sensemycity overview

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This is an overview of what our crowdsensing platform is and can achieve, including examples from a beta data collection and examples of single case and longitudinal stress study. The latter were carried out in cooperation with Prof. João Paulo Cunha, Prof. Mariana Kaiseler, Prof. Cristina Queirós.

TRANSCRIPT

Page 1: SenseMyCity Overview
Page 2: SenseMyCity Overview

     The  Future  Ci+es  Crowdsensor  

João  Rodrigues,  Vítor  Ribeiro,  Ana  Aguiar,  João  Barros  FEUP,  IT  

Page 3: SenseMyCity Overview

What  is  a  crowdsensor?  

•  Leveraging  the  power  of  the  crowd  •  Use  people  as  moving  sensors  to  gather  data    

•  Smartphones  are  a  ubiquitous  plaIorm  with  many  connecKvity  possibiliKes  –  22%  of  the  world  populaKon  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  

Page 4: SenseMyCity Overview

•  Modular  and  stable  mobile  sensing  plaIorm  –  ApplicaKon  for  Android  OS  –  Cloud  storage  –  VisualisaKon  plaIorm  

 

CrowdSensor  

Page 5: SenseMyCity Overview

SenseMyCity  App  

•  Internal  Sensors  –  LocaKon:  GPS,  Network  –  MoKon:  accelerometer,  

gyroscope,  magnetometer  –  ConnecKvity:  WiFi,  cellular  –  Environmental:  temperature,  

pressure,  humidity  

•  External  Sensors  –  On-­‐Board  DiagnosKcs  (OBD)  –  Vital  Jacket  (ECG)  –  Zephyr  (heart  rate)  

Page 6: SenseMyCity Overview

Back  and  Frontoffice  

•  Storage  and  visualisaKon  backoffices  

•  Data  collecKon  and  storage  following  data  protecKon  guidelines  –  Informed  consent  –  Privacy  –  Data  ownership  

Page 7: SenseMyCity Overview

Mobility  Study  

•  30  day  data  collecKon  campaign  •  10  users  •  ≈  40h  of  data  •  ≈  142k  GPS-­‐indexed  points  

Page 8: SenseMyCity Overview

Average  Speed  

Page 9: SenseMyCity Overview

Aggregate  Fuel  ConsumpKon  

Page 10: SenseMyCity Overview

Important  Places  

Page 11: SenseMyCity Overview

#  WiFi  APs  

Page 12: SenseMyCity Overview

Stress  Assessment  

•  Example  study  case  with  single  driver  – hgp://youtu.be/RLQL5ptIQiE  

•  Example  longitudinal  study  with  quesKonnaires  and  recall  phase  – hgp://youtu.be/YygyIUXskdY  

Page 13: SenseMyCity Overview

An  example  longitudinal  study  

Page 14: SenseMyCity Overview

CrowdSensor  

Typical  Use  Cases  •  Urban  data  collecKon  •  Longitudinal  studies  on  specific  groups  – Police  officers,  bus  drivers,  firemen,  …  

•  Algorithm  validaKon    – Machine  learning  – Context  inference  

•  Service  acceptance,  user  trials    

Page 15: SenseMyCity Overview

What  you  can  do  with  it?  

•  Configure  the  plaIorm  for  your  own  crowdsensing  applicaKon  – You  can  choose  only  a  subset  of  sensors  and  add  your  own  interface  

– You  can  add  a  workflow  – You  can  add  geo-­‐located  quesKonnaires  – You  can  record  voice  answers  

Page 16: SenseMyCity Overview

       

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