He Huang

Fleming, A., Liu, W., & Huang, H. (2022). Neural Coherence of Homologous Muscle Pairs During Direct EMG Control of Standing Posture in Transtibial Amputees. In Biosystems & Biorobotics (pp. 139–143). https://doi.org/10.1007/978-3-030-70316-5_23

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2022). Object Recognition via Evoked Sensory Feedback during Control of a Prosthetic Hand. IEEE ROBOTICS AND AUTOMATION LETTERS, 1. https://doi.org/10.1109/LRA.2021.3122897

Wu, R., Yao, Z., Si, J., & Huang, H. H. (2022). Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 1. https://doi.org/10.1109/JAS.2021.1004272

Wu, R., Li, M., Si, J., & Huang, H. (2022). Understanding Human-Prosthesis Interaction via Reinforcement Learning-Based Echo Control: A Case Study. In Biosystems & Biorobotics (pp. 697–701). https://doi.org/10.1007/978-3-030-70316-5_112

Tu, X., Li, M., Liu, M., Si, J., & Huang, H. H. (2021). A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. 2021 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra48506.2021.9562062

Pan, L., & Huang, H. (2021). A robust model-based neural-machine interface across different loading weights applied at distal forearm. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 67. https://doi.org/10.1016/j.bspc.2021.102509

Yuan, J., Cline, E., Liu, M., Huang, H., & Feng, J. (2021). [Review of Cognitive measures during walking with and without lower-limb prosthesis: protocol for a scoping review]. BMJ OPEN, 11(2). https://doi.org/10.1136/bmjopen-2020-039975

Fleming, A., Huang, S., Buxton, E., Hodges, F., & Huang, H. H. (2021). Direct continuous electromyographic control of a powered prosthetic ankle for improved postural control after guided physical training: A case study. Wearable Technologies, 2. https://doi.org/10.1017/wtc.2021.2

Zhong, B., Silva, R. L., Tran, M., Huang, H., & Lobaton, E. (2021). Efficient Environmental Context Prediction for Lower Limb Prostheses. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1–15. https://doi.org/10.1109/tsmc.2021.3084036

Nalam, V., & Huang, H. (2021, October). Empowering prosthesis users with a hip exoskeleton. NATURE MEDICINE, Vol. 27, pp. 1677–1678. https://doi.org/10.1038/s41591-021-01529-w

Zhong, B., Silva, R. L., Li, M., Huang, H., & Lobaton, E. (2021). Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 18(2), 458–470. https://doi.org/10.1109/TASE.2020.2993399

Fleming, A., Stafford, N., Huang, S., Hu, X., Ferris, D. P., & Huang, H. (2021). [Review of Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions]. JOURNAL OF NEURAL ENGINEERING, 7. https://doi.org/10.1088/1741-2552/ac1176

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2021). Perception of Static Position and Kinesthesia of the Finger using Vibratory Stimulation. 2021 10TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). https://doi.org/10.1109/NER49283.2021.9441255

Gao, X., Si, J., Wen, Y., Li, M., & Huang, H. (2021). Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. IEEE Transactions on Neural Networks and Learning Systems, 1–15. https://doi.org/10.1109/tnnls.2021.3071727

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2021). Static and dynamic proprioceptive recognition through vibrotactile stimulation. JOURNAL OF NEURAL ENGINEERING, 8(4), 046093. https://doi.org/10.1088/1741-2552/ac0d43

Huang, H., Si, J., Brandt, A., & Li, M. (2021). Taking both sides: seeking symbiosis between intelligent prostheses and human motor control during locomotion. CURRENT OPINION IN BIOMEDICAL ENGINEERING, 12, 100314. https://doi.org/10.1016/j.cobme.2021.100314

Tabor, J., Agcayazi, T., Fleming, A., Thompson, B., Kapoor, A., Liu, M., … Ghosh, T. K. (2021). Textile-Based Pressure Sensors for Monitoring Prosthetic-Socket Interfaces. IEEE SENSORS JOURNAL, 21(7), 9413–9422. https://doi.org/10.1109/JSEN.2021.3053434

