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James C. H. Goh

dblp:164/8369 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 49% Health and well-being technologies · 20% Wearable and physiological sensing · 16%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.522016
A fabric-regulated soft robotic glove with user intent detection using EMG and RFID for hand assistive application · ICRA 2016
A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness · ICRA 2015
Health and well-being technologies › rehabilitation technology
soft robotic glove
0.212016
A fabric-regulated soft robotic glove with user intent detection using EMG and RFID for hand assistive application · ICRA 2016
Accessibility and assistive technology
soft exoskeleton
0.212015
A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness · ICRA 2015
Human-robot interaction
wearable robot
0.212015
A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness · ICRA 2015
Human-robot interaction
physical human-robot interaction
0.112016
A fabric-regulated soft robotic glove with user intent detection using EMG and RFID for hand assistive application · ICRA 2016
Health and well-being technologies › rehabilitation technology
rehabilitation robotics
0.112015
A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness · ICRA 2015

Methods — techniques the papers use, named apart from their topics

pneumatic actuation · 0.5surface electromyography · 0.2radio-frequency identification · 0.2variable stiffness actuation · 0.2
YearPublicationVenuePosition
2016 A fabric-regulated soft robotic glove with user intent detection using EMG and RFID for hand assistive application
abstract
This paper presents a soft robotic glove designed to assist individuals with functional grasp pathologies in performing activities of daily living. The glove utilizes soft fabric-regulated pneumatic actuators that are low-profile and require lower pressure than previously developed actuators. They are able to support fingers and thumb motions during hand closure. Upon pressurization, the actuators are able to generate sufficient force to assist in hand closing and grasping during different manipulation tasks. In this work, experiments were conducted to evaluate the performances of the actuators as well as the glove in terms of its kinetic and kinematic assistance on a healthy participant. Additionally, surface electromyography and radio-frequency identification techniques were adopted to detect user intent to activate or deactivate the glove. Lastly, we present preliminary results of a healthy participant performing different manipulation tasks with the soft robotic glove controlled by surface electromyography and radio-frequency identification techniques.
Hong Kai Yap, Benjamin Wee Keong Ang, Jeong Hoon Lim, James C. H. Goh, Raye C. H. Yeow
ICRA4
2015 A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness
abstract
In this paper, we present the design of a soft wearable exoskeleton that comprises of a glove embedded with pneumatic actuators of variable stiffness for hand assistive and rehabilitation application. The device is lightweight and easily wearable due to the usage of soft pneumatic actuators. A key feature of the device is the variable stiffness of the actuators at different localities that not only conform to the finger profile during actuation, but also provides customizability for different hand dimensions. The actuators can achieve different bending profiles with variable stiffness implemented at different localities. Therefore, the device is able to perform different hand therapy exercises such as full fist, straight fist, hook fist and table top. The device was characterized in terms of its range of motion and maximum force output. Experiments were conducted to examine the differences between active and passive actuation. The results showed that the device could achieve hand grasping and pinching with acceptable range of motion and force.
Hong Kai Yap, Jeong Hoon Lim, Fatima A. Nasrallah, James C. H. Goh, Raye C. H. Yeow
ICRA4