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The Internet of Things
(Quantified Self, IoT, Smart Cities, Smart Cars, Smart Clothes)


May, 2012

Yuri van Geest
Quantified Self Europe
Singularity University – NL Ambassador
Vodafone Mobile Clicks
TEDx

                                                             1
Agenda


•  Big Picture

•  Internet of Things
  –  Houses, Transport & Infrastructure, Robots,
     Tracking, Clothes, Bodies




                                                   2
Big Picture



              3
Power, Knowledge & Globalization
Religion & Church (< 1500)

Nations (1500-1800)

Multinationals (1800-2000)

Individual & Social network (> 2000)
•  Social Media / Mobile Internet / DNA Profile / DIY
   Bio / Neuro Profiles / Urban Farming (DIY Food) /
   Solar Energy / 3D Printers / Robots / Claytronics /
   Nanofactories / Self Health & Education / Smart
   Cities & the Internet of Things
                                                         4
Globalization of Individuals & Groups

•  Increased Empowerment / DIY

•  From Making Digital Products to
   Material (3D Printers) and Biological
   (DNA printer) Products

•  Strong Rise of Startup Culture due to
   Convergence / Singularity
                                           5
Evolution: More openness
•    Blogs (2003) / Typepad
•    Photos (2004) / Flickr
•    Videos (2005) / YouTube
•    Tweets (2007) / Twitter
•    Location (2009) / FourSquare
•    Personal Health Data (2011) / Quantified Self
•    Smart Cities (2013?) / Internet of Things
•    DNA (2015?) / Nanopore / Life / Halcyon Molecular
•    Brain (2016?) / OmNeuron / NeuroSky / Emotiv / Interaxon

From the Outside World to our Inside Worlds/Bodies
                                                            7
We Make The Invisible
 Visible and Social

Planned Serendipity
                        8
Internet of Things



                     9
13-3-2012   Online Tuesday   10
Every Body / Thing /
Object Will Become an
   Open Platform
       with an
Open API (in the end)
                    11
Key developments
Everything is connected
(internet, sensor networks, objects)

Open data
(API’s; government, infrastructure, health)

Apps for everything
(in cities, at home, in cars, etc.)


                                              12
Benefits
Optimization / Productivity / Efficiency

Effectiveness

Collaboration / Cooperation

Prevention (Self Diagnosing & Healing Systems)

Scientific Research (Open Data, Big Data)

                                             13
Key developments




                   14
U-City Songdo (Z-Korea, 2014)
•  What is it:
   –  City with interconnected services
      (health, school, traffic, sports,
      shopping, home, (disaster) alerts,
      security, etc.)
   –  65.000 residents, 300.000 work
      spaces, Business Hub


•  Used technology:
   –  Wireless (WiFi, bluetooth)
   –  RFID tags, NFC




                                           15
Masdar City (Abu Dhabi, 2020)
•  What is it:
   –  Fully self-sufficient city (CO2
      neutral, no waste)
   –  50.000 res., 1.500 companies
   –  No cars allowed, unmanned public
      transport instead


•  Used technology:
   –  Sustainable green energy: solar,
      wind, hydrogen power station
   –  Water station on solar power,
      recycling possibilities	
  




                                         16
Smart Cities
  Houses



               17
Smart Home




             18
Energy & Visualization
•  What is it:
   –  Smart meters, energy monitoring, remote control of home devices
•  Examples:
   –    SmartSync meters
   –    Nuon eManager
   –    AT&T Digital Life
   –    Transparant Samsung Smart Window




                                                                        19
Cell-All
•  What is it:
   –  Recognition of dangerous, deadly
      gasses and chemicals in the air
   –  Gives automatic alerts when needed


•  Used technology:
   –  Sensors that measure the
      concentration of different chemicals


•  Created by:
   –  Homeland Security, NASA, Synkera,
      Qualcomm, NC4




                                             20
Smart Cities
Transport & Infrastructure



                             21
Smart Cars - Google’s Self-Driving Car
•  What is it:
   –  Knight Rider IRL
   –  Cars that are connected with
      the environment and can
      communicate with other
      vehicles
   –  Can drive autonomously


