Smart factories of Industry 4.0: Determination of the effective smartphone position for human activity recognition using deep learning

Nithish Kannen; Abdulhamit Subasi

doi:10.1088/978-0-7503-5658-9ch3

Smart factories of Industry 4.0: Determination of the effective smartphone position for human activity recognition using deep learning

Nithish Kannen
, Abdulhamit Subasi

College of Emergency Preparedness, Homeland Security & Cybersecurity

University at Albany

Indian Institute of Technology Kharagpur

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Original language	English
Title of host publication	Security issues, management and future opportunities
Publisher	Institute of Physics Publishing
Pages	3.1-3.21
Volume	2
ISBN (Electronic)	9780750356589
ISBN (Print)	9780750356565
DOIs	https://doi.org/10.1088/978-0-7503-5658-9ch3
State	Published - Aug 29 2023

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10.1088/978-0-7503-5658-9ch3

Cite this

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Smart factories of Industry 4.0: Determination of the effective smartphone position for human activity recognition using deep learning. / Kannen, Nithish; Subasi, Abdulhamit.
Security issues, management and future opportunities. Vol. 2 Institute of Physics Publishing, 2023. p. 3.1-3.21.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Smart factories of Industry 4.0

T2 - Determination of the effective smartphone position for human activity recognition using deep learning

AU - Kannen, Nithish

AU - Subasi, Abdulhamit

PY - 2023/8/29

Y1 - 2023/8/29

UR - https://www.scopus.com/pages/publications/85172802856

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DO - 10.1088/978-0-7503-5658-9ch3

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BT - Security issues, management and future opportunities

PB - Institute of Physics Publishing

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Smart factories of Industry 4.0: Determination of the effective smartphone position for human activity recognition using deep learning

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