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David J. Reinkensmeyer
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2020 – today
- 2024
- [j14]Guillem Cornella-Barba
, Shusuke Okita
Real-Time Sensing of Upper Extremity Movement Diversity Using Kurtosis Implemented on a Smartwatch. Sensors 24(16): 5266 (2024) - [i1]Christopher A. Johnson, Piyashi Biswas, Rubi Tapia, Jill See, Lucy Dodakian, Vicky Chan, Po T. Wang, Zoran Nenadic, An H. Do, David J. Reinkensmeyer:
The weak relationship between ankle proprioception and gait speed after stroke a robotic assessment study. CoRR abs/2402.11110 (2024) - 2023
- [j13]Shusuke Okita
Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications. Sensors 23(12): 5690 (2023) - [c33]Christopher A. Johnson, Dylan S. Reinsdorf, David J. Reinkensmeyer, Andria J. Farrens:
Robotically quantifying finger and ankle proprioception: Role of range, speed, anticipatory errors, and learning. EMBC 2023: 1-5 - 2022
- [j12]Diogo Schwerz de Lucena, Justin B. Rowe, Shusuke Okita
Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial. Sensors 22(18): 6938 (2022) - 2021
- [j11]Diogo Schwerz de Lucena, Justin B. Rowe, Vicky Chan, David J. Reinkensmeyer
Magnetically Counting Hand Movements: Validation of a Calibration-Free Algorithm and Application to Testing the Threshold Hypothesis of Real-World Hand Use after Stroke. Sensors 21(4): 1502 (2021) - [c32]Shusuke Okita, Diogo Schwerz de Lucena, Vicky Chan, David J. Reinkensmeyer:
Measuring Movement Quality of the Stroke-Impaired Upper Extremity with a Wearable Sensor: Toward a Smoothness Metric for Home Rehabilitation Exercise Programs. EMBC 2021: 6691-6694 - [c31]Dylan S. Reinsdorf, Erin E. Mahan, David J. Reinkensmeyer:
Proprioceptive Gaming: Making Finger Sensation Training Intense and Engaging with the P-Pong Game and PINKIE Robot. EMBC 2021: 6715-6720
2010 – 2019
- 2018
- [c30]Joan Lobo-Prat
Design and Preliminary Testing of MOVit: a Novel Exercise-Enabling Control Interface for Powered Wheelchair Users. BioRob 2018: 372-377 - [c29]Quentin Sanders, Shusuke Okita, Joan Lobo-Prat
Design and Control of a Novel Grip Amplifier to Support Pinch Grip with a Minimal Soft Hand Exoskeleton. BioRob 2018: 1089-1094 - 2017
- [c28]Yasemin Sarigul-Klijn, Joan Lobo-Prat
There is plenty of room for motor learning at the bottom of the Fugl-Meyer: Acquisition of a novel bimanual wheelchair skill after chronic stroke using an unmasking technology. ICORR 2017: 50-55 - [c27]Sumner L. Norman, Joan Lobo-Prat
How do strength and coordination recovery interact after stroke? A computational model for informing robotic training. ICORR 2017: 181-186 - [c26]Diogo S. de Lucena, Oliver Stoller, Justin B. Rowe, Vicky Chan, David J. Reinkensmeyer:
Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery. ICORR 2017: 1603-1608 - 2016
- [c25]Eric T. Wolbrecht
Design of a thumb module for the FINGER rehabilitation robot. EMBC 2016: 582-585 - [c24]Hossein Taheri, David J. Reinkensmeyer, Eric T. Wolbrecht
Model-based assistance-as-needed for robotic movement therapy after stroke. EMBC 2016: 2124-2127 - [p2]H. F. Machiel Van der Loos, David J. Reinkensmeyer, Eugenio Guglielmelli:
Rehabilitation and Health Care Robotics. Springer Handbook of Robotics, 2nd Ed. 2016: 1685-1728 - 2014
- [j10]Nizan Friedman, Justin B. Rowe, David J. Reinkensmeyer, Mark Bachman:
