An Application of Mobile Crowdsensing Techniques: Multiple Physiological Parameters Detection System
- 10.2991/cnct-16.2017.66How to use a DOI?
- Physiological Parameters Detection, IoT, Mobile Crowdsensing, Health care
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, 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.
- © 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/).
Cite this article
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 -