Book :

Liu, H. and Ju, Z., Ji, X. Chan, C. and Khoury, M. Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach, Springer, 2017


Book Chapters:

Phiri, C., Ju, Z. and Liu, H. Accelerating Humanoid Robot learning from Human Action Skills Using Context-Aware Middleware, Lecture Notes in Computer Science, 9834, 1-12, 2016

Ouyang G., Ju, Z., Liu, H.: Mutual Information Analysis with Ordinal Pattern for EMG Based Hand Motion Recognition, Lecture Notes in Computer Science, 7506, 499-506, 2012   

Ju, Z. and Liu, H., Empirical Copula Driven Hand Motion Recognition via Surface Electromyography Based Templates, Lecture Notes in Computer Science, 6424, 71-80, 2010 

Ju, Z. and Liu, H. Dynamic Grasp Recognition Using Time Clustering, Gaussian Mixture Models and Hidden Markov Models, Lecture Notes in Artificial Intelligence, 5314, 669-678, 2008     



Guest Edited Journal Issues:

Yang, C., Liu, X., Ju, Z., Chen, F. and Annamalai, A. Innovative Design of Control System and User Interface for Teleoperation Robots, Advances in Mechanical Engineering, 2017 (forthcoming)

Ju, Z., Kubota, N., Lee, J., Liu, H., Advanced Intelligence Systems for Humanoid Robotics, International Journal of Humanoid Robotics, Guest Eidtorial, 2017 (forthcoming)

Ma, H., Yang, C., Culverhouse, P., Ju, Z., Cheng, L., Adaptation, Intelligence, and Collaboration in Robotics, Journal of Robotics, Guest Editorial, 2017 (forcoming)

Ju, Z., Palm, R. and Borovac, B. Human Robot Interaction, International Journal of Humanoid Robotics, Guest Editorial, 2014

Ouyang, G., Stathaki, T., Lam, H., Li, J. and Ju, Z. Novel Computational Tools in Biosignal Processing, The Scientific World Journal, Guest Editorial, 2015.

Journal Papers:

Gao, H., Ju, Z., Liu, J.  Zooming Image Based False Matches Elimination Algorithms for Robot Navigation, Advances in Mechanical Engineering, In Press, Manuscript DOI: 10.1177/1687814017738155

Li, J., Wang, J. and Ju, Z. A novel hand gesture recognition based on high-level features, International Journal of Humanoid Robotics, In Press

Chen, Y., Chen, J., Ju, Z. and Annamalai, ASK. Visual Servoing of Humanoid Dual-arm Robot with Neural Learning Enhanced Skill Transferring Control, International Journal of Humanoid Robotics, In Press

Liao, Y., Li, G., Sun, Y., Kong, J., Jiang, G., Jiang, D., Cai, H., Ju, Z., Yu, H., Liu, H. A Joint Optimization Approach for Multiple Kinect and External Cameras, Sensors, In Press.

Ji, X., Wang, C., and Ju Z. A new framework of human interaction recognition based on multiple stage probability fusion, Applied Sciences 7.6: 567, 2017

Esteban P… Ju, Z., and more, How to build a supervised autonomous system for robot-enhanced therapy for children with autism spectrum disorder, Paladyn: journal of behavioral robotics, 8(1), 2017.

Xue Y, Ju Z, Xiang K, Chen J., Liu H. Multiple sensors based hand motion recognition using adaptive directed acyclic graph, Applied Sciences, 7(4), 358, 2017

Chen D, Li G, Sun Y, Kong J, Jiang G, Tang H, Ju Z, Yu H, Liu H, An interactive image segmentation method in hand gesture recognition, Sensors, 2017, 17(2):253, doi:10.3390/s17020253.

Li Y, Ding W, Zhang X G, Ju, Z. Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes. Robotics & Autonomous Systems, 2016, 85:1-11.

