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Taesin Ha

dblp:34/5536 · 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
Wearable and physiological sensing · 50% Health and well-being technologies · 25% Human-robot interaction · 25%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › wearable robot
exoskeleton
0.212016
Fully autonomous hip exoskeleton saves metabolic cost of walking · ICRA 2016
Wearable and physiological sensing
gait analysis
0.212016
Fully autonomous hip exoskeleton saves metabolic cost of walking · ICRA 2016
Wearable and physiological sensing › gait analysis
gait phase estimation
0.212016
Fully autonomous hip exoskeleton saves metabolic cost of walking · ICRA 2016
Health and well-being technologies › rehabilitation technology
rehabilitation robotics
0.212016
Fully autonomous hip exoskeleton saves metabolic cost of walking · ICRA 2016

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

metabolic cost analysis · 0.2adaptive control · 0.2
YearPublicationVenuePosition
2016 Fully autonomous hip exoskeleton saves metabolic cost of walking
abstract
We have developed a hip exoskeleton for seniors with difficulties in walking due to muscle weakness. The exoskeleton is lightweight and moderate in assistance power compared to other hip exoskeletons in the literature. Its controller estimates user gait phase, walking speed, and ground inclinations to generate assistance torque adaptively. To assess the physiological effect of the gait assistance, we compared metabolic energy consumption for 5 adults for walking on a treadmill with and without the exoskeleton at the same speed: the exoskeleton reduced metabolic cost of walking by 13% (p = 0:0024). The step length and the stride time increased under the assistance. Our analysis for the result suggests that the efficiency of hip exoskeletons on saving metabolic energy can be twice as high as that of ankle exoskeletons possibly because muscle-tendon unit in the hip joint is less energy-efficient than in the ankle joint.
Keehong Seo, Jusuk Lee, Younbaek Lee, Taesin Ha, Youngbo Shim 0001
ICRA4