Proceedings of the International Conference on Electronics, Mechanics, Culture and Medicine

Analysis of Ethics for Using Portable Intelligent Devices based on PLS Regression Model

Authors
Xuecai Bao, Jinghai Yin, Tangsheng Wang
Corresponding Author
Xuecai Bao
Available Online February 2016.
DOI
https://doi.org/10.2991/emcm-15.2016.125How to use a DOI?
Keywords
Analysis of ethics; Portable intelligent devices; Partial least-squares regression model
Abstract
With the development of wearable device, ethical issues widely attracted the attention of many people. The operating principles of technology and the basic definition of human well-being need to analyze the ethics issue for using portable intelligent devices. In this paper, the factors of impacting human healthy are described and the 21 variables are used for ethics analysis. Then, the partial least-squares regression model is proposed for discriminant analysis of ethics. The model between human healthy and portable intelligent equipment is established. Lastly, the result shows that the proposed method has higher prediction accuracy and the proposed contribution degree is valid for the ethics analysis.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Electronics, Mechanics, Culture and Medicine
Part of series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-163-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-15.2016.125How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuecai Bao
AU  - Jinghai Yin
AU  - Tangsheng Wang
PY  - 2016/02
DA  - 2016/02
TI  - Analysis of Ethics for Using Portable Intelligent Devices based on PLS Regression Model
BT  - International Conference on Electronics, Mechanics, Culture and Medicine
PB  - Atlantis Press
SP  - 680
EP  - 685
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-15.2016.125
DO  - https://doi.org/10.2991/emcm-15.2016.125
ID  - Bao2016/02
ER  -