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Michael O'Dell

dblp:344/9293 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-2548-2152ORCID · reported

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

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

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
Personal fabrication and tangible interfaces · 44% Health and well-being technologies · 44% Haptics and multimodal interaction · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies
rehabilitation technology
0.712023
KnitDema: Robotic Textile as Personalized Edema Mobilization Device · CHI 2023
Haptics and multimodal interaction
wearable actuator
0.212023
KnitDema: Robotic Textile as Personalized Edema Mobilization Device · CHI 2023

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

machine knitting · 0.7case study · 0.7
YearPublicationVenuePosition
2023 KnitDema: Robotic Textile as Personalized Edema Mobilization Device
abstract
Hand edema, defined as swelling of the hands caused by excess fluid accumulation, is a pervasive condition affecting a person’s range of motion and functional ability. However, treatment strategies remain limited to time-consuming manual massage by trained therapists, deterring a widely accessible approach. We present KnitDema, a robotic textile device that allows sequential compression from distal to proximal finger phalanges for mobilizing edema. We machine-knit the device and integrate small-scale actuators to envelop granular body locations such as fingers, catering to the shape of the hand. In addition, the device affords customizable compression levels through the enclosed fiber-like actuators. We characterize compression parameters and simulate the shunting of edema through a mock fluid system. Finally, we conduct a case study to evaluate the feasibility of the device, in which five hand edema patients assess KnitDema. Our study provides insights into the opportunities for robotic textiles to support personalized rehabilitation.
Jin Hee (Heather) Kim, Joan Stilling, Michael O'Dell, Hsin-Liu Cindy Kao
CHI3