Li, M., Wen, Y., Gao, X., Si, J., & Huang, H. (2021). Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. IEEE Transactions on Robotics, 1–10. https://doi.org/10.1109/tro.2021.3078317

Farina, D., Vujaklija, I., Branemark, R., Bull, A. M. J., Dietl, H., Graimann, B., … Aszmann, O. C. (2021, May 31). Toward higher-performance bionic limbs for wider clinical use. NATURE BIOMEDICAL ENGINEERING, Vol. 5. https://doi.org/10.1038/s41551-021-00732-x

Wu, W., Saul, K. R., & Huang, H. (2021). Using Reinforcement Learning to Estimate Human Joint Moments From Electromyography or Joint Kinematics: An Alternative Solution to Musculoskeletal-Based Biomechanics. JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 143(4). https://doi.org/10.1115/1.4049333

An Easy-to-Use Socket-Suspension System Monitor for Lower Limb Amputees. (2020). IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/tim.2020.2999738

Wu, S., Yao, S., Liu, Y., Hu, X., Huang, H. H., & Zhu, Y. (2020). Buckle-Delamination-Enabled Stretchable Silver Nanowire Conductors. ACS APPLIED MATERIALS & INTERFACES, 12(37), 41696–41703. https://doi.org/10.1021/acsami.0c09775

Park, J., Zahabi, M., Kaber, D., Ruiz, J., & Huang, H. H. (2020). Evaluation of Activities of Daily Living Tesbeds for Assessing Prosthetic Device Usability. 2020 IEEE International Conference on Human-Machine Systems (ICHMS). https://doi.org/10.1109/ichms49158.2020.9209553

Pan, L., Vargas, L., Fleming, A., Hu, X., Zhu, Y., & Huang, H. (2020). Evoking haptic sensations in the foot through high-density transcutaneous electrical nerve stimulations. Journal of Neural Engineering, 4. https://doi.org/10.1088/1741-2552/ab8e8d

Mcknight, M., Tabor, J., Agcayazi, T., Fleming, A., Ghosh, T., Huang, H., & Bozkurt, A. (2020). Fully-textile Insole Seam-line for Multi-modal Sensor Mapping. IEEE Sensors Journal, 1–1. https://doi.org/10.1109/jsen.2020.2990627

Human-prosthesis coordination: A preliminary study exploring coordination with a powered ankle-foot prosthesis. (2020). Clinical Biomechanics, 80, 105171. https://doi.org/10.1016/j.clinbiomech.2020.105171

Gao, X., Si, J., Wen, Y., Li, M., & Huang, H. H. (2020). Knowledge-Guided Reinforcement Learning Control for Robotic Lower Limb Prosthesis. 2020 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra40945.2020.9196749

Stallrich, J., Islam, M. N., Staicu, A.-M., Crouch, D., Pan, L., & Huang, H. (2020). OPTIMAL EMG PLACEMENT FOR A ROBOTIC PROSTHESIS CONTROLLER WITH SEQUENTIAL, ADAPTIVE FUNCTIONAL ESTIMATION (SAFE). ANNALS OF APPLIED STATISTICS, 14(3), 1164–1181. https://doi.org/10.1214/20-AOAS1324

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2020). Object Shape and Surface Topology Recognition Using Tactile Feedback Evoked through Transcutaneous Nerve Stimulation. IEEE TRANSACTIONS ON HAPTICS, 13(1), 152–158. https://doi.org/10.1109/TOH.2020.2967366

Lee, I.-C., Pacheco, M. M., Lewek, M. D., & Huang, H. (2020). Perceiving amputee gait from biological motion: kinematics cues and effect of experience level. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-73838-y

Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses. (2020). IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2020.2996960

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2020). Stiffness Perception using Transcutaneous Electrical Stimulation during Active and Passive Prosthetic Control. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/embc44109.2020.9176078

