An Application of Mobile Crowdsensing Techniques: Multiple Physiological Parameters Detection System

DOI

10.2991/cnct-16.2017.66How to use a DOI?

Keywords

Physiological Parameters Detection, IoT, Mobile Crowdsensing, Health care

Abstract

Mobile crowdsensing serves as a critical building block for the emerging Internet of Things(IoT). Smartphones is a typical example of mobile sensing device. In this paper, we will introduce an application based on mobile crowdsensing[1], which is multiple physiological parameters detection system. Elderly and pregnant are both of vulnerable groups in China, and the number of these people is huge. The healthy status of these people is our main concern. With the multiple physiological parameters, we can forecast some kind of disease. Hypertension,for example. Firstly, the PPG(photoplethysmography) signal will be got by the MCU. Secondly, the raw data will be send to the mobile app through bluetooth. Finally, the result will be send to the cloud. If any abnormal data occurs, targeted services will be provided for the users.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liu-bin LI
AU  - Liu WANG
AU  - Song MA
AU  - Kai LI
AU  - Guan WANG
AU  - Yu-hua CHENG
PY  - 2016/12
DA  - 2016/12
TI  - An Application of Mobile Crowdsensing Techniques: Multiple Physiological Parameters Detection System
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 475
EP  - 479
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.66
DO  - 10.2991/cnct-16.2017.66
ID  - LI2016/12
ER  -