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Richard W. Nuckols

dblp:274/9643 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 33% Accessibility and assistive technology · 33% Human-robot interaction · 33%

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

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology
assistive technology
0.412020
Automated detection of soleus concentric contraction in variable gait conditions for improved exosuit control · ICRA 2020
Human-robot interaction › wearable robot
exosuit control
0.412020
Automated detection of soleus concentric contraction in variable gait conditions for improved exosuit control · ICRA 2020
Wearable and physiological sensing
muscle activity sensing
0.412020
Automated detection of soleus concentric contraction in variable gait conditions for improved exosuit control · ICRA 2020

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

optical flow · 0.4gait cycle segmentation · 0.4
YearPublicationVenuePosition
2020 Automated detection of soleus concentric contraction in variable gait conditions for improved exosuit control
abstract
Exosuits can reduce metabolic demand and improve gait. Controllers explicitly derived from biological mechanisms that reflect the user's joint or muscle dynamics should in theory allow for individualized assistance and enable adaptation to changing gait. With the goal of developing an exosuit control strategy based on muscle power, we present an approach for estimating, at real time rates, when the soleus muscle begins to generate positive power. A low-profile ultrasound system recorded B-mode images of the soleus in walking individuals. An automated routine using optical flow segmented the data to a normalized gait cycle and estimated the onset of concentric contraction at real-time rates (~130Hz). Segmentation error was within 1% of the gait cycle compared to using ground reaction forces. Estimation of onset of concentric contraction had a high correlation (R2=0.92) and an RMSE of 2.6% gait cycle relative to manual estimation. We demonstrated the ability to estimate the onset of concentric contraction during fixed speed walking in healthy individuals that ranged from 39.3% to 45.8% of the gait cycle and feasibility in two persons post-stroke walking at comfortable walking speed. We also showed the ability to measure a shift in onset timing to 7% earlier when the biological system adapts from level to incline walking. Finally, we provided an initial evaluation for how the onset of concentric contraction might be used to inform exosuit control in level and incline walking.
Richard W. Nuckols, Krithika Swaminathan, Louis Awad, Conor J. Walsh, Robert D. Howe
ICRA1