•  Used technology:
   –  Many different sensors
      (proximity, accelerometer,
      GPS, radars, etc)




                                         22
Personal & Public Transport
•  Examples:
   –  Wi-Fly
   –  MIT Media Lab CityCar (car on demand)
   –  PRT (personal rapid transit systems)




                                              23
Smart Transport - Benefits
•    Reduced accident rates
•    Less traffic / jams
•    Reduce energy consumption (lowered emissions)
•    Improved productivity and on board entertainment




                                                        24
Infrastructure sensors

•  Examples:
   –  Smart cameras that react on
      sounds and movement. Can
      recognize specific sounds (e.g.
      gunfire, scream, etc.).
   –  Sensors in road / traffic cameras.
      Can detect traffic congestions.
   –  Sensors in bridges and locks.
      Information when open and
      closed for water / road transport
   –  Sensors in buoys, measuring
      temperature, water height, etc, as
      well as alerting when needed



                                           25
Smart Cities
   Robots



               26
For elderly, handicapped & security
•  What is it:
   –  Remote health access, alert
      service, contact with family
   –  Telepresence
   –  Help with daily shores,
      improving living quality (air
      refreshing, cleaning, etc.)


•  Examples:
   –  Carebot
   –  iRobot
   –  Willow Garage




                                      27
Robot Swarms

•  What is it:
   –  Groups of robots that do tasks more
      efficiently and in a fundamentally
      different way than individually
   –  Swarms can cover large grounds
      and communicate with each other
   –  Will be especially interesting with
      nanobots


•  Examples:
   –  James McLurkin (Rice University)
   –  SMAVNET (Switzerland)




                                            28
Smart Cities
  Tracking



               29
Object tracking
•  What is it:
   –  Tags that can be added to
      objects, food, animals or people
      to track their whereabouts
   –  E.g: keys, wallet, mobile, bags


•  Used technology:
   –  RFID tags
   –  NFC


•  Examples:
   –  Touchatag
   –  ZigBee



                                         30
People Tracking

•  What is it:
   –  Tracking sensors for children,
      elderly (e.g. dementia) and pets


•  Used technology:
   –  RFID tags
   –  GPS


•  Examples:
   –  Amber Alert GPS
   –  WorldTracker




                                         31
Smart Cities
  Clothes



               32
Team Lab interactive Hanger (Japan)
•  What is it:
   –  Digital interactive hangers with
      RFID tags
   –  Interact with digital displays above
      products, triggering content when a
      hanger is picked up
   –  Logs details and aggregates data
      about popularity and effectiveness
      of its positioning


•  Used technology:
   –  RFID
   –  TV screens connected with a
      computer



                                             33
Smart Clothes (Georgia Tech)
•  What is it:
   –    Uses optical fibers to detect bullet wounds
   –    Medical Monitoring (Disease & Infant)
   –    Athletics and Biofeedback
   –    Police, Fire and Military Uses


•  Used technology:
   –  Sensing devices (vital signs, oxygen and gas
      levels, sound, temperature)




                                                      34
Clothes = Media (thousands ofdress lights)
           Case: Wearable LEDs LED



 •  What:	
  	
  
      –  The	
  dress	
  is	
  made	
  with	
  
         2mm	
  by	
  2mm	
  LEDs	
  woven	
  
         into	
  a	
  silk	
  chiffon	
  and	
  
         organza	
  crinoline	
  fabrics.	
  
         This	
  makes	
  the	
  dress	
  more	
  
         flowing	
  and	
  wearable.	
  	
