NoiseTube project
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Participatory sensingThe NoiseTube project
Nicolas Maisonneuve, Associate Researcher, SONY CSL Paris
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Issue 1: Scarcity of fine-grained data
Issue 2: Limited role of citizens
Environmental management
Change of paradigm in environmental data productionCitizens in the loopChange of paradigm in environmental data productionCitizens in the loop
Environmental/ health Sciences
Social/political sciences
Participatory sensing
Research
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Data gathering: a general problem
Water: limited accurate info on water and treatment systemsWater: limited accurate info on water and treatment systems
Food: Agricultural statistics deteriorated over timeFood: Agricultural statistics deteriorated over time
Health: uncertainty in exposure assessmentHealth: uncertainty in exposure assessment
[Poor data, weak agencies hamstring U.N. environmental oversight, NY Times, 2009]
[FAO, Audit 2009][Uncertainty and Data Quality in Exposure Assessment, WHO, 2008]
Poor system of monitoring
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Why do we need to involve citizens?
“Environmental issues are best handled with the participation of all concerned citizens..” [Principle 10, Rio Declaration, 1992]
But, in reality.. no real participation despite international agreements
Environmental issues = anthropogenic effect
Involvement change of behavior
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Opportunity for Participatory Sensing
Empowerment in the digital world
Growing public concern
+ + Democratization of powerful
& sensor-rich phones
New usage of phonephone = personal measurement instrument
Individual level : new user experienceAutonomy to measure local phenomenaNew form of expression/collaboration
Collective level: adaptative sensor network with a limited cost
New usage of phonephone = personal measurement instrument
Individual level : new user experienceAutonomy to measure local phenomenaNew form of expression/collaboration
Collective level: adaptative sensor network with a limited cost
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Case study: noise pollution monitoring in EU
EU countries
Health: 170 Million citizens impactedEconomical cost: €12 billion
issues Limited modeling Lack of observation Emission vs exposure
EU Call for real data! “Goals for future research include supplying the missing data.” [EC, 2004] “Every effort should be made to obtain accurate real data“ [EC WG, 2006]
No real exposure data at the individual level
Reality Noise map simulation
VS.
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Participatory monitoring of noise pollution using mobile phoneswww.noisetube.net
Goal: Enabling citizens to measure and tag their everyday exposure to inform the community by: supplying real exposure data building a collaborative exposure map of their environment
Goal: Enabling citizens to measure and tag their everyday exposure to inform the community by: supplying real exposure data building a collaborative exposure map of their environment
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How does it work?
Human-based sensingHuman-based sensing
No sound sent, only exposure User Privacy, user experience, Scalability
• LAeq(1s) computation (SP)
• Exposure Pattern recognition
sensors (microphone, gps) computer+
Phone-based sensingPhone-based sensing
free tagging of exposure
Diffusion of Raw exposure data
Bi-directional service
Collaborative exposure mapNoiseTube serve Public data commons
Data postprocessing (GIS)Gis server
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But, what about the accuracy?
Real-world experimentExperiment In lab
Person equipped with sensors Phone + hand free kit
Professional sensors
?=
Virtual noise sensor =microphone + software
Sound Level Meter (200$)
Collaboration with
After correction: error 2 db
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But, what about the accuracy?
?=
Virtual noise sensor =microphone + software
Sound Level Meter (200$)
Real-world experimentExperiment In lab
Phone in Hand Hand free kit Phone in pocket
+/- 2,5 db +/- 4,5 db +/- 6,5 db
correction in lab
phonecorrection
dB
dB
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And measuring is not enough..
Hazard identification issues Difficult to identify & separate noise sources from exposure recordings
Opportunity: tagging exposure
which source generated these levels?
Noise mapSound level meter
map with a semantic layer
People are excellent at recognizing noise sources
Using people as sensors to tag the source of their exposures (and thus inform the community)
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Real-time collective exposure
Simple visualisations for citizens/ police makers
•Exposure layer•Semantic layer •Contextual information •Real-time
Data aggregation by small piece of street
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Connected to the web ecosystem
Data commons accessible via public web API (GeoRSS, JSON) (e.g. tracking new data in an area)
Connected to the people
Real-time spreading of environmental information through social network service
Enhancing the conversation & dissemination (push)
Multiple ways to diffusion information (in progress)
SMS
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Empowerment - case study 1: Subway in Paris
Location of the lines reconstructed afterwards (no GPS) (+ PlaceEngine?)
No public information about noise in the subway(private data owned by the RATP company)
(2008)
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Empowerment - case study 2: Mumbai, India (2009)
Collaboration with NGO Awaaz Foundation organizing a campaign to raise awareness and map Mumbai, (end of september)
(need to adapt the application to the indian phone market)
3rd most noisy city in the world
AFP news
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vsMake it real (for real world
experimentation)
• No need new device: Recycling phone• 1st project accessible to the public (June)• 1st subway noise map
Data collected • Personal and geolocated exposure data
(epidemiological studies)• Human-based sensing
Visualization & Sharing• Data aggregation by urban element• (future) pollution information spreaded
via social networks (twitter)
Make it real (for real world experimentation)
• No need new device: Recycling phone• 1st project accessible to the public (June)• 1st subway noise map
Data collected • Personal and geolocated exposure data
(epidemiological studies)• Human-based sensing
Visualization & Sharing• Data aggregation by urban element• (future) pollution information spreaded
via social networks (twitter)
Related projects for air pollution
« sensing atmosphere (taxi driver) Berkeley, 2007
Noisetube
“Mobile Urban Sensing project” Cambridge, 2008
« street sweeper »,Berkeley, 2008
Conclusion
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Thanks for your attentionAny question?
Nicolas Maisonneuve
www.noisetube.net
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