Mobile Sensor Networks based on Smartphone Devices and Web Services

Transcript

1. Mobile Sensor Networks based on Smartphone Devices and Web Services Miodrag Cekikj Software Developer Skopje Tech Meetup #9, May 4th, Piazza Liberta, Skopje http://skopjetechmeetup.mk #SkopjeTechMeetup
2. Agenda 2  Mobile Sensor Network/Wireless Sensor Network  The Mobile Phone as a Sensor  Traditional vs. Modern approach  Practical application - WRECK WATCH case study  Application prototype - LifeguardEye  Conclusion and further guidance
3. 1. Mobile Sensor Network/Wireless Sensor Network 3  Geographically distributed nodes interconnected in order to monitor the physical and living conditions in the environment Source: http://www.mdpi.com/1424-8220/8/11/7259/htm
4. 2. The Mobile Phone as a Sensor 4  Smartphone devices evolution…  Company: IBM  First Released: August 16, 1994  Weight: 510g  OS: Datalight ROM - DOS  CPU: Vadem 16 MHz, 16 bit  Memory: 1MB  Storage: 1MB  Data inputs: Microphone  Other: Touchscreen with stylus, Fax, Cellular pages  Price: 899$ IBM Simon Personal Communicator Source: http://www.historyofinformation.com/expanded.php?id=4640
5. 2. The Mobile Phone as a Sensor 5  Smartphone devices evolution…  Company: Ericsson  First Released: 2000  Weight: 164g  OS: Symbian  CPU: ARM - based processor  Memory: 2MB  Storage: 1.2MB  Data inputs: Microphone  Browser:WAP  Other: Email, Voice dial/answer/memo, Handwriting recognition  Price: 700$ Ericsson R380 Source: http://www.gsmarena.com/ericsson_r380-195.php
6. 2. The Mobile Phone as a Sensor 6  Smartphone devices evolution…  Company: Apple Inc.  First Released: 2007  Weight: 135g  OS: iOS  CPU: 412 MHz ARM 11  Memory: 128 MB  Storage: 4/8/16 GB  Data inputs: Microphone, 3 - axis Accelerometer, Proximity, Camera, Ambient light sensor  Browser: HTML (Safari)  Other: Maps, Email, Predictive text input, Headset controls  Price: 599$ Apple iPhone Source: http://www.gsmarena.com/apple_iphone-1827.php
7. 2. The Mobile Phone as a Sensor 7  Smartphone devices evolution… NG Smartphone devices Iris Scanner Fingerprint Accelerometer Gyroscope Proximity Compass Barometer Heart rate SpO2 GPS Temperature Humidity Gesture Ambient light
8. 2. The Mobile Phone as a Sensor 8  Smartphones sold to end users worldwide from 2007 to 2016 Source: https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/
9. 2. The Mobile Phone as a Sensor 9  Sensor data interpretation  Concept of “super - sampling”  Training/Knowledge algorithm Source: http://cs.dartmouth.edu/~campbell/papers/survey.pdf
10. 2. The Mobile Phone as a Sensor 10  Real world sensor applications
11. 3. Traditional vs. Modern approach 11 Source: https://www.dre.vanderbilt.edu/~schmidt/PDF/hamilton-book-chapter.pdf Traditional system Modern system
12. 3. Traditional vs. Modern approach 12 Source: https://www.dre.vanderbilt.edu/~schmidt/PDF/hamilton-book-chapter.pdf Traditional accident detection system Smartphone - Based Accident Detection System
13. 4. Practical application - WRECK WATCH case study 13 Source: http://www1.cse.wustl.edu/~schmidt/PDF/wreckwatch.pdf Wreck Watch system behavior
14. 4. Practical application - WRECK WATCH case study 14  Wreck Watch system functionalities Source: http://www1.cse.wustl.edu/~schmidt/PDF/wreckwatch.pdf Accident Image Upload
15. 4. Practical application - WRECK WATCH case study 15  Wreck Watch system functionalities Source: http://www1.cse.wustl.edu/~schmidt/PDF/wreckwatch.pdf Web Browser Interface to SmartNet
16. 4. Practical application - WRECK WATCH case study 16  Empirical Results - Experimentation Platform Source: http://www1.cse.wustl.edu/~schmidt/PDF/wreckwatch.pdf Acceleration During a Fall Acceleration During a Sudden Stop
17. 4. Practical application - WRECK WATCH case study 17  Empirical Results - Experimentation Platform  Using Context Information to Eliminate False - positives  GPS must be activated!  Recording accelerometer information and looking for potential accidents above 15mph (15 mile/hour = 24.140 kilometer/hour)  Ignores any acceleration events below 4G’s Source: http://www1.cse.wustl.edu/~schmidt/PDF/wreckwatch.pdf Airbag deployment is 60G’s Football helmet during play approximately 29.2 G’s
18. 5. Application prototype - LifeguardEye 18  LifeguardEye user roles  Sunbather  Lifeguard  Supervisor
19. 5. Application prototype - LifeguardEye 19  User forms for review of watering place areas
20. 5. Application prototype - LifeguardEye 20  Customized forms for create/preview user reports
21. 5. Application prototype - LifeguardEye 21  Geo - location (GPS sensor)
22. 6. Conclusion and further guidance 22  "The mobile phone as a sensor" as a fundamental aspect within the evolution of traditional wireless sensor networks in modern wireless sensor networks  "Human As A Sensor" as one of the challenges to determine the further research directions
23. Thank you for your attention! 23 “The number one benefit of information technology is that it empowers people to do what they want to do. It lets people be creative. It lets people be productive. It lets people learn things they didn't think they could learn before, and so in a sense it is all about potential. ” Steve Ballmer