Wen, Y., Li, M., Si, J., & Huang, H. (2020). Wearer-Prosthesis Interaction for Symmetrical Gait: A Study Enabled by Reinforcement Learning Prosthesis Control. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 28(4), 904–913. https://doi.org/10.1109/TNSRE.2020.2979033

Zhang, T., Tran, M., & Huang, H. (2019). Admittance Shaping-Based Assistive Control of SEA-Driven Robotic Hip Exoskeleton. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 24(4), 1508–1519. https://doi.org/10.1109/TMECH.2019.2916546

Zahabi, M., White, M. M., Zhang, W., Winslow, A. T., Zhang, F., Huang, H., & Kaber, D. B. (2019). Application of Cognitive Task Performance Modeling for Assessing Usability of Transradial Prostheses. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 49(4), 381–387. https://doi.org/10.1109/THMS.2019.2903188

Pan, L., Crouch, D. L., & Huang, H. (2019). Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 27(10), 2145–2154. https://doi.org/10.1109/TNSRE.2019.2937929

Zhang, T., & Huang, H. (2019). Design and Control of a Series Elastic Actuator With Clutch for Hip Exoskeleton for Precise Assistive Magnitude and Timing Control and Improved Mechanical Safety. IEEE/ASME Transactions on Mechatronics, 24(5), 2215–2226. https://doi.org/10.1109/TMECH.2019.2932312

Brandt, A., Riddick, W., Stallrich, J., Lewek, M., & Huang, H. H. (2019). Effects of extended powered knee prosthesis stance time via visual feedback on gait symmetry of individuals with unilateral amputation: a preliminary study. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 16(1). https://doi.org/10.1186/s12984-019-0583-z

Effects of extended stance time on a powered knee prosthesis and gait symmetry on the lateral control of balance during walking in individuals with unilateral amputation. (2019). Journal of NeuroEngineering and Rehabilitation. https://doi.org/10.1186/s12984-019-0625-6

Qin, Q., Li, J., Yao, S., Liu, C., Huang, H., & Zhu, Y. (2019). Electrocardiogram of a Silver Nanowire Based Dry Electrode: Quantitative Comparison With the Standard Ag/AgCl Gel Electrode. IEEE ACCESS, 7, 20789–20800. https://doi.org/10.1109/ACCESS.2019.2897590

Vargas, L., Whitehouse, G., Huang, H., Zhu, Y., & Hu, X. (2019). Evoked Haptic Sensation in the Hand With Concurrent Non-Invasive Nerve Stimulation. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 66(10), 2761–2767. https://doi.org/10.1109/TBME.2019.2895575

Li, M., Zhong, B., Liu, Z., Lee, I.-C., Fylstra, B. L., Lobaton, E., & Huang, H. H. (2019). Gaze Fixation Comparisons Between Amputees and Able-bodied Individuals in Approaching Stairs and Level-ground Transitions: A Pilot Study. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/embc.2019.8857388

Liu, M., Lupiani, A., Lee, I.-C., & Huang, H. H. (2019). Identify Kinematic Features for Powered Prosthesis Tuning. 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR). Presented at the 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR). https://doi.org/10.1109/icorr.2019.8779516

Vargas, L., Shin, H., Huang, H. (H., Zhu, Y., & Hu, X. (2019). Object stiffness recognition using haptic feedback delivered through transcutaneous proximal nerve stimulation. Journal of Neural Engineering, 17(1), 016002. https://doi.org/10.1088/1741-2552/ab4d99

Li, M., Gao, X., Wen, Y., Si, J., & Huang, H. H. (2019). Offline Policy Iteration Based Reinforcement Learning Controller for Online Robotic Knee Prosthesis Parameter Tuning. 2019 International Conference on Robotics and Automation (ICRA). Presented at the 2019 International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra.2019.8794212

Wen, Y., Si, J., Brandt, A., Gao, X., & Huang, H. (2019). Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis. IEEE Transactions on Cybernetics, 1–11. https://doi.org/10.1109/tcyb.2019.2890974