Ju, Z., Ji, X., Li, J. and Liu, H. (In Press) An Integrative Framework for Human Hand Gesture Segmentation in RGB-D Data, IEEE Systems Journal

Fei, M., Ju, Z., Zhen, X. and Li, J. (In Press) Real-time visual tracking based on improved perceptual hashing, Multimedia Tools and Applications, doi: 10.1007/s11042-016-3723-5

Wang, X., Yang, C., Ju, Z., Ma, H. and Fu, M., Robot manipulator self-identification for surrounding obstacle detection, Multimedia Tools and Applications, 2016:1-16, doi: 10.1007/s11042-016-3275-8, 2016

Liu, J., Luo, Y. and Ju, Z., An Interactive Astronaut-Robot System with Gesture Control, Computational Intelligence and Neuroscience, 2016: 1-16, 2016

Ju, Z., Gao, D., Cao, J. and Liu, H. A Novel Approach to Extract Hand Gesture Feature in Depth Images, Multimedia Tools and Applications. doi: 10.1007/s11042-015-2609-2, 1-15, 2015

Ji, X., Ju, Z., Wang, C. and Wang, C. Multi-view transition HMMs based view-invariant human action recognition method, Multimedia Tools and Applications. doi:10.1007/s11042-015-2661-y, 1-18, 2015

Lu, Y., Ju, Z., Liu, Y., Shen, Y. and Liu, H. Time Series Modeling of Surface EMG Based Hand Manipulation Identification via Expectation Maximization Algorithm, Neurocomputing, 168:661-668, doi:10.1016/j.neucom.2015.05.058, 2015

Li, G., Miao, W., Jiang, G., Fang, Y., Ju, Z. and Liu, H., Intelligent Control Model and Its Simulation of Flue Temperature in Coke Oven, Discrete and Continuous Dynamical Systems Series S, 8(6): 1223-1237, 2015

Chen, D., Li, G., Jiang, G., Fang, Y., Ju, Z. and Liu, H., Intelligent Computational Control of Multi-Fingered Dexterous Robotic Hand. Journal of Computational and Theoretical Nanoscience, 12(12), pp.6126-6132, 2015

Li, Z., Li, G., Jiang, G., Fang, Y., Ju, Z. and Liu, H.,  Computation of Grasping and Manipulation for Multi-Fingered Robotic Hands. Journal of Computational and Theoretical Nanoscience, 12(12): 6192-6197, 2015

Ding, W., Li, G., Jiang, G., Fang, Y., Ju, Z. and Liu, H., Intelligent Computation in Grasping Control of Dexterous Robot Hand. Journal of Computational and Theoretical Nanoscience, 12(12): 6096-6099, 2015

Ouyang, G., Stathaki, T., Lam, H., Li, J. and Ju, Z. Novel Computational Tools in Biosignal Processing, The Scientific World Journal, Guest Editorial, 2015.

Miao, W., Li, G., Jiang, G., Fang, Y., Ju, Z. and Liu, H., Optimal grasp planning of multi-fingered robotic hands: a reveiw. Applied and computational mathematics, 14(3), pp.238-247, 2015

Ju, Z. and Liu, H. Human Hand Motion Analysis with Multisensory Information, IEEE/ASME Transactions on Mechatronics, 19(2):456-466, 2014 [PDF]

Ju. Z., Liu, H. and Xiong, Y. Fuzzy Empirical Coupula for Estimating Data Dependence Structure, International Journal of Fuzzy Systems, 16(2): 160-172, 2014 [PDF]

Ouyang, G. Ju, Z. Liu, H. Changes in EMG-EMG Coherence during Hand Grasp Movements, International Journal of Humanoid Robotics, 11.01, 2014. [PDF]

Ouyang, G. Zhu, X. Ju, Z. and Liu, H. Dynamical Characteristics of Surface EMG Signals of Hand Grasps via Recurrence Plot, IEEE Journal of Biomedical and Health Informatics, 18(1): 257-265, 2014 [PDF]

Ji, X., Wu, Q., Ju, Z. and Wang Y., (Accepted) Study of Human Action Recognition Based on Improved Spatio-temporal Features, International Journal of Automation and Computing

