Air Quality Egg (2017). Air quality egg. http://airqualityegg.com. Accessed 19/01/2017.
Arduino (2017). Arduino. http://arduino.cc. Accessed 19/01/2017.
Ayres, J. (2011). Review of the UK air quality index. The Medical Effects of Air Pollutants. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/304633/COMEAP_review_of_the_uk_air_quality_index.pdf. Accessed 14/02/2017.
Beckerman, B., Jerrett, M., Brook, J. R., Verma, D. K., Arain, M. A., & Finkelstein, M. M. (2008). Correlation of nitrogen dioxide with other traffic pollutants near a major expressway. Atmospheric Environment, 42(2), 275–290.
Bickerstaff, K. (2004). Risk perception research: socio-cultural perspectives on the public experience of air pollution. Environment International, 30(6), 827–840.
Bickerstaff, K., & Walker, G. (2001). Public understandings of air pollution: the ‘localisation’ of environmental risk. Global Environmental Change, 11(2), 133–145.
BMJ. (2015). Can healthy people benefit from health apps? BMJ, 2015(350), h1887.
Brimblecombe, P., & Grossi, C. M. (2009). Millennium-long damage to building materials in London. Science of the Total Environment, 407(4), 1354–1361.
Brimblecombe, P., & Grossi, C. M. (2010). Potential damage to modern building materials from 21st century air pollution. The Scientific World Journal, 10, 116–125.
Castellano, J., & Casamichana, D. (2010). Heart rate and motion analysis by GPS in beach soccer. Journal of Sports Science and Medicine, 9(1), 98–103.
Conrad, C. C., & Hilchey, K. G. (2011). A review of citizen science and community-based environmental monitoring: issues and opportunities. Environmental Monitoring and Assessment, 176(1–4), 273–291.
Cooking Hacks (2014). Airflow sensor for e-health platform. http://www.cooking-hacks.com/airflow-sensor-breathing-ehealth-medical. Accessed 21/03/2015.
Cooper, C. (2015) Fitness wristband apps just make healthy people anxious. The Independent. Wednesday 15 April 2015 pp.5.
Coulton, P., Jacobs, R., Burnett, D., Gradinar, A., Watkins, M., & Howarth, C. (2014). Designing data driven persuasive games to address wicked problems such as climate change. In Proceedings of MindTrek 2014, November 4–7, 2014, Tampere, Finland.
Crabbe, H., Hamilton, R., et al. (2000). Using GIS and dispersion modelling tools to assess the effect of the environment on health. Transactions in GIS, 4(3), 235–244.
Davies, G., & Whyatt, J. D. (2014). A network-based approach for estimating pedestrian journey-time exposure to air pollution. Science of the Total Environment, 485, 62–70.
Day, R. (2007). Place and the experience of air quality. Health & Place, 13(1), 249–260.
DEFRA (2015). Defra national statistics release: air quality statistics in the UK, 1987 to 2014. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/517681/Air_Quality_National_Statistic_2015_final.pdf. Accessed 14/02/2017.
de Nazelle, A., Fruin, S., Westerdahl, D., Martinez, D., Ripoll, A., Kubesch, N., & Nieuwenhuijsen, M. (2012). A travel mode comparison of commuters exposures to air pollutants in Barcelona. Atmospheric Environment, 59, 151–159.
de Nazelle, A., Seto, E., Donaire-Gonzalez, D., Mendez, M., Matamala, J., Nieuwenhuijsen, M. J., & Jerrett, M. (2013). Improving estimates of air pollution exposure through ubiquitous sensing technologies. Environmental Pollution, 176, 92–99.
Duncan, J. S., Badland, H. M., & Schofield, G. (2009). Combining GPS with heart rate monitoring to measure physical activity in children: a feasibility study. Journal of Science and Medicine in Sport, 12(5), 583–585.
e2V (2008). MiCS-2710 NO2 sensor datasheet. http://www.cdiweb.com/datasheets/e2v/mics-2710.pdf. Accessed 21/03/2015.
Fjørtoft, I., Kristoffersen, B., & Sageie, J. (2009). Children in schoolyards: tracking movement patterns and physical activity in schoolyards using global positioning system and heart rate monitoring. Landscape and Urban Planning, 93(3), 210–217.
