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Manoj Liyanage

dblp:74/6760 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

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

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
Accessibility and assistive technology · 100%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › assistive technology
assistive exoskeleton
0.112008
A study of a 4DOF upper-limb power-assist intelligent exoskeleton with visual information for perception-assist · ICRA 2008
Accessibility and assistive technology
assistive technology
0.112008
A study of a 4DOF upper-limb power-assist intelligent exoskeleton with visual information for perception-assist · ICRA 2008
Computer vision › 3D vision
motion editing
0.012008
A study of a 4DOF upper-limb power-assist intelligent exoskeleton with visual information for perception-assist · ICRA 2008

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

stereo vision · 0.2
YearPublicationVenuePosition
2008 A study of a 4DOF upper-limb power-assist intelligent exoskeleton with visual information for perception-assist
abstract
This paper presents a concept of an upper-limb power assist intelligent exoskeleton with visual information as a second stage of the research on power-assist exoskeleton systems in order to help daily activities of physically weak persons. The proposed exoskeleton assists not only the motion of the user but also the perception of the user using sensors and a stereo camera. In the proposed power-assist method, the assisted user’s motion can be modified based on the environmental information obtained by the sensors and the camera if problems are found in the user’s motion. The effectiveness of the proposed intelligent exoskeleton was evaluated by experiments.
Kazuo Kiguchi, Manoj Liyanage
ICRA2