Fleming, A., & Huang, H. H. (2019). Proportional Myoelectric Control of a Powered Ankle Prosthesis for Postural Control under Expected Perturbation: A Pilot Study. 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR). Presented at the 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR). https://doi.org/10.1109/icorr.2019.8779509

Fleming, A., Huang, S., & Huang, H. (2019). Proportional Myoelectric Control of a Virtual Inverted Pendulum Using Residual Antagonistic Muscles: Toward Voluntary Postural Control. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 27(7), 1473–1482. https://doi.org/10.1109/TNSRE.2019.2922102

Huang, S., & Huang, H. (2019). Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Reciprocal Activation, Coactivation, and Implications for Direct Neural Control of Powered Lower Limb Prostheses. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 27(1), 85–95. https://doi.org/10.1109/TNSRE.2018.2885641

Vempala, V., Liu, M., Kamper, D., & Huang, H. (2018). A Practical Approach for Evaluation of Socket Pistoning for Lower Limb Amputees. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2018.8513249

Pan, L., Harmody, A., & Huang, H. (2018). A Reliable Multi-User EMG Interface Based on A Generic-Musculoskeletal Model against Loading Weight Changes *. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2018.8512685

Zhang, T., & Huang, H. (2018). A lower-back robotic exoskeleton. IEEE Robotics & Automation Magazine, 25(2), 95–106. https://doi.org/10.1109/mra.2018.2815083

Fylstra, B. L., Dai, C., Hu, X., & Huang, H. H. (2018). Characterizing Residual Muscle Properties in Lower Limb Amputees Using High Density EMG Decomposition: A Pilot Study*. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2018.8513661

Crouch, D. L., Pan, L., Filer, W., Stallings, J. W., & Huang, H. (2018). Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 26(9), 1735–1744. https://doi.org/10.1109/TNSRE.2018.2859833

Fleming, A., Huang, S., & Huang, H. (2018). Coordination of Voluntary Residual Muscle Contractions in Transtibial Amputees: a Pilot Study. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2018.8512674

Zhang, T., Tran, M., & Huang, H. (2018). Design and experimental verification of hip exoskeleton with balance capacities for walking assistance. IEEE/ASME Transactions on Mechatronics, 23(1), 274–285. https://doi.org/10.1109/tmech.2018.2790358

Resnik, L., Huang, H., Winslow, A., Crouch, D. L., Zhang, F., & Wolk, N. (2018). Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control. Journal of Neuroengineering and Rehabilitation, 15. https://doi.org/10.1186/s12984-018-0361-3

Shin, H., Watkins, Z., Huang, H., Zhu, Y., & Hu, X. G. (2018). Evoked haptic sensations in the hand via non-invasive proximal nerve stimulation. Journal of Neural Engineering, 15(4). https://doi.org/10.1088/1741-2552/aabd5d

Vargas, L., Huang, H. H., Zhu, Y., & Hu, X. (2018). Merged Haptic Sensation in the Hand during Concurrent Non-Invasive Proximal Nerve Stimulation. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2018.8512707

Pan, L. Z., Crouch, D. L., & Huang, H. (2018). Myoelectric control based on a generic musculoskeletal model: Toward a multi-user neural-machine interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(7), 1435–1442. https://doi.org/10.1109/tnsre.2018.2838448

Diaz, J. P., da Silva, R. L., Zhong, B., Huang, H. H., & Lobaton, E. (2018). Visual Terrain Identification and Surface Inclination Estimation for Improving Human Locomotion with a Lower-Limb Prosthetic. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2018.8512614

Huang, S., & Huang, H. (2018). Voluntary control of residual antagonistic muscles in transtibial amputees: Feedforward ballistic contractions and implications for direct neural control of powered lower limb prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(4), 894–903. https://doi.org/10.1109/tnsre.2018.2811544

Wen, Y., Si, J., Gao, X., Huang, S., & Huang, H. (2017). A new powered lower limb prosthesis control framework based on adaptive dynamic programming. IEEE Transactions on Neural Networks and Learning Systems, 28(9), 2215–2220.

