An sEMG-Based Human–Robot Interface for Robotic Hands Using Machine Learning and Synergies

LIBSVM: A library for support vector machines

Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918 · see citing works

A Tutorial on Support Vector Machines for Pattern Recognition

Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,437 · see citing works

High-performance neuroprosthetic control by an individual with tetraplegia

Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., McMorland, A. J., Velliste, M., Boninger, M. L., & Schwartz, A. B. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61816-9 · Cited by 1,848 · see citing works

Algorithms and applications for approximate nonnegative matrix factorization

Berry, M. W., Browne, M., Langville, A. N., Pauca, V. P., & Plemmons, R. J. (2006) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2006.11.006 · Cited by 1,516 · see citing works

Filtering the surface EMG signal: Movement artifact and baseline noise contamination

Luca, C. J. D., Gilmore, L., Kuznetsov, M., & Roy, S. H. (2010) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2010.01.027 · Cited by 1,289 · see citing works

Myoelectric control systems—A survey

Asghari Oskoei, M., & Hu, H. (2007) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.07.009 · Cited by 1,244 · see citing works

Postural Hand Synergies for Tool Use

Santello, M., Flanders, M., & Soechting, J. F. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-23-10105.1998 · Cited by 1,215 · see citing works

The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

Farina, D., Jiang, N., Rehbaum, H., Holobar, A., Graimann, B., Dietl, H., & Aszmann, O. C. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2305111 · Cited by 999 · see citing works

Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use

Scheme, E., & Englehart, K. B. (2011) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2010.09.0177 · Cited by 983 · see citing works

Control of Fast-Reaching Movements by Muscle Synergy Combinations

d’Avella, A., Portone, A., Fernandez, L., & Lacquaniti, F. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0830-06.2006 · Cited by 727 · see citing works

Human Hand Function

Jones, L. A., & Lederman, S. J. (2006) · doi:10.1093/acprof:oso/9780195173154.001.0001 · Cited by 720 · see citing works

Computations Underlying the Execution of Movement: A Biological Perspective

Bizzi, E., Mussa-Ivaldi, F. A., & Giszter, S. F. (1991) · Science · doi:10.1126/science.1857964 · Cited by 681 · see citing works

Upper-Limb Prosthetics

Biddiss, E. A., & Chau, T. T. (2007) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0b013e3181587f6c · Cited by 646 · see citing works

An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot

Kiguchi, K., & Hayashi, Y. (2012) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2012.2185843 · Cited by 532 · see citing works

Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities

Atkins, D. J., Heard, D. C. Y., & Donovan, W. H. (1996) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/00008526-199600810-00003 · Cited by 517 · see citing works

Neuromechanics of muscle synergies for posture and movement

Ting, L. H., & McKay, J. L. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.01.002 · Cited by 514 · see citing works

Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks

Meng, J., Zhang, S., Bekyo, A., Olsoe, J., Baxter, B., & He, B. (2016) · Scientific Reports · doi:10.1038/srep38565 · Cited by 484 · see citing works

Myoelectric forearm prostheses: State of the art from a user-centered perspective

Peerdeman, B., Boere, D., Witteveen, H. J. B., `tVeld, R. H. I., Hermens, H. J., Stramigioli, S., Rietman, H. S., Veltink, P. H., & Misra, S. (2011) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2010.08.0161 · Cited by 467 · see citing works

Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal

Jiang, N., Englehart, K. B., & Parker, P. A. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.2007967 · Cited by 453 · see citing works

Anatomical Guide for the Electromyographer: The Limbs and Trunk

Buschbacher, R. M. (2007) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0b013e31803217b1 · Cited by 345 · see citing works

Decoding of Individuated Finger Movements Using Surface Electromyography

Tenore, F. V., Ramos‐Murguialday, A., Fahmy, A., Acharya, S., Etienne‐Cummings, R., & Thakor, N. V. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.2005485 · Cited by 344 · see citing works

Controlling impedance at the man/machine interface

Hogan, N. (2003) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1989.100210 · Cited by 335 · see citing works

Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands

Santello, M., Bianchi, M., Gabiccini, M., Ricciardi, E., Salvietti, G., Prattichizzo, D., Ernst, M. O., Moscatelli, A., Jörntell, H., Kappers, A. M. L., et al. (2016) · Physics of Life Reviews · doi:10.1016/j.plrev.2016.02.001 · Cited by 308 · see citing works

A survey of sensor fusion methods in wearable robotics

Novak, D., & Riener, R. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2014.08.012 · Cited by 252 · see citing works

Multijoint Muscle Regulation Mechanisms Examined by Measured Human Arm Stiffness and EMG Signals

Osu, R., & Gomi, H. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.4.1458 · Cited by 229 · see citing works

Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis

Hargrove, L. J., Scheme, E., Englehart, K. B., & Hudgins, B. S. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2039590 · Cited by 216 · see citing works

The DEXMART hand: Mechatronic design and experimental evaluation of synergy-based control for human-like grasping

Palli, G., Melchiorri, C., Vassura, G., Scarcia, U., Moriello, L., Berselli, G., Cavallo, A., Maria, G. D., Natale, C., Pirozzi, S., et al. (2014) · The International Journal of Robotics Research · doi:10.1177/0278364913519897 · Cited by 182 · see citing works

A Switching Regime Model for the EMG-Based Control of a Robot Arm

Artemiadis, P., & Kyriakopoulos, K. J. (2010) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2045120 · Cited by 142 · see citing works

Development of the UB Hand IV: Overview of Design Solutions and Enabling Technologies

Melchiorri, C., Palli, G., Berselli, G., et al. (2013) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2012.2225471 · Cited by 134 · see citing works