Gao, D., Cao, J. and Ju, Z, (Accepted) Real Time Object Tracking with Sparse Prototypes, International Journal of Signal and Image Processing

Ju, Z., Ouyang, G., Wilamowska-Korsak, M. and Liu, H. Surface EMG based Hand Manipulation Identification via Nonlinear Feature Extraction and Classification, IEEE Sensors Journal,13(9):3302-3311, 2013.  [PDF]

Ju, Z. and Liu, H. Fuzzy Gaussian Mixture Models, Pattern Recognition, 45(3): 1146-1158, 2012 [PDF]

Ju, Z. and Liu, H. A Unified Fuzzy Framework for Human Hand Motion Recognition, IEEE Transactions on Fuzzy Systems, 19(5):901-913, 2011[PDF]

Ju, Z., Zhu, X. and Liu, H. Empirical Copula Based Templates to Recognize Surface EMG Signals of Hand Motions, International Journal of Humanoid Robotics, 8(4):725-741, 2011 [PDF]

Tan, J., Ju, Z., Hand, S. and Liu, H. Robot Navigation and Manipulation Control Based on Fuzzy Spatial Relation Analysis, International Journal of Fuzzy Systems, 3(4):292-301, 2011[PDF]

Ju, Z. and Liu, H. Recognizing Hand Grasp and Manipulation through Empirical Copula, International Journal of Social Robotics, 2(3):321-334, 2010. [PDF]

Ju, Z. and Liu, H, Zhu, X.Y., Xiong, Y.L. Dynamic Grasp Recognition using Time Clustering, Gaussian Mixture Models and Hidden Markov Models, Journal of Advanced Robotics, 2009, 23:1359-1371.[PDF]

 

Conference papers:

Gao, D., Ju, Z., Cao, J., Liu, H. Activity recognition for ASD children based on joints estimation, IEE International Conference on Systems, Man, and Cybernetics, 2017, accepted.

Fang, Y., Zhou, D., Li, K., Ju, Z., Liu, H. A Force-Driven Granular Model for EMG based Grasp Recognition, IEE International Conference on Systems, Man, and Cybernetics, 2017, accepted.

Jiang, Z., Yang, C., He, W., Ju, Z., Advanced tele-operated robot interface operation, ICMLC & ICWAPR 2017, accepted

Cousins, M., Yang, C., Chen, J., He, W., Ju, Z. Development of a Mixed Reality based Interface for Human Robot Interaction, ICMLC & ICWAPR 2017, accepted

B. Li, G. Li, Y. Sun, G. Jiang, J. Kong, Z. Ju and D. Jiang, A Review of Gesture Recognition Based on Computer Vision, IEEE International Conference on Advanced Robotics and Mechatronics, 2017, accepted

W. Hu, G. Li, Y. Sun, G. Jiang, J. Kong, Z. Ju and D. Jiang, A Review of Upper and Lower Limb Rehabilitation Training Robot, IEEE International Conference on Advanced Robotics and Mechatronics, 2017, accepted

Liao, Y., Li, G., Ju, Z., Liu, H., Jiang, D. Joint Kinect and Multiple External Cameras Simultaneous Calibration, IEEE International Conference on Advanced Robotics and Mechatronics, 2017, accepted

Wang, Z., Yang, C., Ju, Z., Li, Z., Su, C. Preprocessing and Transmission for 3D Point Cloud Data, International Conference on Intelligent Robotics and Applications, 2017, accepted

Xue, Y., Ju, Z., Xiang, K., Yang, C., Liu, H. Dexterous Hand Motion Classification and Recognition based on Multimodal Sensing, International Conference on Intelligent Robotics and Applications, 2017, accepted

Gao, Q., Liu, J., Ju, Z., Li, Y., Zhang, T., Zhang, L. Static hand gesture recognition with parallel CNNs for space human-robot interaction, International Conference on Intelligent Robotics and Applications, 2017, accepted (Outstanding Paper Award)

Xiang, R., Sun, C., Pang, M., Xiang, K., Ju, Z. Static ankle joint stiffness estimation with relaxed muscles through customized device, International Conference on Intelligent Robotics and Applications, 2017, accepted

