David J. Reinkensmeyer

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 14

Top Topics

Interaction Styles

Coronary Artery Bypass

Wearable Devices

Top Venues

Publications

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 (2024)
Shusuke Okita, Roman Yakunin, Jathin Korrapati, Mina Ibrahim, Diogo Schwerz de Lucena, Vicky Chan, David J. Reinkensmeyer
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) (2023)
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)
Diogo Schwerz de Lucena, Justin B. Rowe, Shusuke Okita, Vicky Chan, Steven C. Cramer, David J. Reinkensmeyer
Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial. Sensors 22 (18) (2022)
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) (2021)
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)
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)
Quentin Sanders, Shusuke Okita, Joan Lobo-Prat, Diogo Schwerz de Lucena, Brendan W. Smith, David J. Reinkensmeyer
Design and Control of a Novel Grip Amplifier to Support Pinch Grip with a Minimal Soft Hand Exoskeleton. BioRob (2018)
Joan Lobo-Prat, Gerard Moreso, Yinchu Dong, Christopher Lew, Nariman Sharifrazi, Shlomit Radom-Aizik, David J. Reinkensmeyer
Design and Preliminary Testing of MOVit: a Novel Exercise-Enabling Control Interface for Powered Wheelchair Users. BioRob (2018)
Yasemin Sarigul-Klijn, Joan Lobo-Prat, Brendan W. Smith, Sage Thayer, Daniel Zondervan, Vicky Chan, Oliver Stoller, David J. Reinkensmeyer
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)
Sumner L. Norman, Joan Lobo-Prat, David J. Reinkensmeyer
How do strength and coordination recovery interact after stroke? A computational model for informing robotic training. ICORR (2017)
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)
Eric T. Wolbrecht, Kyle J. Morse, Joel C. Perry, David J. Reinkensmeyer
Design of a thumb module for the FINGER rehabilitation robot. EMBC (2016)
Hossein Taheri, David J. Reinkensmeyer, Eric T. Wolbrecht
Model-based assistance-as-needed for robotic movement therapy after stroke. EMBC (2016)
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)
Albert Sans-Muntadas, Jaime E. Duarte, David J. Reinkensmeyer
Robot-assisted motor training: Assistance decreases exploration during reinforcement learning. EMBC (2014)
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) (2014)
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)
Nizan Friedman, David J. Reinkensmeyer, Mark Bachman
Universal Access to Participatory Musical Experiences for People with Disabilities. HCI (6) (2013)
Jaime E. Duarte, Berkenesh Gebrekristos, Sergi Perez, Justin B. Rowe, Kelli Sharp, David J. Reinkensmeyer
Effort, performance, and motivation: Insights from robot-assisted training of human golf putting and rat grip strength. ICORR (2013)
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)
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)
Angela Colantonio, George Demiris, Maja J. Mataric, Todd A. Kuiken, David J. Reinkensmeyer
Keynote speakers: Community integration: Relevance for robotics. ICORR (2013)
Yimesker Yihun, Robert Miklos, Alba Perez Gracia, David J. Reinkensmeyer, Keith Denney, Eric T. Wolbrecht
Single Degree-of-Freedom Exoskeleton Mechanism Design for Thumb Rehabilitation. EMBC (2012)
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 (2012)
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)
Riccardo Secoli, Daniel Zondervan, David J. Reinkensmeyer
Using a Smart Wheelchair as a Gaming Device for Floor-Projected Games: A Mixed-Reality Environment for Training Powered-Wheelchair Driving Skills. MMVR (2012)
James Allington, Steven J. Spencer, Julius Klein, Meghan Buell, David J. Reinkensmeyer, James E. Bobrow
Supinator extender (SUE): A pneumatically actuated robot for forearm/wrist rehabilitation after stroke. EMBC (2011)
Sergi Perez, Raul Benitez, David J. Reinkensmeyer
Smart calibration for video game play by people with a movement impairment. EMBC (2011)
Nizan Friedman, David J. Reinkensmeyer, Mark Bachman
A Real-Time Interactive MIDI Glove for Domicile Stroke Rehabilitation. HCI (4) (2011)
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)
Christine E. King, Po T. Wang, Masato Mizuta, David J. Reinkensmeyer, An H. Do, Shunji Moromugi, Zoran Nenadic
Noninvasive brain-computer interface driven hand orthosis. EMBC (2011)
Julius Klein, Steven J. Spencer, James Allington, James E. Bobrow, David J. Reinkensmeyer
Optimization of a Parallel Shoulder Mechanism to Achieve a High-Force, Low-Mass, Robotic-Arm Exoskeleton. IEEE Trans. Robotics 26 (4) (2010)
Eric T. Wolbrecht, David J. Reinkensmeyer, James E. Bobrow
Pneumatic Control of Robots for Rehabilitation. Int. J. Robotics Res. 29 (1) (2010)
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)
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) (2008)
Luis Enrique Sucar, Gildardo Azcárate, Ron S. Leder, David J. Reinkensmeyer, Jorge Hernández, Israel Sanchez, Pedro Saucedo
Gesture Therapy: A Vision-Based System for Arm Rehabilitation after Stroke. BIOSTEC (Selected Papers) (2008)
Jeremy L. Emken, John H. Wynne, Susan J. Harkema, David J. Reinkensmeyer
A robotic device for manipulating human stepping. IEEE Trans. Robotics 22 (1) (2006)
Eric T. Wolbrecht, John Leavitt, David J. Reinkensmeyer, James E. Bobrow
Control of a Pneumatic Orthosis for Upper Extremity Stroke Rehabilitation. EMBC (2006)
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) (2003)
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) (2003)
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) (2001)
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)
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)
David J. Reinkensmeyer, Peter S. Lum, Steven L. Lehman
Human control of a simple two-hand grasp. Biol. Cybern. 67 (6) (1992)
Christopher G. Atkeson, David J. Reinkensmeyer
Using associative content-addressable memories to control robots. ICRA (1989)
Eric W. Aboaf, Christopher G. Atkeson, David J. Reinkensmeyer
Task-level robot learning. ICRA (1988)