  
 •  Used	
  technology:	
  
      –  24.000	
  LEDs	
  	
  
      –  Powered	
  by	
  iPod	
  baEeries	
  
Smart Cities
   Bodies



               36
Mobile Health Sensors/Quantified Self
•    Heart rate
                                People as Sensors
•    Body temperature
•    Blood pressure             Real-time Lifelogging and
•    Cholesterol                Sharing it on Social Media
•    Sugar
•    Sleep                      Aggregated and
•    Movement                   Anonymous data will be
                                input for Open
•    Chemicals in surrounding
                                Innovation and Science
•    Outside temperature
•    Presence of people         Speedy detection of
•    DNA                        Pandemics (decentralized
•    Brain                      crowdsourced)
                                                         37
Examples: Fitness / Running trackers
                                   Basis
FitBit                             Band
Ultra
           Nike+




                              Jawbone UP


              iHome Fitness
                 Evolved
                Headphones

                                           38
Examples: Self tracking




Withings


                          Zeo Sleep Manager
           iBGStar


                                              39
Spiroscout Mobile Diary (Asthmapolis)
•  Used for:
   –  Asthma tracking &
      managing
•  Used technology:
   –  Inhaler	
  tracking	
  device	
  
      (see	
  image	
  below)	
  
•  Result:
   –  Asthma	
  mapping	
  and	
  
      idenKfiable	
  causes	
  




                                          40
Helius smart pills (Proteus)
•  Used for:
   –    Vital Signs
   –    Sleep patterns
   –    Physical activity
   –    Stress levels


•  Used technology:
   –  Chip	
  in	
  a	
  small	
  ingesKble	
  pill




                                                      41
NeuroSky & Necomimi

•  Used for:
   –  Controlling and training your
      brainwave
   –  Showing attention and
      meditation levels of a brain


•  Other initiative:
   –  Necomimi (Neurowear)
   –  Turns brain signals from
      emotions into visible actions
   –  For example: rising when
      focused or drop down when
      relaxed



                                      42
Transcranial Direct Current Stimulation

•  How TDCS works:
  –  Electrical brain stimulation
     current is delivered through EEG
     electrodes placed on the head
  –  Speeds up learning (50% faster
     in some occasions) or achieve a
     state of creative FLOW using
     GoFlow product	
  




                                          43
The Future: Tricorder




30-1-2012   Singularity University      44
What can we learn from this?

•  Higher evolved Experiencing (the NOW) and
   Remembering (the PAST). The latter will be outsourced by
   technology.

•  We become more intuitive and (delayed) reflective/
   rational at the same time.

•  Assumption: The integration will be a seamless, automatic
   and implicit instead of explicit and interruptive >>> life
  becomes more      natural, organic, creative and
  flow
                                                         45
We Make The Invisible
  Visible and Social

Planned Serendipity and
     Synchronicity
                         46
Internet of Things

     Key Enabler of
Intention Economy / VRM
                        47
Take away

“Man knows himself only to the extent that
  he knows the world; he becomes aware
    of himself only within the world, and
  aware of the world only within himself.”

   “Every object, well contemplated,
  opens up a new organ of perception
          within us.” (Goethe)
                                        48
We will become more of
ourselves (creative, bottom up,
  purpose, hyper individual,
  intrinsic motivation, pure,
          connected)


       Burning Man           49
Yuri van Geest
Singularity University – MoMo –
Quantified Self Europe – TEDx
Amsterdam – Topteam Creative
Industry – Mobile Clicks

Twitter: @vangeest
+31 6 113 19 290
Yuri.vangeest@singularityu.org
                                  50

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Internet of Things, Quantified Self and Smart Cities in the context of Singularity and other Big Picture Trends

