@conference {497,
	title = {Dynamic Finger Task Identification Using Electromyography},
	booktitle = {IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)},
	year = {2022},
	author = {Paria Esmatloo and Keya Ghonasgi and Raymond King and Ashish D. Deshpande}
}
@conference {498,
	title = {Human-Robot Interaction: Muscle Activation and Angular Location Affect Soft Tissue Stiffness},
	booktitle = {IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)},
	year = {2022},
	author = {Saad N. Yousaf and Keya Ghonasgi and Paria Esmatloo and Ashish D. Deshpande}
}
@conference {467,
	title = {An Actuated Indenter for Characterization of Soft Tissue Towards Human-Centered Design},
	booktitle = { IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
	year = {2021},
	author = {Saad N. Yousaf and Keya Ghonasgi and Paria Esmatloo and Ashish D. Deshpande}
}
@conference {468,
	title = {An Anthropomorphic Passive Instrumented Hand for Validating Wearable Robotic Systems},
	booktitle = {IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
	year = {2021},
	author = {Avinash Baskaran and Paria Esmatloo and Matthew Times and Ashish Deshpande and Chad G. Rose}
}
@conference {478,
	title = {The Effects of EMG-Based Classification and Robot Control Method on User{\textquoteright}s Neuromuscular Effort during Real-Time Assistive Hand Exoskeleton Operation},
	booktitle = { International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
	year = {2021},
	abstract = {<p>EMG-based intention recognition and assistive device control are often developed separately, which can lead to the unintended consequence of requiring excessive muscular effort and fatigue during operation.\&nbsp;In this paper, we address two important aspects of the performance of an integrated EMG-based assistive system. Firstly, we investigate the effects of muscular effort on EMG-based classification and robot control. Secondly, we propose a robot control solution that reduces muscular effort required in assisted dynamic daily tasks compared to the state-of-the-art control methods.</p>
},
	author = {Paria Esmatloo and Ashish Deshpande}
}
@article {448,
	title = {Improvement of Hand Functions of SCI Patients with EMG-driven Hand Exoskeleton: a Feasibility Study},
	journal = {Wearable Technologies},
	year = {2021},
	abstract = {<p>We have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from a practical EMG control strategy conducted with spinal cord injury (SCI) patients (C5, C6 and C7) in which the subjects completed daily tasks controlling Maestro with electromyography (EMG) signals from their forearm muscles. With its compliant actuation and its degrees of freedom (DOF) that match the natural finger movements, Maestro is capable of helping the subjects grasp and manipulate a variety of daily objects (more than 15 from a standardized set). To generate control commands for Maestro, an artificial neural network algorithm was implemented along with a probabilistic control approach to classify and deliver four hand poses robustly with three EMG signals measured from the forearm and palm. Increase in the scores of a standardized test, called the Sollerman hand function test (SHFT), and enhancement in different aspects of grasping such as strength shows feasibility that Maestro can be capable of improving the hand function of SCI subjects.</p>
},
	author = {Youngmok Yun and Youngjin Na and Paria Esmatloo and Sarah Dancausse and Alfredo Serrato and Curtis A. Merring and Priyanshu Agarwal and Ashish D. Deshpande}
}
@conference {466,
	title = {A Method for the Analysis of Physical Human Robot Interaction},
	booktitle = { IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
	year = {2021},
	author = {Saad N. Yousaf and Paria Esmatloo and Keya Ghonasgi and Ashish D. Deshpande}
}
@article {455,
	title = {A Modular Design for Distributed Measurement of Human-Robot Interaction Forces in Wearable Devices},
	journal = {Sensors},
	year = {2021},
	author = {Keya Ghonasgi and Saad N. Yousaf and Paria Esmatloo and Ashish D. Deshpande}
}
@conference {449,
	title = {Design and Validation of a Sensorized Physical Human-Robot Interface for Distributed Force Measurement},
	booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Ergonomic Human-Robot Collaboration: Opportunities and Challenges},
	year = {2020},
	author = {Keya Ghonasgi and Saad N. Yousaf and Paria Esmatloo and Ruth Heckler and Job Ramirez and Chad G. Rose and Ashish D. Deshpande}
}
@conference {428,
	title = {Fingertip Position and Force Control for Dexterous Manipulation through Model-Based Control of Hand-Exoskeleton-Environment},
	booktitle = {IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (AIM 2020). },
	year = {2020},
	author = {Paria Esmatloo and Ashish D. Deshpande}
}
@conference {319,
	title = {An EMG-Driven Assistive Hand Exoskeleton for Spinal Cord Injury Patients: Maestro},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2017},
	author = {Youngmok Yun and Sarah Dancausse and Paria Esmatloo and Alfredo Serrato and Curtis A. Merring and Ashish D. Deshpande}
}
@conference {334,
	title = {Methodologies for determining minimal grasping requirements and sensor locations for sEMG-based assistive hand orthosis for SCI patients},
	booktitle = {IEEE International Conference of Rehabilitation Robotics (ICORR)},
	year = {2017},
	author = {Youngmok Yun and Paria Esmatloo and Alfredo Serrato and Curtis A. Merring and Ashish D. Deshpande}
}
