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The Future Cities Crowdsensor
João Rodrigues, Vítor Ribeiro, Ana Aguiar, João Barros
FEUP
What is a crowdsensor?
• Leveraging the power of the crowd
• Use people as moving sensors to gather data
• Smartphones are...
CrowdSensor
• Modular and stable mobile sensing platform
– Application for Android OS
– Cloud storage
– Visualisation plat...
SenseMyCity App
• Internal Sensors
– Location: GPS, Network
– Motion: accelerometer,
gyroscope, magnetometer
– Connectivit...
Back and Frontoffice
• Storage and
visualisation
backoffices
• Data collection and
storage following
data protection
guide...
Where is more data collected
Where do participants spend
more time
What to do with the data?
• Available algorithms
– Calculate mobility pattern and route similarity
• E.g. suggest car pool...
• Please join as participant and contact us for
designing new experiences
• On-going data collection contest
Workshop on Large-scale Sensing For Future Cities'13 / Ana Aguiar: "SenseMyCity"
Workshop on Large-scale Sensing For Future Cities'13 / Ana Aguiar: "SenseMyCity"
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Workshop on Large-scale Sensing For Future Cities'13 / Ana Aguiar: "SenseMyCity"

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Transcript of "Workshop on Large-scale Sensing For Future Cities'13 / Ana Aguiar: "SenseMyCity""

  1. 1. The Future Cities Crowdsensor João Rodrigues, Vítor Ribeiro, Ana Aguiar, João Barros FEUP
  2. 2. What is a crowdsensor? • Leveraging the power of the crowd • Use people as moving sensors to gather data • Smartphones are a ubiquitous platform with many connectivity possibilities – 22% of the world population by the end of 2013 • Business Insider Intelligence, Dec 2013 – 39.6% of mobile phone users in Portugal • Marktest, Aug 2013 – 50% of the 15-24 age group • Marktest, Aug 2013 – These figures are growing
  3. 3. CrowdSensor • Modular and stable mobile sensing platform – Application for Android OS – Cloud storage – Visualisation platform
  4. 4. SenseMyCity App • Internal Sensors – Location: GPS, Network – Motion: accelerometer, gyroscope, magnetometer – Connectivity: WiFi, cellular – Environmental: temperature, pressure, humidity • External Sensors – On-Board Diagnostics (OBD) – Vital Jacket (ECG) – Zephyr (heart rate)
  5. 5. Back and Frontoffice • Storage and visualisation backoffices • Data collection and storage following data protection guidelines – Informed consent – Privacy – Data ownership
  6. 6. Where is more data collected
  7. 7. Where do participants spend more time
  8. 8. What to do with the data? • Available algorithms – Calculate mobility pattern and route similarity • E.g. suggest car pooling, or public transportation – Estimate fuel consumption – Draw WiFi coverage maps • E.g. use for managing WiFi roaming • Currently working on more
  9. 9. • Please join as participant and contact us for designing new experiences • On-going data collection contest
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