Tang, H., Li, G., Sun, Y., Jiang, G., Kong, J. Ju, Z. Jiang, D. Rehabilitation Training for Leg Based on EEG-EMG Fusion, International Conference on Intelligent Robotics and Applications, 2017, accepted

Li, J., Zhou, X., Chen, S., Chan, S., Ju, Z. Robust object tracking via structure learning and patch refinment in handling occlusion, International Conference on Intelligent Robotics and Applications, 2017, accepted

Chen, D., Li, G., Kong, J., Jiang, G., Sun, Y., Jiang, D., Ju, Z. Hand Gesture Recognition Using Interactive Image Segmentation Method, International Conference on Intelligent Robotics and Applications, 2017, accepted

Phiri, C., Botzheim, J., Valle, C., Ju, Z., Yang, C., Liu, H. Dynamical System Algorithm Specification Analysis and Stabilization, International Conference on Intelligent Robotics and Applications, 2017, accepted

Phiri, C. C., Ju, Z., Liu, H., Kubota, N (2016). Enhanced Robot Learning using Fuzzy Q-Learning & Context-Aware Middleware, MHS2016, Japan.

Toda Y, Ju Z, Yu H, et al. Real-time 3D point cloud segmentation using Growing Neural Gas with Utility, International Conference on Human System Interactions. 2016.  (Best Paper Award)

Lan, Y., Li, J. and Ju, Z., (In Press) Data Fusion-based Real-Time Hand Gesture Recognition with Kinect V2, International Conference on Human System Interaction, 6-8 July 2016, Portsmouth, UK.

Gao, D., Ju, Z., Cao, J. and Liu,, H., (In Press) Towards Hand-Object Interaction Analysis From Depth Image, Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, Sapporo, Japan, 25-28, August, 2016

Phiri, C., Ju, Z. and Liu, H., Accelerating Humanoid Robot Learning from Human Action Skills Using Context-Aware Middleware, International Conference on Intelligent Robotics and Applications, Tokyo, Japan, 22-24, August, 2016

Zhang, S., Yu, H., Dong, J., Wang, T., Ju, Z. and Liu, H., (2015) Automatic Reconstruction of Dense 3D Face Point Cloud with A Single Depth Image, IEEE International Conference on Systems, Man and Cybernetics, Hongkong

Hettiaracchi, N., Ju, Z. and Liu, H. (2015) A New Wearable Ultrasound Muscle Activity Sensing System for Dexterous Prosthetic Control, IEEE International Conference on Systems, Man, and Cybernetics, Hongkong

Gao, D., Ju, Z., Cao, J. and Liu, H. (2015) Real time object tracking via a mixture model, International Symposium on Robot and Human Interactive Communication, Japan.

Fei, M., Li, J., Shao, L., Ju, Z. and Ouyang, G. (2015) Robust Visual Tracking Based on Improved Perceptual Hashing for Robot Vision, International Conference on Robotics and Applications, UK

Huang, H., Ju, Z. and Liu, H. (2014) Real-time Hand Gesture Feature Extraction using Depth Data, International Conference on Machine Learning and Cybernetics

Ju, Z., Wang, Y., Zeng, W. Cai, H. and Liu, H. (2014) a Modified EM Algorithm for Hand Gesture Segmentation in RGB-D Data, IEEE World Congress on Computational Intelligence

Yu H., Ju Z.,  Liu H. (2014) Image Factorization and Feature Fusion for Enhancing Robot Vision in Human Face Recognition, IEEE World Congress on Computational Intelligence

Tan, J., Ju, Z. and Liu, H. (2014) Grounding Spatial Relations in Natural Language by Fuzzy Representation for Human-Robot Interaction, 2014 IEEE World Congress on Computational Intelligence

Fang, Y., Ju, Z., Zhu, X. and Liu, H. (2014) Finger Pinch Force Estimation through Muscel Activations using a Surface EMG Sleeve on the Forearm, IEEE World Congress on Computational Intelligence

Gao, D., Cao, J., Ju, Z., (2014) An Algorithm for Real-time Object Tracking in Complex Environment, IEEE World Congress on Computational Intelligence

Ju, Z., Ouyang, G., Wilamowska-Korsak, M., Liu, H. (in press) Recognising sEMG Patterns for Interacting with Prosthetic Manipulation, Frontiers of Intelligent Control and Information Processing, World Scientific Publishing, Editors: Liu, D., Alippi, C., Zhao, D., and Zhang, H.

