Intelligent Textiles for Physical Interactions
Name
luo-yiyueluo-phd-eecs-2024-thesis.pdf
Description
Thesis PDF
Size
110.66 MB
Format
Adobe PDF
Checksum (MD5)
e907443c51f3dfef5be61e9f27081ca5
Author(s)
Luo, Yiyue
Advisor(s)
Matusik, Wojciech
Palacios, Tomás
Date Issued
September 2024
Publisher
Massachusetts Institute of Technology
Abstract
Human-environment interaction is a fundamental aspect of our daily lives, involving the constant use of our sensory and motor systems to extract, process, and communicate information. However, capturing, analyzing, and reproducing these interactions pose significant challenges due to their pervasive, variable, and prolonged nature, as well as their unique character for each individual. Despite these challenges, it is essential to develop systems that can accurately capture and reproduce human-environment interactions for a wide range of applications, including human behavior studies, health monitoring, human-computer interactions, and robot imitation learning. This thesis focuses on developing seamlessly integrated, scalable manufactured sensing and actuating systems, as well as advanced computational pipelines to capture, analyze, and reproduce adaptive ubiquitous physical human-environment interactions.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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In Copyright - Educational Use Permitted
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