Agcayazi, T., McKnight, M., Sotory, P., Huang, H., Ghosh, T., & Bozkurt, A. (2017). A scalable shear and normal force sensor for prosthetic sensing. 2017 IEEE SENSORS. Presented at the 2017 IEEE SENSORS. https://doi.org/10.1109/icsens.2017.8233977

Liu, M., Zhang, F., & Huang, H. (2017). An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition. Sensors, 17(9), 2020. https://doi.org/10.3390/s17092020

Wen, Y., Brandt, A., Liu, M., Huang, H. H., & Si, J. (2017). Comparing parallel and sequential control parameter tuning for a powered knee prosthesis. 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Presented at the 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC). https://doi.org/10.1109/smc.2017.8122863

Chung, S. H., Crouch, D. L., & Huang, H. (2017). Effects of output speed threshold on real-time continuous EMG human-machine interface control. Ieee international conference on systems man and cybernetics conference, 1375–1380. https://doi.org/10.1109/smc.2017.8122805

Zhang, T., & Huang, H. (2017). Enhancing gait balance via a 4-DoFs wearable hip exoskeleton. 2017 International Symposium on Wearable Robotics and Rehabilitation (WEROB), 23–24. https://doi.org/10.1109/werob.2017.8383824

Brandt, A., Wen, Y., Liu, M., Stallings, J., & Huang, H. H. (2017). Interactions Between Transfemoral Amputees and a Powered Knee Prosthesis During Load Carriage. Scientific Reports, 7(1). https://doi.org/10.1038/S41598-017-14834-7

Pan, L., Crouch, D., & Huang, H. (2017). Musculoskeletal model for simultaneous and proportional control of 3-DOF hand and wrist movements from EMG signals. 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). Presented at the 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). https://doi.org/10.1109/ner.2017.8008356

Crouch, D. L., & Huang, H. (2017). Musculoskeletal model-based control interface mimics physiologic hand dynamics during path tracing task. Journal of Neural Engineering, 14(3). https://doi.org/10.1088/1741-2552/aa61bc

Zhang, T., Tran, M., & Huang, H. H. (2017). NREL-Exo: A 4-DoFs wearable hip exoskeleton for walking and balance assistance in locomotion. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Presented at the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/iros.2017.8202201

Zhang, F., Bohlen, P., Lewek, M. D., & Huang, H. (2017). Prediction of intrinsically caused tripping events in individuals with stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(8), 1202–1210. https://doi.org/10.1109/tnsre.2016.2614521

White, M. M., Zhang, W. J., Winslow, A. T., Zahabi, M., Zhang, F., Huang, H., & Kaber, D. B. (2017). Usability comparison of conventional direct control versus pattern recognition control of transradial prostheses. IEEE Transactions on Human-Machine Systems, 47(6), 1146–1157. https://doi.org/10.1109/thms.2017.2759762

Huang, H., Crouch, D. L., Liu, M., Sawicki, G. S., & Wang, D. (2016). A cyber expert system for auto-tuning powered prosthesis impedance control parameters. Annals of Biomedical Engineering, 44(5), 1613–1624. https://doi.org/10.1007/s10439-015-1464-7

Wen, Y., Liu, M., Si, J., & Huang, H. H. (2016). Adaptive control of powered transfemoral prostheses based on adaptive dynamic programming. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7591867

Zhang, W. J., White, M., Zahabi, M., Winslow, A. T., Zhang, F., Huang, H., & Kaber, D. (2016). Cognitive workload in conventional direct control vs. pattern recognition control of an upper-limb prosthesis. Ieee international conference on systems man and cybernetics conference, 2335–2340. https://doi.org/10.1109/smc.2016.7844587

Winslow, A. T., Brantley, J., Zhu, F., Vidal, J. L. C., & Huang, H. (2016). Corticomuscular coherence variation throughout the gait cycle during overground walking and ramp ascent: A preliminary investigation. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7591760

