Printed, Wireless, Soft Bioelectronics and Deep Learning Algorithm for Smart Human–Machine Interfaces

Author:

Kwon Young-Tae1,Kim Hojoong1,Mahmood Musa1,Kim Yun-Soung1,Demolder Carl1,Yeo Woon-Hong123ORCID

Affiliation:

1. George W. Woodruff School of Mechanical Engineering, Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

2. Wallace H. Coulter Department of Biomedical Engineering, Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

3. Center for Human-Centric Interfaces and Engineering, Neural Engineering Center, Institute for Materials, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

Funder

Georgia Institute of Technology

Georgia Research Alliance

Division of Information and Intelligent Systems

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

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