Fjørtoft, I., Löfman, O., & Thorén, K. H. (2010). Schoolyard physical activity in 14-year-old adolescents assessed by mobile GPS and heart rate monitoring analysed by GIS. Scandinavian Journal of Public Health, 38(5 suppl), 28–37.
Galatioto, F., Bell, M. C., & Hill, G. (2014). Understanding the characteristics of the microenvironments in urban street canyons through analysis of pollution measured using a novel pervasive sensor array. Environmental Monitoring and Assessment, 186(11), 7443–7460.
Gerharz, L. E., Krüger, A., & Klemm, O. (2009). Applying indoor and outdoor modeling techniques to estimate individual exposure to PM2.5 from personal GPS profiles and diaries: a pilot study. Science of the Total Environment, 407(18), 5184–5193.
Gilbert, N. L., Woodhouse, S., Stieb, D. M., & Brook, J. R. (2003). Ambient nitrogen dioxide and distance from a major highway. Science of the Total Environment, 312(1), 43–46.
Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4), 211–221.
Greaves, S., Issarayangyun, T., & Liu, Q. (2008). Exploring variability in pedestrian exposure to fine particulates (PM 2.5) along a busy road. Atmospheric Environment, 42(8), 1665–1676.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): a vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
Gulliver, J., & Briggs, D. (2011). STEMS-air: a simple GIS based air pollution dispersion model for city-wide exposure assessment. Science of the Total Environment, 409, 2419–2429.
Haklay, M. (2013). Neogeography and the delusion of democratisation. Environment and Planning A, 45(1), 55–69.
Hatzopoulou, M., Weichenthal, S., Barreau, G., Goldberg, M., Farrell, W., Crouse, D., & Ross, N. (2013). A web-based route planning tool to reduce cyclists exposures to traffic pollution: a case study in Montreal, Canada. Environmental Research, 123, 58–61.
Heinrich, J., Schwarze, P. E., Stilianakis, N., Momas, I., Medina, S., & Totlandsdal, A. I. (2005). Studies on health effects of transport-related air pollution. In M. Krzyzanowski, B. Kuna-Dibbert, & S. J. Denmark (Eds.), Health effects of transport-related air pollution (pp. 25–65). Copenhagen: World Health Organisation.
Howel, D., Moffatt, S., Bush, J., Dunn, C. E., & Prince, H. (2003). Public views on the links between air pollution and health in Northeast England. Environmental Research, 91(3), 163–171.
Huck, J., Whyatt, D., Coulton, P., & Gradinar, A. (2014). Mapping traffic pollution exposure: the quantified self. In J. Drummond (Ed.), Proceedings of the GIS Research UK 22nd Annual Conference: the University of Glasgow 16th–18th April, 2014 (Vol. Vol. 1, pp. 243–251). Glasgow: Geomatic Group, University of Glasgow.
Int Panis, L., de Geus, B., Vandenbulcke, G., Willems, H., Degraeuwe, B., & Bleux, N. (2010). Exposure to particulate matter in traffic: a comparison of cyclists and car passengers. Atmospheric Environment, 44(19), 2263–2270.
Kingham, S., Longley, I., Salmond, J., Pattinson, W., & Shrestha, K. (2013). Variations in exposure to traffic pollution while travelling by different modes in a low density, less congested city. Environmental Pollution, 181, 211–218.
LEO (2015). Small low cost environmental monitoring challenge. http://www.leadingedgeonly.com/providers/_e363-low-cost-environmental-monitoring.aspx?goal=0_c999f25821-2355e73e16-178687169. Accessed 01/03/2015.
Libelium (2014). New calibrated gas sensors allow maximum accuracy for industrial, environmental, agriculture and farming applications. http://www.libelium.com/new-calibrated-gas-sensors-allow-maximum-accuracy-for-industrial-environmental-agriculture-and-farming . Accessed 10/10/2014.
Libelium (2017). Waspmote. http://www.libelium.com/products/waspmote. Accessed 19/01/2017.
Longhurst, J. (2005). 1 to 100: creating an air quality index in Pittsburgh. Environmental Monitoring and Assessment, 106(1–3), 27–42.
Luo, H., Ci, S., Wu, D., Stergiou, N., & Siu, K. C. (2010). A remote markerless human gait tracking for e-healthcare based on content-aware wireless multimedia communications. Wireless Communications, IEEE, 17(1), 44–50.
