A hand-centric classification of human and robot dexterous manipulation, IEEE Trans. Haptics, vol.6, issue.2, pp.129-144, 2013. ,
Model-based autonomous system for performing dexterous, human-level manipulation tasks, Auto. Robots, vol.36, issue.2, pp.31-49, 2014. ,
Haptics electromyogrphy perception and learning enhanced intelligence for teleoperated robot, IEEE Trans. Autom. Sci. Eng ,
Enhanced teleoperation performance using hybrid control and virtual fixture, Int. J. Syst. Sci, vol.50, issue.3, pp.451-462, 2019. ,
Control of generalized contact motion and force in physical human-robot interaction,'' in Proc, IEEE Int. Conf. Robot. Autom. (ICRA), pp.2298-2304, 2015. ,
Variable impedance control of redundant manipulators for intuitive human-robot physical interaction, IEEE Trans. Robot, vol.31, issue.4, pp.850-863, 2015. ,
The use of surface electromyography in biomechanics, J. Appl. Biomech, vol.13, issue.2, pp.135-163, 1997. ,
Surface electromyography applications, Apunts Medicina de l' Esport (English Edition), vol.45, issue.166, pp.127-136, 2010. ,
Surface electromyography: Why, when and how to use it, Revista Andaluza de Medicina del Deporte, vol.4, issue.1, pp.17-28, 2011. ,
Simultaneous and proportional force estimation in multiple degrees of freedom from intramuscular EMG, IEEE Trans. Biomed. Eng, vol.59, issue.7, pp.1804-1807, 2012. ,
An EMG to force model for the human elbow derived from surface EMG parameters, Proc. 17th Int, vol.2, pp.1205-1206, 1995. ,
Relation of human electromyogram to muscular tension, Electroencephalogr. Clin. Neurophysiol, vol.4, issue.2, pp.187-194, 1952. ,
Voluntary EMG-to-force estimation with a multi-scale physiological muscle model, Biomed. Eng. Online, vol.12, issue.1, p.86, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00868769
Hill-based muscle models: A systems engineering perspective,'' in Multiple Muscle Systems, pp.69-93, 1990. ,
Estimation of muscle forces and joint moments using a forward-inverse dynamics model, Med. Sci. Sports Exerc, vol.37, issue.11, pp.1911-1916, 2005. ,
EMG-to-force estimation with full-scale physiology based muscle model, Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst, pp.1621-1626, 2009. ,
URL : https://hal.archives-ouvertes.fr/lirmm-00429594
A study on estimation of joint force through isometric index finger abduction with the help of SEMG peaks for biomedical applications, IEEE Trans. Cybern, vol.46, issue.1, pp.2-8, 2016. ,
A comparison among different hill-type contraction dynamics formulations for muscle force estimation, Mech. Sci, vol.7, issue.1, pp.19-29, 2016. ,
An optimized artificial neural network for human-force estimation: Consequences for rehabilitation robotics, Ind. Robot Int. J, vol.45, issue.3, pp.416-423, 2018. ,
Dynamic modeling of SEMG-force relation in the presence of muscle fatigue during isometric contractions, Biomed. Signal Process. Control, vol.28, pp.41-49, 2016. ,
Estimation of handgrip force from SEMG based on wavelet scale selection, Sensors, vol.18, issue.2, p.663, 2018. ,
Estimation of elbowinduced wrist force with EMG signals using fast orthogonal search, IEEE Trans. Biomed. Eng, vol.54, issue.4, pp.683-693, 2007. ,
Simultaneous and proportional force estimation for multifunction myoelectric prostheses using mirrored bilateral training, IEEE Trans. Biomed. Eng, vol.58, issue.3, pp.681-688, 2011. ,
Estimation of the dynamic spinal forces using a recurrent fuzzy neural network, Man, Cybern. B, Cybern, vol.37, issue.1, pp.100-109, 2007. ,
A deep-neuro-fuzzy approach for estimating the interaction forces in robotic surgery, Proc. IEEE Int. Conf. Fuzzy Syst, pp.1113-1119, 2016. ,
Grip force and 3D push-pull force estimation based on SEMG and GRNN, Frontiers Neurosci, vol.11, p.343, 2017. ,
Design of an accurate end-of-arm force display system based on wearable arm gesture sensors and EMG sensors, Inf. Fusion, vol.39, pp.178-185, 2018. ,
Feasibility study of advanced neural networks applied to sEMG-based force estimation, Sensors, vol.18, issue.10, p.3226, 2018. ,
Modified EMG-based handgrip force prediction using extreme learning machine, Soft Comput, vol.21, issue.2, pp.491-500, 2017. ,
Surface EMG based handgrip force predictions using gene expression programming, Neurocomputing, vol.207, pp.568-579, 2016. ,
Comparing support vector machines with Gaussian kernels to radial basis function classifiers, IEEE Trans. Signal Process, vol.45, issue.11, pp.2758-2765, 1997. ,
Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection, IEEE Trans. Biomed. Eng, vol.55, issue.2, pp.512-518, 2008. ,
Teleoperation control based on combination of wave variable and neural networks, Man, Cybern., Syst, vol.47, issue.8, pp.2125-2136, 2017. ,
Adaptive neural control of uncertain MIMO nonlinear systems with state and input constraints, IEEE Trans. Neural Netw. Learn. Syst, vol.28, issue.6, pp.1318-1330, 2017. ,
Learning subspace-based RBFNN using coevolutionary algorithm for complex classification tasks, IEEE Trans. Neural Netw. Learn. Syst, vol.27, issue.1, pp.47-61, 2016. ,
Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals, Comput. Methods Programs Biomed, vol.127, pp.52-63, 2016. ,
The estimation of grasping force based on the feature extracted from EMG signals, Proc. IEEE Adv. Inf. Manage., Commun., Electron. Autom. Control Conf. (IMCEC), pp.1477-1480, 2016. ,
Probability density of the surface electromyogram and its relation to amplitude detectors, IEEE Trans. Biomed. Eng, vol.46, issue.6, pp.730-739, 1999. ,
A three-domain fuzzy wavelet system for simultaneous processing of time-frequency information and fuzziness, IEEE Trans. Fuzzy Syst, vol.21, issue.1, pp.176-183, 2013. ,
Adaptive fuzzy wavelet neural network filter for hand tremor canceling in microsurgery, Appl. Soft Comput, vol.11, issue.8, pp.5315-5329, 2011. ,
A task learning mechanism for the telerobots, Int. J. Humanoid Robot, vol.16, issue.2, p.1950009, 2019. ,
Impact of load variation on joint angle estimation from surface EMG signals, IEEE Trans. Neural Syst. Rehabil. Eng, vol.24, issue.12, pp.1342-1350, 2016. ,
Personalized variable gain control with tremor attenuation for robot teleoperation, Man, Cybern. A, Syst, vol.48, issue.10, pp.1759-1770, 2018. ,
, His research interests include robotics, teleoperation, haptics, nonlinear control theory, machine learning, and human-robot interaction, JING LUO (S'17) is currently pursuing the Ph.D. degree with the South China University of Technology, 2018.