The Manumeter: A Wearable Device for Monitoring Daily Use of the Wrist and Fingers. IEEE J. Biomed. Health Informatics 18(6): 1804-1812 (2014) - [c23]Albert Sans-Muntadas, Jaime E. Duarte
Robot-assisted motor training: Assistance decreases exploration during reinforcement learning. EMBC 2014: 3516-3520 - [c22]Justin B. Rowe, Nizan Friedman, Vicky Chan, Steven C. Cramer, Mark Bachman, David J. Reinkensmeyer:
The variable relationship between arm and hand use: A rationale for using finger magnetometry to complement wrist accelerometry when measuring daily use of the upper extremity. EMBC 2014: 4087-4090 - [c21]Brendan W. Smith, Daniel K. Zondervan, Thomas J. Lord, Vicky Chan, David J. Reinkensmeyer:
Feasibility of a bimanual, lever-driven wheelchair for people with severe arm impairment after stroke. EMBC 2014: 5292-5295 - 2013
- [c20]Nizan Friedman, David J. Reinkensmeyer, Mark Bachman:
Universal Access to Participatory Musical Experiences for People with Disabilities. HCI (6) 2013: 484-489 - [c19]Angela Colantonio, George Demiris, Maja J. Mataric, Todd A. Kuiken, David J. Reinkensmeyer:
Keynote speakers: Community integration: Relevance for robotics. ICORR 2013: 1-2 - [c18]Jaime E. Duarte
Effort, performance, and motivation: Insights from robot-assisted training of human golf putting and rat grip strength. ICORR 2013: 1-6 - [c17]Justin B. Rowe, Nizan Friedman, Mark Bachman, David J. Reinkensmeyer:
The Manumeter: A non-obtrusive wearable device for monitoring spontaneous use of the wrist and fingers. ICORR 2013: 1-6 - [c16]Daniel K. Zondervan, Brendan W. Smith, David J. Reinkensmeyer:
Lever-actuated resonance assistance (LARA): A wheelchair-based method for upper extremity therapy and overground ambulation for people with severe arm impairment. ICORR 2013: 1-6 - 2012
- [j9]David J. Reinkensmeyer, Emmanuel Guigon, Marc A. Maier:
A computational model of use-dependent motor recovery following a stroke: Optimizing corticospinal activations via reinforcement learning can explain residual capacity and other strength recovery dynamics. Neural Networks 29: 60-69 (2012) - [c15]Yimesker Yihun, Robert Miklos, Alba Perez Gracia
Single Degree-of-Freedom Exoskeleton Mechanism Design for Thumb Rehabilitation. EMBC 2012: 1916-1920 - [c14]Hossein Taheri, Justin B. Rowe, David Gardner, Vicky Chan, David J. Reinkensmeyer, Eric T. Wolbrecht
Robot-assisted Guitar Hero for finger rehabilitation after stroke. EMBC 2012: 3911-3917 - [c13]Riccardo Secoli
Using a Smart Wheelchair as a Gaming Device for Floor-Projected Games: A Mixed-Reality Environment for Training Powered-Wheelchair Driving Skills. MMVR 2012: 450-456 - 2011
- [c12]James Allington, Steven J. Spencer
Supinator extender (SUE): A pneumatically actuated robot for forearm/wrist rehabilitation after stroke. EMBC 2011: 1579-1582 - [c11]Nizan Friedman, Vicky Chan, Danny Zondervan, Mark Bachman, David J. Reinkensmeyer:
MusicGlove: Motivating and quantifying hand movement rehabilitation by using functional grips to play music. EMBC 2011: 2359-2363 - [c10]Christine E. King, Po T. Wang
Noninvasive brain-computer interface driven hand orthosis. EMBC 2011: 5786-5789 - [c9]Sergi Perez, Raul Benitez
Smart calibration for video game play by people with a movement impairment. EMBC 2011: 6741-6744 - [c8]Nizan Friedman, David J. Reinkensmeyer, Mark Bachman:
