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Titlebook: Human-Centered Technology for a Better Tomorrow; Proceedings of HUMEN Mohd Hasnun Arif Hassan,Zulkifli Ahmad (a) Manap,M Conference proceed

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书目名称Human-Centered Technology for a Better Tomorrow
副标题Proceedings of HUMEN
编辑Mohd Hasnun Arif Hassan,Zulkifli Ahmad (a) Manap,M
视频video
概述Presents selected papers from the Human Engineering Symposium (HUMENS 2020) held in Pekan, Pahang, Malaysia, August 2020?.Appeals to researchers and practitioners from the field of medical device manu
丛书名称Lecture Notes in Mechanical Engineering
图书封面Titlebook: Human-Centered Technology for a Better Tomorrow; Proceedings of HUMEN Mohd Hasnun Arif Hassan,Zulkifli Ahmad (a) Manap,M Conference proceed
描述This book acts as a compilation of papers presented in the Human Engineering Symposium (HUMENS 2021). The symposium theme, “Human-centered Technology for A Better Tomorrow,” covers the following research topics: ergonomics, biomechanics, sports technology, medical device and instrumentation, artificial intelligence / machine learning, industrial design, rehabilitation, additive manufacturing, modelling and bio-simulation, and signal processing. Fifty-nine articles published in this book are divided into four parts, namely Part 1—Artificial Intelligence and Biosimulation, Part 2—Biomechanics, Safety and Sports, Part 3—Design and Instrumentation, and Part 4—Ergonomics.
出版日期Conference proceedings 2022
关键词Human Factor Engineering; Biomechanics; Ergonomics; Sports Technology; Artificial Intelligence; Industria
版次1
doihttps://doi.org/10.1007/978-981-16-4115-2
isbn_softcover978-981-16-4114-5
isbn_ebook978-981-16-4115-2Series ISSN 2195-4356 Series E-ISSN 2195-4364
issn_series 2195-4356
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Kamarulzaman Mahmad Khairai,Muhammad Nubli Abdul Wahab,Auditya Purwandini Sutartonitive" theory that might raise the disciplines above the threatened tautology. Instead, I have found it more important to examine different methodological appr978-1-4757-9411-3978-1-4757-9409-0Series ISSN 1574-0439
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EMG Signal Segmentation to Predict Driver’s Vigilance Stateng feature selection method. Finally, to evaluate the performance measure of the feature selection method and classify the driver’s condition, ANN was applied. From the results obtained, ANN performance using features that undergo feature selection method produce a better classification accuracy com
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Study on the Enhancement of Malaysian ICU Centre and Introduction of STAR Performanceccounting for patient variability with a stochastically derived maximum 5% risk of hypoglycaemia events. The in-silico trials were simulated with controlled goal feed (GF) and without GF. Only one type of nutrition is considered in this study, which is Glucerna. The results show that all three ICU c
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