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Laura Snyder

dblp:246/7910 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—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 · 67% Human-robot interaction · 33%
Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › assistive technology
ankle-foot orthosis
0.412019
Design of a Soft Ankle-Foot Orthosis Exosuit for Foot Drop Assistance · ICRA 2019
Accessibility and assistive technology
assistive technology
0.412019
Design of a Soft Ankle-Foot Orthosis Exosuit for Foot Drop Assistance · ICRA 2019
Human-robot interaction › wearable robot
soft exosuit
0.412019
Design of a Soft Ankle-Foot Orthosis Exosuit for Foot Drop Assistance · ICRA 2019
Robotics › Robot manipulation › actuator design
soft actuator design
0.112019
Design of a Soft Ankle-Foot Orthosis Exosuit for Foot Drop Assistance · ICRA 2019

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

kinematic study · 0.8finite element analysis · 0.8electromyography · 0.8
YearPublicationVenuePosition
2019 Design of a Soft Ankle-Foot Orthosis Exosuit for Foot Drop Assistance
abstract
This paper presents the design of a soft ankle-foot orthosis (AFO) exosuit to aid natural gait restoration for individuals suffering from foot drop. The sock-like AFO is comprised of soft actuators made from fabric-based, thermally-bonded nylon and designed to be worn over the users shoes. The system assists dorsiflexion during swing phase of the gait cycle utilizing a contracting soft actuator, and provides ankle joint proprioception during stance with a variable stiffness soft actuator. A computational model is developed using finite element analysis to optimize the performance characteristics of the fabric actuators prior to fabrication, maximize contraction, and minimize overall volume. The dorsiflexion actuator is able to achieve a linear tensile force of 197 N at 200 kPa. The variable stiffness actuator generates up to 1. 2 Nm of torque at the same pressure. The computational model and soft AFO are experimentally validated and with a healthy participant through kinematic and electromyography studies. When active the AFO is capable of reducing by 13.3% the activity of the muscle responsible for ankle dorsiflexion during the swing phase.
Carly M. Thalman, Joshua Hsu, Laura Snyder, Panagiotis Polygerinos
ICRA3