Translating the Brain-Machine Interface

Thakor, N. V. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3007303 · Cited by 128 · see citing works

A Method for the Control of Multigrasp Myoelectric Prosthetic Hands

Dalley, S. A., Varol, H. A., & Goldfarb, M. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2175488 · Cited by 113 · see citing works

Classification of Solder Joint Using Feature Selection Based on Bayes and Support Vector Machine

Wu, H., Zhang, X., Xie, H., et al. (2013) · IEEE Transactions on Components Packaging and Manufacturing Technology · doi:10.1109/tcpmt.2012.2231902 · Cited by 92 · see citing works

A Prosthetic Hand Body Area Controller Based on Efficient Pattern Recognition Control Strategies

Benatti, S., Milosevic, B., Farella, E., Gruppioni, E., & Luca Benini, C. (2017) · Sensors · doi:10.3390/s17040869 · Cited by 62 · see citing works

Human?Machine Interfacing by Decoding the Surface Electromyogram [Life Sciences]

Farina, D., & Holobar, A. (2014) · IEEE Signal Processing Magazine · doi:10.1109/msp.2014.2359242 · Cited by 56 · see citing works

Experimental evaluation of postural synergies during reach to grasp with the UB hand IV

Ficuciello, F., Palli, G., Melchiorri, C., et al. (2011) · 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2011.6094671 · Cited by 56 · see citing works

Interaction Force, Impedance and Trajectory Adaptation: By Humans, for Robots

Burdet, E., Ganesh, G., Yang, C., & Albu‐Schäffer, A. (2013) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-28572-1_23 · Cited by 51 · see citing works

Intra-session and inter-day reliability of forearm surface EMG during varying hand grip forces

Oskouei, A. H., Paulin, M. G., & Carman, A. B. (2012) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2012.08.011 · Cited by 50 · see citing works

Control strategies for smart prosthetic hand technology: An overview

Naidu, D. S., Chen, C.-H., Gracia, A. P., et al. (2008) · doi:10.1109/iembs.2008.4650164 · Cited by 46 · see citing works

Changes in kinematic and EMG variability while practicing a maximal performance task

Gabriel, D. A. (2002) · Journal of Electromyography and Kinesiology · doi:10.1016/s1050-6411(02)00026-3 · Cited by 43 · see citing works

On the inter- and intra-subject variability of the electromyographic signal in isometric contractions.

Araújo, R., Duarte, M., & Amadio, A. C. (2000) · PubMed · Cited by 40 · see citing works

A sub-10mW real-time implementation for EMG hand gesture recognition based on a multi-core biomedical SoC

Benatti, S., Rovere, G., Bosser, J., Montagna, F., Farella, E., Glaser, H., Schönle, P., Burger, T., Fateh, S., Huang, Q., et al. (2017) · International Workshop on Advances in Sensors and Interfaces (IWASI) · doi:10.1109/iwasi.2017.7974234 · Cited by 32 · see citing works

A DC-connectable multi-channel biomedical data acquisition ASIC with mains frequency cancellation

Schönle, P., Schulthess, F., Fateh, S., Ulrich, R., Huang, F., Burger, T., & Huang, Q. (2013) · European Solid-State Circuits Conference (ESSCIRC) · doi:10.1109/esscirc.2013.6649094 · Cited by 27 · see citing works

Relation between object properties and EMG during reaching to grasp

Fligge, N., Urbanek, H., & van der Smagt, P. (2012) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2012.10.010 · Cited by 23 · see citing works

Scalable EEG seizure detection on an ultra low power multi-core architecture

Benatti, S., Montagna, F., Rossi, D., & Luca Benini, C. (2016) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2016.7833731 · Cited by 19 · see citing works

Multiple Biopotentials Acquisition System for Wearable Applications

Benatti, S., Milosevic, B., Tomasini, M., et al. (2015) · International Conference on Biomedical Electronics and Devices · doi:10.5220/0005320302600268 · Cited by 13 · see citing works

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Zhang, S., Li, Y., Zhang, S., Shahabi, F., Xia, S., Deng, Y., & Alshurafa, N. (2022) · Sensors · doi:10.3390/s22041476 · Cited by 625 · see citing works

A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends

Ni, S., Al-qaness, M. A. A., Hawbani, A., Al-Alimi, D., Abd Elaziz, M., & Ewees, A. A. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112235 · Cited by 74 · see citing works

TS2ACT: Few-Shot Human Activity Sensing with Cross-Modal Co-Learning

Xia, K., Li, W., Gan, S., & Lu, S. (2023) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3631445 · Cited by 19 · see citing works

A numerical simulation of the grasp operation by LARM Hand IV: A three finger robotic hand

Carbone, G., & Rodríguez, A. G. (2010) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2010.09.005 · Cited by 23 · see citing works

Studies on Bilateral Impedance Control Method for Teleoperation Robot

Ying, M., Gao, X., Han, S. Y., et al. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.602-605.924

Development of robot hand which can exert high grasping power with the structure of human hands

Kazuya, Y. U. R. A., IKEMOTO, S., & Hosoda, K. (2016) · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · doi:10.1299/jsmermd.2016.2a2-04b3

Experimental evaluation of postural synergies during reach to grasp with the UB hand IV

Ficuciello, F., Palli, G., Melchiorri, C., et al. (2011) · 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2011.6094671 · Cited by 56 · see citing works

Design considerations for moving and rotating fingers in robotic hand

Luo, M., Carbone, G., & Ceccarelli, M. (2008) · doi:10.1109/ical.2008.4636376