  • 1. The Internet of Things (Quantified Self, IoT, Smart Cities, Smart Cars, Smart Clothes) May, 2012 Yuri van Geest Quantified Self Europe Singularity University – NL Ambassador Vodafone Mobile Clicks TEDx 1
  • 2. Agenda •  Big Picture •  Internet of Things –  Houses, Transport & Infrastructure, Robots, Tracking, Clothes, Bodies 2
  • 4. Power, Knowledge & Globalization Religion & Church (< 1500) Nations (1500-1800) Multinationals (1800-2000) Individual & Social network (> 2000) •  Social Media / Mobile Internet / DNA Profile / DIY Bio / Neuro Profiles / Urban Farming (DIY Food) / Solar Energy / 3D Printers / Robots / Claytronics / Nanofactories / Self Health & Education / Smart Cities & the Internet of Things 4
  • 5. Globalization of Individuals & Groups •  Increased Empowerment / DIY •  From Making Digital Products to Material (3D Printers) and Biological (DNA printer) Products •  Strong Rise of Startup Culture due to Convergence / Singularity 5
  • 6.
  • 7. Evolution: More openness •  Blogs (2003) / Typepad •  Photos (2004) / Flickr •  Videos (2005) / YouTube •  Tweets (2007) / Twitter •  Location (2009) / FourSquare •  Personal Health Data (2011) / Quantified Self •  Smart Cities (2013?) / Internet of Things •  DNA (2015?) / Nanopore / Life / Halcyon Molecular •  Brain (2016?) / OmNeuron / NeuroSky / Emotiv / Interaxon From the Outside World to our Inside Worlds/Bodies 7
  • 8. We Make The Invisible Visible and Social Planned Serendipity 8
  • 10. 13-3-2012 Online Tuesday 10
  • 11. Every Body / Thing / Object Will Become an Open Platform with an Open API (in the end) 11
  • 12. Key developments Everything is connected (internet, sensor networks, objects) Open data (API’s; government, infrastructure, health) Apps for everything (in cities, at home, in cars, etc.) 12
  • 13. Benefits Optimization / Productivity / Efficiency Effectiveness Collaboration / Cooperation Prevention (Self Diagnosing & Healing Systems) Scientific Research (Open Data, Big Data) 13
  • 15. U-City Songdo (Z-Korea, 2014) •  What is it: –  City with interconnected services (health, school, traffic, sports, shopping, home, (disaster) alerts, security, etc.) –  65.000 residents, 300.000 work spaces, Business Hub •  Used technology: –  Wireless (WiFi, bluetooth) –  RFID tags, NFC 15
  • 16. Masdar City (Abu Dhabi, 2020) •  What is it: –  Fully self-sufficient city (CO2 neutral, no waste) –  50.000 res., 1.500 companies –  No cars allowed, unmanned public transport instead •  Used technology: –  Sustainable green energy: solar, wind, hydrogen power station –  Water station on solar power, recycling possibilities   16
  • 17. Smart Cities Houses 17
  • 19. Energy & Visualization •  What is it: –  Smart meters, energy monitoring, remote control of home devices •  Examples: –  SmartSync meters –  Nuon eManager –  AT&T Digital Life –  Transparant Samsung Smart Window 19
  • 20. Cell-All •  What is it: –  Recognition of dangerous, deadly gasses and chemicals in the air –  Gives automatic alerts when needed •  Used technology: –  Sensors that measure the concentration of different chemicals •  Created by: –  Homeland Security, NASA, Synkera, Qualcomm, NC4 20
  • 21. Smart Cities Transport & Infrastructure 21
  • 22. Smart Cars - Google’s Self-Driving Car •  What is it: –  Knight Rider IRL –  Cars that are connected with the environment and can communicate with other vehicles –  Can drive autonomously •  Used technology: –  Many different sensors (proximity, accelerometer, GPS, radars, etc) 22
  • 23. Personal & Public Transport •  Examples: –  Wi-Fly –  MIT Media Lab CityCar (car on demand) –  PRT (personal rapid transit systems) 23
  • 24. Smart Transport - Benefits •  Reduced accident rates •  Less traffic / jams •  Reduce energy consumption (lowered emissions) •  Improved productivity and on board entertainment 24
  • 25. Infrastructure sensors •  Examples: –  Smart cameras that react on sounds and movement. Can recognize specific sounds (e.g. gunfire, scream, etc.). –  Sensors in road / traffic cameras. Can detect traffic congestions. –  Sensors in bridges and locks. Information when open and closed for water / road transport –  Sensors in buoys, measuring temperature, water height, etc, as well as alerting when needed 25
