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Chen Yun Dai
Biomedical Engineering
Shanghai Jiao Tong University
Shanghai
Language: English, Chinese
Contact
Implantable Artificial Spinal Cord Neural Systems Paralyzed Rehabilitation Human-Machine Interaction Intent Recognition Biometric Silent Speech
Areas of Focus
  • Implantable artificial spinal cord and neural systems for paralyzed patients, and peripheral auxiliary motion rehabilitation systems
  • Intelligent human-machine interaction systems based on user intent recognition, including neural prosthetics and exoskeletons, virtual mice, drone flight, and motion-sensitive games
  • Neural biometric identity authentication systems
  • Silent speech recognition systems for the speech-impaired
Work Experience
  • 2023-present: Associate Professor, School of Biomedical Engineering, Shanghai Jiao Tong University
  • 2019-2023: Associate Researcher, School of Information Science and Engineering, Fudan University
  • 2016-2019: Postdoctoral Researcher, Department of Biomedical Engineering, University of North Carolina at Chapel Hill
Academic Background & Achievements
  • 2013-2016: PhD in Electrical and Computer Engineering, Worcester Polytechnic Institute
  • 2011-2013: Master's in Electrical and Computer Engineering, Worcester Polytechnic Institute
  • 2006-2010: Bachelor's in Electrical Engineering, Nanjing University of Aeronautics and Astronautics
Publications
  • Surface EMG Feature Disentanglement for Robust Hand Gesture Recognition, Fan, J., Jiang, X., Liu, X., Jia, F., Dai, C.*, 2023
  • sEMG-based Inter-Session Hand Gesture Recognition via Domain Adaptation with Locality Preserving and Maximum Margin, Guo, Y.,..., Dai, C.*, & Chen, W., 2023
  • Physiological measurements for driving drowsiness: a comparative study of multi-modality feature fusion and selection, Wu, Y., Jiang, X., Guo, Y., Zhu, H., Dai, C.*, & Chen, W., 2023
  • Cybersecurity in neural interfaces: Survey and future trends, Jiang, X., Fan, J., Zhu, Z., Wang, Z., Guo, Y., Liu, X., ... & Dai, C.*, 2023
  • Optimizing the feature set and electrode configuration of high-density electromyogram via interpretable deep forest, Li, J., Jiang, X., Liu, X., Jia, F., & Dai, C.*, 2023
  • Extracting spatial muscle activation patterns in facial and neck muscles for silent speech recognition using high-density sEMG, Tan, X., Jiang, X., Lin, Z., Liu, X., Dai, C.*, & Chen, W., 2023
  • Explainable and Robust Deep Forests for EMG-Force Modeling, Jiang, X., Nazarpour, K., Dai, C.*, 2023
  • Clinical Validation of a Capacitive Electrocardiogram Cushion Utilized for Arrhythmias Monitoring, Wu,Y,..., Dai, C.* & Chen, W., 2023
  • User-Tailored Hand Gesture Recognition System for Wearable Prosthesis and Armband Based on Surface Electromyogram, Meng, L.,..., Dai, C.* & Chen, W., 2022
  • Automatic Upper-Limb Brunnstrom Recovery Stage Evaluation via Daily Activity Monitoring, Meng, L.,..., Dai, C.* & Chen, W., 2022
  • Random Channel Masks for Regularization of Least Squares-Based Finger EMG-Force Modeling to Improve Cross-Day Performance, Jiang, X., Liu, X., Fan, J., Dai, C.*, Clancy, E. A. & Chen, W., 2022
  • Optimizing the Cross-Day Performance of Electromyogram Biometrics Decoder, Jiang, X., Meng, L., Liu, X., Fan, J., Ye, X., Dai, C.* & Chen, W., 2022
  • Measuring Neuromuscular Electrophysiological Activities to Decode HD-sEMG Biometrics for Cross-Application Discrepant Personal Identification in Smart Environment, Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C.*, Clancy, E. A. & Chen, W., 2022
  • fNIRS-Based Dynamic Functional Connectivity Reveals the Innate Musical Sensing Brain Networks in Preterm Infants, Ren, H., Zou, L., Wang, L., Lu, C., Yuan, Y., Dai, C.* and Chen, W., 2022
