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Ko Wakita

dblp:167/4309 · DBLP profile ↗
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1ranked-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 · 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
Human-robot interaction · 44% Accessibility and assistive technology · 44% Haptics and multimodal interaction · 13%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.212016
Investigation of a cognitive strain on hand grasping induced by sensory feedback for myoelectric hand · ICRA 2016
Accessibility and assistive technology › assistive technology
myoelectric prosthesis
0.212016
Investigation of a cognitive strain on hand grasping induced by sensory feedback for myoelectric hand · ICRA 2016
Haptics and multimodal interaction
sensory feedback
0.112016
Investigation of a cognitive strain on hand grasping induced by sensory feedback for myoelectric hand · ICRA 2016

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

dual-task method · 0.2
YearPublicationVenuePosition
2016 Investigation of a cognitive strain on hand grasping induced by sensory feedback for myoelectric hand
abstract
The purpose of this study is to investigate how sensory feedback affects the cognitive strain of grasping using a prosthesis and to develop an efficient method for decreasing the cognitive strain of grasping. We divided a grasping action into two phases, an “approaching phase” and a “grasping phase”, and assumed that the tactile feedback affect for the cognitive strain induced by grasping phase and the deep sensory feedback affect for cognitive strain induced by approaching phase. Using dual-task method, we compared the effect of sensory feedback method using strength-changed simulator or using spatially changed stimulators. As a result, we concluded that the sensory feedback can decrease the cognitive strain of grasping action, and the sensory feedback from one strength-changed stimulator is better than the one from spatially changed stimulators to decrease a cognitive strain caused by grasping action.
Yusuke Yamanoi, Ko Wakita, Ryu Kato
ICRA3