A Real-Time Interactive MIDI Glove for Domicile Stroke Rehabilitation. HCI (4) 2011: 151-158 - 2010
- [j8]Eric T. Wolbrecht
Pneumatic Control of Robots for Rehabilitation. Int. J. Robotics Res. 29(1): 23-38 (2010) - [j7]Julius Klein, Steven J. Spencer
Optimization of a Parallel Shoulder Mechanism to Achieve a High-Force, Low-Mass, Robotic-Arm Exoskeleton. IEEE Trans. Robotics 26(4): 710-715 (2010)
2000 – 2009
- 2008
- [j6]Jeremy L. Emken, Susan J. Harkema, Janell A. Beres-Jones, Christie K. Ferreira, David J. Reinkensmeyer:
Feasibility of Manual Teach-and-Replay and Continuous Impedance Shaping for Robotic Locomotor Training Following Spinal Cord Injury. IEEE Trans. Biomed. Eng. 55(1): 322-334 (2008) - [c7]Luis Enrique Sucar, Ron S. Leder, David J. Reinkensmeyer, Jorge Hernández, Gildardo Azcárate, Nallely Casteñeda, Pedro Saucedo:
Gesture Therapy - A Low-Cost Vision-Based System for Rehabilitation after Stroke. HEALTHINF (2) 2008: 107-111 - [c6]Luis Enrique Sucar
Gesture Therapy: A Vision-Based System for Arm Rehabilitation after Stroke. BIOSTEC (Selected Papers) 2008: 531-540 - [p1]H. F. Machiel Van der Loos, David J. Reinkensmeyer:
Rehabilitation and Health Care Robotics. Springer Handbook of Robotics 2008: 1223-1251 - 2006
- [j5]Jeremy L. Emken, John H. Wynne, Susan J. Harkema, David J. Reinkensmeyer:
A robotic device for manipulating human stepping. IEEE Trans. Robotics 22(1): 185-189 (2006) - [c5]Eric T. Wolbrecht
Control of a Pneumatic Orthosis for Upper Extremity Stroke Rehabilitation. EMBC 2006: 2687-2693 - 2003
- [j4]David J. Reinkensmeyer, Mario G. Iobbi, Leonard E. Kahn, Derek G. Kamper, Craig D. Takahashi:
Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability. Neural Comput. 15(11): 2619-2642 (2003) - [j3]Wojciech K. Timoszyk, Ray D. de Leon, N. London, R. Joynes, K. Minakata, Roland R. Roy, V. Reggie Edgerton, David J. Reinkensmeyer:
Comparison of virtual and physical treadmill environments for training stepping after spinal cord injury. Robotica 21(1): 25-32 (2003) - 2001
- [j2]David J. Reinkensmeyer, Craig D. Takahashi, Wojciech K. Timoszyk, Andrea N. Reinkensmeyer, Leonard E. Kahn:
Design of robot assistance for arm movement therapy following stroke. Adv. Robotics 14(7): 625-637 (2001) - [c4]Chia-Yu E. Wang, James E. Bobrow, David J. Reinkensmeyer:
Swinging From The Hip: Use of Dynamic Motion Optimization in the Design of Robotic Gait Rehabilitation. ICRA 2001: 1433-1438 - 2000
- [c3]David J. Reinkensmeyer, Wojciech K. Timoszyk, Ray D. de Leon, R. Joynes, Eugene Kwak, K. Minakata, V. Reggie Edgerton:
A Robotic Stepper for Retraining Locomotion in Spinal-Injured Rodents. ICRA 2000: 2889-2894
1990 – 1999
- 1992
- [j1]David J. Reinkensmeyer, Peter S. Lum, Steven L. Lehman:
Human control of a simple two-hand grasp. Biol. Cybern. 67(6): 553-564 (1992)
1980 – 1989
- 1989
- [c2]Christopher G. Atkeson, David J. Reinkensmeyer:
Using associative content-addressable memories to control robots. ICRA 1989: 1859-1864 - 1988
- [c1]Eric W. Aboaf, Christopher G. Atkeson, David J. Reinkensmeyer:
Task-level robot learning. ICRA 1988: 1309-1310
Coauthor Index
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last updated on 2024-10-04 20:59 CEST by the dblp team
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