Liu, M., Wang, D., & Huang, H. (2016). Development of an environment-aware locomotion mode recognition system for powered lower limb prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(4), 434–443. https://doi.org/10.1109/tnsre.2015.2420539

Brandt, A., Liu, M., & Huang, H. H. (2016). Does the impedance of above-knee powered prostheses need to be adjusted for load-carrying conditions? 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7591868

Liu, M., Bohlen, P., & Huang, H. H. (2016). Effect of environmental factors on level of trip disturbance: A simulation study. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7591859

Crouch, D. L., & Huang, H. (2016). Lumped-parameter electromyogram-driven musculoskeletal hand model: A potential platform for real-time prosthesis control. Journal of Biomechanics, 49(16), 3901–3907. https://doi.org/10.1016/j.jbiomech.2016.10.035

Brantley, J. A., Luu, T. P., Ozdemir, R., Zhu, F., Winslow, A. T., Huang, H., & Contreras-Vidal, J. L. (2016). Noninvasive EEG correlates of overground and stair walking. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7592028

Crouch, D., & Huang, H. (2016). Simple EMG-driven musculoskeletal model enables consistent control performance during path tracing tasks. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7590625

Zhang, F., Liu, M., & Huang, H. (2016). Tolerance of neural decoding errors for powered artificial legs: A pilot study. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7591759

Zhang, X. R., & Huang, H. (2015). A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition. Journal of Neuroengineering and Rehabilitation, 12. https://doi.org/10.1186/s12984-015-0011-y

Yang, T., Wu, F., Liu, M., & Huang, H. (H. (2015). An Optimization-Based Approach for Prosthesis Dynamic Modeling and Parameter Identification. Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems. Presented at the ASME 2015 Dynamic Systems and Control Conference. https://doi.org/10.1115/dscc2015-9637

Zhang, F., Liu, M., & Huang, H. (2015). Detection of critical errors of locomotion mode recognition for volitional control of powered transfemoral prostheses. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2015.7318564

Zhang, F., Liu, M., & Huang, H. (2015). Effects of locomotion mode recognition errors on volitional control of powered above-knee prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(1), 64–72. https://doi.org/10.1109/tnsre.2014.2327230

Contreras-Vidal, J. L., Kilicarslan, A., Huang, H., & Grossman, R. G. (2015). Human-centered design of wearable neuroprostheses and exoskeletons. AI Magazine, 36(4), 12–22. https://doi.org/10.1609/aimag.v36i4.2613

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Crouch, D. L., & Huang, H. (2015). Musculoskeletal model predicts multi-joint wrist and hand movement from limited EMG control signals. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2015.7318565

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Zhang, F., & Huang, H. (2014). Practical implementation of robust sensor interface for EMG pattern recognition for artificial arm control. Presented at the International Conference on Advanced Limb Prosthetics, Fredericton, New Brunswick, Canada.

Zhang, F., & Huang, H. (2013). Decoding movement intent of patient with multiple sclerosis for the powered lower extremity exoskeleton. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2013.6610660

Hernandez, R., Yang, Q., Huang, H., Zhang, F., & Zhang, X. (2013). Design and implementation of a low power mobile CPU based embedded system for artificial leg control. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2013.6610862

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Du, L., Zhang, F., He, H., & Huang, H. (2013). Improving the performance of a neural-machine interface for prosthetic legs using adaptive pattern classifiers. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2013.6609814

Zhang, X., Huang, H., & Yang, Q. (2013). Real-time implementation of a self-recovery EMG pattern recognition interface for artificial arms. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2013.6610901

Zhang, F., & Huang, H. (2013). Source Selection for Real-Time User Intent Recognition Toward Volitional Control of Artificial Legs. IEEE Journal of Biomedical and Health Informatics, 17(5), 907–914. https://doi.org/10.1109/jbhi.2012.2236563

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