Zhang, R;
Ravi, D;
Yang, G-Z;
Lo, B;
(2017)
A Personalized Air Quality Sensing System - A preliminary study on assessing the air quality of London Underground Stations.
In: Habetha, Joerg and Leonhardt, Steffen and Yang, Guang-Zhong, (eds.)
Proceedings of IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN) - 2017.
(pp. pp. 111-114).
IEEE: Eindhoven, Netherlands.
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Abstract
Recent studies have shown that air pollution has a negative impact on people's health, especially for patients with respiratory and cardiac diseases (e.g. COPD, asthma, ischemic heart disease). Although there are already many air quality monitoring stations in major cities, such as London, these stations are sparsely located, and the periodic collection of information is insufficient to provide the granularity needed to assess the environmental risk for an individual (e.g. to avoid exacerbation). Wearable devices, on the other hand, are more suitable in this context, providing a better estimation of the air quality in the proximity of the person. Therefore, relevant warnings and information on health risks can be provided in real-time. As a proof of concept, we have developed a wearable sensor for continuous monitoring of air quality around the user, and a preliminary study was conducted to validate the sensor and assess the air quality in London underground stations. Based on the PM2.5 (particulate matter with a diameter of 2.5 μm), temperature and location information, a model is generated for predicting the air quality of each station at different times. Our preliminary results have shown that there are significant differences in air quality among stations and metro lines. It also demonstrates that wearable sensors can provide necessary information for users to make travel arrangements that minimize their exposure to polluted air.
| Type: | Proceedings paper |
|---|---|
| Title: | A Personalized Air Quality Sensing System - A preliminary study on assessing the air quality of London Underground Stations |
| Event: | 14th Annual IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) |
| Location: | High Tech Campus, Eindhoven, NETHERLANDS |
| Dates: | 09 May 2017 - 12 May 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/BSN.2017.7936020 |
| Publisher version: | https://doi.org/10.1109/BSN.2017.7936020 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10062887 |
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