@article {sciro_brown2023,
	title = {Touching reality: Bridging the user-researcher divide in upper-limb prosthetics},
	journal = {Science Robotics},
	volume = {8},
	number = {83},
	year = {2023},
	pages = {eadk9421},
	abstract = {<p>Realistically improving upper-limb prostheses is only possible if we listen to users{\textquoteright} actual technological needs. Realistically improving upper-limb prostheses is only possible if we listen to users{\textquoteright} actual technological needs.</p>},
	doi = {10.1126/scirobotics.adk9421},
	url = {https://www.science.org/doi/abs/10.1126/scirobotics.adk9421},
	attachments = {https://mahilab.rice.edu/sites/default/files/publications/SciRoboticsBrown2023_prosthesis_users.pdf},
	author = {J. D. Brown and E. Battaglia and S. Engdahl and G. Levay and A. C. Parks and E. Skinner and M. K. O{\textquoteright}Malley}
}
@article {9031340,
	title = {A Myoelectric Control Interface for Upper-Limb Robotic Rehabilitation Following Spinal Cord Injury},
	journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
	volume = {28},
	number = {4},
	year = {2020},
	month = {April},
	pages = {978-987},
	abstract = {<p>Spinal cord injury (SCI) is a widespread, life-altering injury leading to impairment of sensorimotor function that, while once thought to be permanent, is now being treated with the hope of one day being able to restore function. Surface electromyography (EMG) presents an opportunity to examine and promote human engagement at the neuromuscular level, enabling new protocols for intervention that could be combined with robotic rehabilitation, particularly when robot motion or force sensing may be unusable due to the user{\textquoteright}s impairment. In this paper, a myoelectric control interface to an exoskeleton for the elbow and wrist was evaluated on a population of ten able-bodied participants and four individuals with cervical-level SCI. The ability of an EMG classifier to discern intended direction of motion in single-degree-of-freedom (DoF) and multi-DoF control modes was assessed for usability in a therapy-like setting. The classifier demonstrated high accuracy for able-bodied participants (averages over 99\% for single-DoF and near 90\% for multi-DoF), and performance in the SCI group was promising, warranting further study (averages ranging from 85\% to 95\% for single-DoF, and variable multi-DoF performance averaging around 60\%). These results are encouraging for the future use of myoelectric interfaces in robotic rehabilitation for SCI.</p>},
	keywords = {Electromyography, injuries, Muscles, myoelectric control, pattern recognition, Rehabilitation robotics, Robot kinematics, Robot sensing systems, spinal cord injury, Wrist},
	issn = {1558-0210},
	doi = {10.1109/TNSRE.2020.2979743},
	attachments = {https://mahilab.rice.edu/sites/default/files/publications/TNSRE_2020_McDonald.pdf},
	author = {C. G. McDonald and J. L. Sullivan and T. A. Dennis and M. K. O{\textquoteright}Malley}
}
@proceedings {1982,
	title = {Spatially Separated Cutaneous Haptic Guidance for Training of a Virtual Sensorimotor Task},
	year = {2020},
	attachments = {https://mahilab.rice.edu/sites/default/files/publications/IEEE_HS_2020_Smith_OpenWrist_CUFF_Training__shared__compressed.pdf},
	author = {C. Smith and E. Pezent and M. K. O{\textquoteright}Malley}
}
@proceedings {1948,
	title = {The Influence of Cue Presentation Velocity on Skin Stretch Perception},
	year = {2019},
	month = {July},
	keywords = {cue perceptibility, cue perception, haptic cues, Haptic interfaces, just noticeable difference, Likert surveys, method of constant stimuli, rice haptic rocker, rotational velocities, Skin, skin stretch cue presentation velocity, skin stretch cues, skin stretch perception, wearable haptic devices},
	doi = {10.1109/WHC.2019.8816120},
	attachments = {https://mahilab.rice.edu/sites/default/files/publications/Kim_2019_WorldHaptics_SkinStretchCueVelocity.pdf},
	author = {S. Y. Kim and J. P. Clark and P. Kortum and M. K. O{\textquoteright}Malley}
}
@article {8305478,
	title = {Reflection on System Dynamics Principles Improves Student Performance in Haptic Paddle Labs},
	journal = {IEEE Transactions on Education},
	volume = {61},
	number = {3},
	year = {2018},
	month = {08/2018},
	pages = {245-252},
	keywords = {abstract conceptualization, CE, computer aided instruction, concrete experience, educational courses, haptic devices, Haptic interfaces, haptics, lab report grades, laboratory, laboratory exercises, learning cycle, learning outcomes, low-cost educational tools, Mechanical engineering, mechanical engineering computing, mechanical engineering curricula, mechanical engineering curriculum, Mechatronics, mechatronics content, multiple student GPA quartiles, Performance evaluation, reflection, reflection phase, reflective curriculum, reflective observation, standard haptic paddle lab curriculum, standard nonreflective curriculum, Standards, student performance improvement, System dynamics, system dynamics principles, Tools, undergraduate, virtual environment rendering},
	issn = {0018-9359},
	doi = {10.1109/TE.2018.2804327},
	attachments = {https://mahilab.rice.edu/sites/default/files/publications/Rose2018ieee-reflection.pdf},
	author = {C. G. Rose and C. G. McDonald and J. P. Clark and M. K. O{\textquoteright}Malley}
}
