MobileDust
September 10th, 2013 | Published in Research
The MobileDust project focuses on three different aspects of such distributed sensing, namely the instrumentation and data collection, the calibration and data processing/analytics, as well as the incentivization to participate in such systems.


Start/End
2013 – (running)
Research Topics
- Sensor Systems
- Mobile Computing
- Environmental Sensing
Sub-Projects / Related Projects
Contact
Matthias Budde (email: budde(at)teco.edu)
Selected Publications
(2017) Participatory Sensing or Participatory Nonsense? — Mitigating the Effect of Human Error on Data Quality in Citizen Science, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 1(3), pdf, doi:10.1145/3131900
(2016) Design of a Light-scattering Particle Sensor for Citizen Science Air Quality Monitoring with Smartphones: Tradeoffs and Experiences, ProScience 3(2nd International Conference on Atmospheric Dust – DUST2016), p. 13-20, url, doi:10.14644/dust.2016.003
(2016) Sensified Gaming – Design Patterns and Game Design Elements for Gameful Environmental Sensing, 13th International Conference on Advances in Computer Entertainment Technology (ACE2016), ACM, pdf, doi:10.1145/3001773.3001832
(2016) Advances in Smartphone-based Fine Dust Sensing, II International Conference on Atmospheric Dust – DUST 2016 5, p. 23, pdf
(2015) Robust In-situ Data Reconstruction from Poisson Noise for Low-cost, Mobile, Non-expert Environmental Sensing, 19th International Symposium on Wearable Computers (ISWC'15), pdf, doi:10.1145/2802083.2808406
(2014) Distributed, low-cost particulate matter sensing: scenarios, challenges, approaches, ProScience 1(1st International Conference on Atmospheric Dust (DUST 2014)), p. 230-236, Digilabs, pdf, doi:10.14644/dust.2014.038
(2013) Enabling Low-Cost Particulate Matter Measurement for Participatory Sensing Scenarios, 12th International Conference on Mobile and Ubiquitous Multimedia (MUM 2013), pdf, doi:10.1145/2541831.2541859
(2013) Retrofitting Smartphones to be Used as Particulate Matter Dosimeters, 17th International Symposium on Wearable Computers (ISWC'13), p. 139-140, pdf, doi:10.1145/2493988.2494342