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  • 2025-07-15
    [朝闻天下]天津 第七届世界智能大会 智慧赋能生活 引领高质量发展
    第七届世界智能大会 智慧赋能生活 引领高质量发展

RESEARCH

  • AI-based Neurological disease diagnosis
  • Human motion intention estimation
  • FES-Soft Exosuit hybrid assistive system
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RUBLICATIONS

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  • Z. Guo, Z. Wang, Y. Wang, W. Huo*, J. Han, “Continuous Estimation of Swallowing Motion With EMG and MMG Signals”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.33, pp. 787-797, 2025.
  • P. Wattanasiri, S. Wilson, W. Huo*, R. Vaidyanathan*, “Gesture Recognition through Mechanomyogram Signals: An Adaptive Framework for Arm Posture VariabilitySingle-channel sEMG-based estimation of knee joint angle using a decomposition algorithm with
  • S. Zhang, N. Yu, Z. Guo, W. Huo*, J. Han, “Single-channel sEMG-based estimation of knee joint angle using a decomposition algorithm with a state-space model”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.31, pp. 4703-4712,
  • Q. Zeng, P. Liu, N. Yu, J. Wu*, W. Huo*, J. Han*, “Video-based quantification of gait impairments in Parkinson’s disease using skeleton-silhouette fusion convolution network”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.31
  • W. Huo*, M. A. Alouane, V. Bonnet, J. Huang, Y. Amirat, R. Vaidyanathan, and S. Mohammed, “Impedance Modulation Control of a Lower Limb Exoskeleton to Assist Sit-to-Stand Movements”, IEEE Transactions on Robotics, vol. 38, no. 2, pp.1230-1249, 2022.
  • C. Caulcrick, W. Huo*, E. Franco, S. Mohammed, W. Hoult, R. Vaidyanathan, “Model Predictive Control for Human-Centred Lower Limb Robotic Assistance”, IEEE Transactions on Medical Robotics and Bionics, vol. 3, no. 4, pp. 980 - 991, 2021.

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