p., 2776
Research output: Article