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Joshua D. Fajardo

dblp:304/5324 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

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
1 paper
Haptics and multimodal interaction · 87% Accessibility and assistive technology · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic device control
grasp force control
0.512021
Kinesthetic feedback improves grasp performance in cable-driven prostheses · ICRA 2021
Haptics and multimodal interaction › haptic feedback
kinesthetic feedback
0.512021
Kinesthetic feedback improves grasp performance in cable-driven prostheses · ICRA 2021
Accessibility and assistive technology › assistive technology
prosthetic limb
0.112021
Kinesthetic feedback improves grasp performance in cable-driven prostheses · ICRA 2021

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

user study · 0.5
YearPublicationVenuePosition
2021 Kinesthetic feedback improves grasp performance in cable-driven prostheses
abstract
Despite significant progress in the realm of upper-limb prosthetic design, end-users still abandon modern myoelectric prostheses, with haptic feedback listed as a primary need. The passive scheme of cable-driven body-powered prostheses provides kinesthetic sensory information to the user but can also lead to discomfort and fatigue due to the large loads applied to the body during operation. In order to investigate the role of this kinesthetic feedback on grasp force control, we design a body-powered prosthesis emulator capable of varying the amount of displayed force feedback along a continuous scale. Using this experimental test bed, we collect data from 9 participants while they perform a grasp and lift task. Analysis shows that, with increasing amounts of force feedback, people produce lower and steadier grasp forces but also become more prone to dropping held objects. These results suggest that the use of moderate amounts of feedback provides significant grasp performance benefits while also mitigating some of the shortcomings of cable-driven prostheses. These findings support the continued study of the incorporation of kinesthetic feedback into novel prosthetic designs.
Michael E. Abbott, Joshua D. Fajardo, Hou Woei Lim, Hannah Stuart
ICRA2