| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2024-11-05 |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| タイトル |
|
|
タイトル |
A Hybrid Deep Learning-Based Remote Monitoring Healthcare System Using Wearable Devices |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
Srivastava, Diksha
Krishnamoorthy, R.
Bharadwaja, Doradla
Nagarajaiah, Kavyashree
田中, 和明
Ramesh, Janjhyam Venkata Naga
|
| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
Athletes who push their bodies to the limit need to be in tip-top shape to compete. Before engaging in strenuous activity or competition, they should focus on building a healthy body. The ubiquitous availability of smartphones, recent advancements in computational, and artificial intelligence (AI) technologies, and the rising trends in multimedia and edge computation have all contributed to the emergence of new models and paradigms for wearable devices. Researchers have provided a diverse array of analytical methodologies centering on athlete health; however, neural networks have been applied in just a fraction of the completed investigations. Using recurrent neural networks and wearable technology, we offer a new method for forecasting the health of football players. One of the earliest uses of wearable sensors for athletes’ training and health, the suggested system keeps tabs on the players’ well-being in real time. After feeding the time-step data into a recurrent neural network (RNN) and extracting deep features from it, a set of health prediction results is returned. This study involves a number of experiments, the results of which are dependent on the players’ health data. The proposed method is shown to be practical and reliable through simulation results. The study's algorithms can form the basis of data-driven monitoring and instruction. The chapter finishes with a discussion of potential research approaches and future directions for the smart wearables sector. |
|
言語 |
en |
| 書誌情報 |
en : 5G-Based Smart Hospitals and Healthcare Systems
p. 1-18,
発行日 2023-12-13
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| 出版社 |
|
|
出版者 |
Taylor & Francis |
|
言語 |
en |
| DOI |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1201/9781003403678-1 |
| 著作権関連情報 |
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|
権利情報 |
This is an Accepted Manuscript of an article published by Taylor & Francis in 5G-Based Smart Hospitals and Healthcare Systems on 13 December, 2023, available online: http://www.tandfonline.com/10.1201/9781003403678-1. |
| 出版タイプ |
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|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 査読の有無 |
|
|
値 |
yes |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/251_ja.html |
| 論文ID（連携） |
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|
値 |
10441419 |
| 連携ID |
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|
値 |
12382 |
10441419.pdf (692.8 KB)