  • Optimization of HD-sEMG based Cross-Day Hand Gesture Classification by Optimal Feature Extraction and Data Augmentation, Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C.*, Clancy, E. A., Farina, D., & Chen, W., 2022
  • Evaluation of decomposition parameters for high-density surface electromyogram using fast independent component analysis algorithm, Meng, L., Chen, Q., Jiang, X., Liu, X., Fan, J., Dai, C.*, & Chen, W., 2022
  • Cancelable HD-sEMG Biometric Identification Via Deep Feature Learning, Fan, J., Jiang, X., Liu, X., Zhao, X., Ye, X., Dai, C.*, Clancy, E. A., Akay, M., & Chen, W., 2022
  • Neuromuscular Password-based User Authentication, Jiang, X., Xu, K., Liu, X., Dai, C.*, Clifton, D. A., Clancy, E. A., Akay, M., & Chen, W., 2021
  • Enhancing IoT Security via Cancelable HD-sEMG-based Biometric Authentication Password, Encoded by Gesture, Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C.*, Clancy, E. A., Farina, D., & Chen, W., 2021
  • Cancelable HD-sEMG-based Biometrics for Cross-Application Discrepant Personal Identification, Jiang, X., Xu, K., Liu, X., Dai, C.*, Clifton, D. A., Clancy, E. A., Akay, M., & Chen, W., 2021
  • Quantifying Spatial Activation Patterns of Motor Units in Finger Extensor Muscles, Jiang, X., Ren, H., Xu, K., Ye, X., Dai, C.*, Clancy, E. A., Zhang, Y., & Chen, W., 2021
  • A Review of Wearable and Unobtrusive Sensing Technologies for Chronic Disease Management, Guo, Y., Liu, X., Peng, S., Jiang, X., Xu, K., Chen, C., Z. Wang, Dai, C.* & Chen, W., 2021
  • Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings, Jiang, X., Liu, X., Fan, J., Ye, X., Dai, C.*, Clancy, E. A., Akay, M., & Chen, W., 2021
  • Data Management for Transfer Learning Approaches to Elbow EMG-Torque Modeling, Jiang, X., Bardizbanian, B., Dai, C.*, Chen, W., & Clancy, E. A., 2021
  • Evaluation of the short-term music therapy on brain functions of preterm infants using functional Near-infrared Spectroscopy, Ren, H., Zou, L., Wang, L., Lu, C., Yuan, Y., Dai, C.* and Chen, W., 2021
  • Finger joint angle estimation based on motoneuron discharge activities, Dai, C., & Hu, X., 2020
  • Independent component analysis based algorithms for high-density electromyogram decomposition: Experimental evaluation of upper extremity muscles, Dai, C., & Hu, X., 2019
  • Independent component analysis based algorithms for high-density electromyogram decomposition: Systematic evaluation through simulation, Dai, C., & Hu, X., 2019
  • Two degrees of freedom, dynamic, hand-wrist EMG-force using a minimum number of electrodes, Dai, C., Zhu, Z., Martinez-Luna, C., Hunt, T. R., Farrell, T. R., & Clancy, E. A., 2019
  • Single-trial estimation of quasi-static EMG-to-joint-mechanical-impedance relationship over a range of joint torques, Dai, C., Martel, S., Martel, F., Rancourt, D., & Clancy, E. A., 2019
  • Prediction of individual finger forces based on decoded motoneuron activities, Dai, C., Cao, Y., & Hu, X., 2019
  • Extracting and classifying spatial muscle activation patterns in forearm flexor muscles using high-density electromyogram recordings, Dai, C., & Hu, X., 2018
  • Estimation of muscle force based on neural drive in a hemispheric stroke survivor, Dai, C., Zheng, Y., & Hu, X., 2018
  • Origins of Common Neural Inputs to Different Compartments of the Extensor Digitorum Communis Muscle, Dai, C., Shin, H., Davis, B., & Hu, X., 2017
  • Altered motor unit discharge coherence in paretic muscles of stroke survivors, D
Awards
  • Shanghai Overseas High-Level Talents
  • Pujiang Talent
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