Ju, Z., Wang, Y., Chen. S.Y., Liu, H. (2013) Depth and RGB Image Alignment for Hand Gesture Segmentation using Kinect, Proc. International Conference on Machine Learning and Cybernetics, pp. 1-8, Tianjing, China

Ju, Z., Ouyang, G. and Liu, H., EMG-EMG Correlation Analysis for Human Hand Movements, IEEE Symposium Series on Computational Intelligence, pp. 38-42 Singapore, 2013

Julier, S. and Ju, Z. Process Model Parameterisation in Posegraphs, American Control Conference, pp. 1368-1373, USA, 2013

Ouyang, G. Ju, Z. and Liu, H. Honghai Liu: Mutual Information Analysis with Ordinal Pattern for EMG Based Hand Motion Recognition. ICIRA (1) 499-506, Canada, 2012 [PDF]

Ju, Z. and Liu, H. A Generalised Framework for Analysing Human Hand Motions based on Multisensor Information, World Congress on Computational Intelligence, Australia, 2012.

Ouyang, G., Ju, Z. and Liu, H. Surface EMG Signals Determinsism Analysis Based on Recurrence Plot for Hand Grasps, World Congress on Computational Intelligence, Australia, 2012.

Ju, Z. and Liu, H. Hand Motion Recognition via Fuzzy Active Curve Axis Gaussian Mixture Models: a Comparative Study, Proc. IEEE International Conference on Fuzzy Systems, Taiwan, 2011 [PDF]

Ju, Z. and Liu, H. Empirical Copula Driven Hand Motion Recognition via Surface Electromyography based Templates, International Conference on Intelligent Robots and Applications, Shanghai, China, 2010 [PDF]


Ju, Z. and Liu, H. Human Hand Motion Recognition using Empirical Copula, Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, Taiwan, 2010 [PDF]


Ju, Z. and Liu, H. Applying Fuzzy EM Algorithm with a Fast Convergence to GMMs, Proc International Conference on Fuzzy Systems, World Congress on Computational Intelligence, Spain, 2010 [PDF]


Ju, Z. and Liu, H. A Modified Expectation Maximization Algorithm for Gaussian Mixture Models, Proc 2009 UK National Workshop on Computational Intelligence, Nottingham, UK, 2009 [PDF]


Cao, J., Ju, Z . Ji, X. and Liu, H. A Switching Fuzzy Control Method for the Magnetic Active Suspension Systems, Proc IEEE International Conference on Fuzzy Systems, 1-5, Korea. (Best Competition Paper Award at FUZZ-IEEE2009) [PDF]


Ju, Z., Liu, H. and Xiong, Y.L. Fast Estimating Data Dependence Structure via Fuzzy Empirical Copula, Proc IEEE International Conference on Fuzzy Systems, Jeju island, Korea, 2009 [PDF]


Ju, Z., Liu, H., Zhu, X.Y., Xiong, Y.L. Dynamic Grasp Recognition using Time Clustering, Gaussian Mixture Models and Hidden Markov Models, International Conference on Intelligent Robots and Applications, Part I, 669-678, Wuhan, China, 2008. (Best Paper Award) [PDF]


Ju, Z. and Liu, H. A Comparison of Grasp Recognition Methods for Programming by Demonstration, Proc. UK National Workshop on Computational Intelligence, Leicester, UK, 2008. [PDF]


Thesis:

Ju, Z., A fuzzy framework for human hand motion recognition, University of Portsmouth, UK, Aug. 2010