Demo Data from SIGIR 2026 / reviewers in the wild / expert
Taesin Ha
dblp:34/5536
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › wearable robot
exoskeleton |
0.2 | 1 | 2016 | Fully autonomous hip exoskeleton saves metabolic cost of walking · ICRA 2016 |
Wearable and physiological sensing
gait analysis |
0.2 | 1 | 2016 | Fully autonomous hip exoskeleton saves metabolic cost of walking · ICRA 2016 |
Wearable and physiological sensing › gait analysis
gait phase estimation |
0.2 | 1 | 2016 | Fully autonomous hip exoskeleton saves metabolic cost of walking · ICRA 2016 |
Health and well-being technologies › rehabilitation technology
rehabilitation robotics |
0.2 | 1 | 2016 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Fully autonomous hip exoskeleton saves metabolic cost of walkingabstractWe 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 |
ICRA | 4 |