Meng, Q. Y., Svendsgaard, D., Kotchmar, D. J., & Pinto, J. P. (2012). Associations between personal exposures and ambient concentrations of nitrogen dioxide: a quantitative research synthesis. Atmospheric Environment, 57, 322–329.
Nieuwenhuijsen, M. J., Donaire-Gonzalez, D., Foraster, M., Martinez, D., & Cisneros, A. (2014). Using personal sensors to assess the exposome and acute health effects. International Journal of Environmental Research and Public Health, 11(8), 7805–7819.
Pooley, C. G., Whyatt, J. D., Walker, M., Davies, G., Coulton, P., & Bamford, W. (2010). Understanding the school journey: integrating data on travel and environment. Environment and Planning A, 42(4), 948–965.
Ramalingam, A., Dorairaj, P., & Ramamoorthy, S. (2012). Personal Safety Triggering System on Android Mobile Platform. arXiv:1208.3138.
Rowland, K. (2012) Citizen science goes ‘extreme’. http://www.nature.com/news/citizen-science-goes-extreme-1.10054. Accessed 01/07/2015.
Semenza, J. C., Wilson, D. J., Parra, J., Bontempo, B. D., Hart, M., Sailor, D. J., & George, L. A. (2008). Public perception and behavior change in relationship to hot weather and air pollution. Environmental Research, 107(3), 401–411.
Shah, A. S., Langrish, J. P., Nair, H., McAllister, D. A., Hunter, A. L., Donaldson, K., Newby, D. E., & Mills, N. L. (2013). Global association of air pollution and heart failure: a systematic review and meta-analysis. The Lancet, 382(9897), 1039–1048.
Sharker, M. H., & Karimi, H. A. (2014). Computing least air pollution exposure routes. International Journal of Geographical Information Science, 28(2), 343–362.
Smallbone, K. (2012). Individuals interpretation of air quality information: follow up investigation into the proposed air quality health advice. Report for DEFRA. Available at: http://uk-air.defra.gov.uk/library/reports?report_id=720
Smart Citizen (2017). Smart citizen. http://www.smartcitizen.me. Accessed 19/01/2017.
Snyder, E. G., Watkins, T. H., Solomon, P. A., Thoma, E. D., Williams, R. W., Hagler, G. S., & Preuss, P. W. (2013). The changing paradigm of air pollution monitoring. Environmental Science & Technology, 47(20), 11369–11377.
Steinle, S., Reis, S., Sabel, C. E., Semple, S., Twigg, M. M., Braban, C. F., Leeson, S. R., Heal, M. R., Harrison, D., Lin, C., & Wu, H. (2015). Personal exposure monitoring of PM 2.5 in indoor and outdoor microenvironments. Science of the Total Environment, 508, 383–394.
Swan, M. (2012a). Sensor mania! The Internet of Things, wearable computing, objective metrics, and the quantified self 2.0. Journal of Sensor and Actuator Networks, 1(3), 217–253.
Swan, M. (2012b). Health 2050: the realization of personalized medicine through crowdsourcing, the quantified self, and the participatory biocitizen. Journal of Personalized Medicine, 2(3), 93–118.
TDC Systems (2017). TDC systems. http://www.tdcsystems.co.uk. Accessed 19/01/2017.
van den Elshout, S., Léger, K., & Nussio, F. (2008). Comparing urban air quality in Europe in real time: a review of existing air quality indices and the proposal of a common alternative. Environment International, 34(5), 720–726.
Wakefield, S. E., Elliott, S. J., Cole, D. C., & Eyles, J. D. (2001). Environmental risk and (re)action: air quality, health, and civic involvement in an urban industrial neighbourhood. Health & Place, 7(3), 163–177.
Weather Underground (2017). Weather underground. http://www.wunderground.com. Accessed 19/02/2017.
WHO (2013) Review of evidence on health aspects of air pollution—REVIHAAP Project. World Health Organisation REVIHAAP Project Technical Report.
Worringham, C., Rojek, A., & Stewart, I. (2011). Development and feasibility of a smartphone, ECG and GPS based system for remotely monitoring exercise in cardiac rehabilitation. PloS One, 6(2), e14669.
Yu, Q., Lu, Y., Xiao, S., Shen, J., Li, X., Ma, W., & Chen, L. (2012). Commuters exposure to PM1 by common travel modes in Shanghai. Atmospheric Environment, 59, 39–46.