  • 26. Smart Cities Robots 26
  • 27. For elderly, handicapped & security •  What is it: –  Remote health access, alert service, contact with family –  Telepresence –  Help with daily shores, improving living quality (air refreshing, cleaning, etc.) •  Examples: –  Carebot –  iRobot –  Willow Garage 27
  • 28. Robot Swarms •  What is it: –  Groups of robots that do tasks more efficiently and in a fundamentally different way than individually –  Swarms can cover large grounds and communicate with each other –  Will be especially interesting with nanobots •  Examples: –  James McLurkin (Rice University) –  SMAVNET (Switzerland) 28
  • 29. Smart Cities Tracking 29
  • 30. Object tracking •  What is it: –  Tags that can be added to objects, food, animals or people to track their whereabouts –  E.g: keys, wallet, mobile, bags •  Used technology: –  RFID tags –  NFC •  Examples: –  Touchatag –  ZigBee 30
  • 31. People Tracking •  What is it: –  Tracking sensors for children, elderly (e.g. dementia) and pets •  Used technology: –  RFID tags –  GPS •  Examples: –  Amber Alert GPS –  WorldTracker 31
  • 32. Smart Cities Clothes 32
  • 33. Team Lab interactive Hanger (Japan) •  What is it: –  Digital interactive hangers with RFID tags –  Interact with digital displays above products, triggering content when a hanger is picked up –  Logs details and aggregates data about popularity and effectiveness of its positioning •  Used technology: –  RFID –  TV screens connected with a computer 33
  • 34. Smart Clothes (Georgia Tech) •  What is it: –  Uses optical fibers to detect bullet wounds –  Medical Monitoring (Disease & Infant) –  Athletics and Biofeedback –  Police, Fire and Military Uses •  Used technology: –  Sensing devices (vital signs, oxygen and gas levels, sound, temperature) 34
  • 35. Clothes = Media (thousands ofdress lights) Case: Wearable LEDs LED •  What:     –  The  dress  is  made  with   2mm  by  2mm  LEDs  woven   into  a  silk  chiffon  and   organza  crinoline  fabrics.   This  makes  the  dress  more   flowing  and  wearable.     •  Used  technology:   –  24.000  LEDs     –  Powered  by  iPod  baEeries  
  • 36. Smart Cities Bodies 36
  • 37. Mobile Health Sensors/Quantified Self •  Heart rate People as Sensors •  Body temperature •  Blood pressure Real-time Lifelogging and •  Cholesterol Sharing it on Social Media •  Sugar •  Sleep Aggregated and •  Movement Anonymous data will be input for Open •  Chemicals in surrounding Innovation and Science •  Outside temperature •  Presence of people Speedy detection of •  DNA Pandemics (decentralized •  Brain crowdsourced) 37
  • 38. Examples: Fitness / Running trackers Basis FitBit Band Ultra Nike+ Jawbone UP iHome Fitness Evolved Headphones 38
  • 39. Examples: Self tracking Withings Zeo Sleep Manager iBGStar 39
  • 40. Spiroscout Mobile Diary (Asthmapolis) •  Used for: –  Asthma tracking & managing •  Used technology: –  Inhaler  tracking  device   (see  image  below)   •  Result: –  Asthma  mapping  and   idenKfiable  causes   40
  • 41. Helius smart pills (Proteus) •  Used for: –  Vital Signs –  Sleep patterns –  Physical activity –  Stress levels •  Used technology: –  Chip  in  a  small  ingesKble  pill 41
  • 42. NeuroSky & Necomimi •  Used for: –  Controlling and training your brainwave –  Showing attention and meditation levels of a brain •  Other initiative: –  Necomimi (Neurowear) –  Turns brain signals from emotions into visible actions –  For example: rising when focused or drop down when relaxed 42
  • 43. Transcranial Direct Current Stimulation •  How TDCS works: –  Electrical brain stimulation current is delivered through EEG electrodes placed on the head –  Speeds up learning (50% faster in some occasions) or achieve a state of creative FLOW using GoFlow product   43
  • 44. The Future: Tricorder 30-1-2012 Singularity University 44
  • 45. What can we learn from this? •  Higher evolved Experiencing (the NOW) and Remembering (the PAST). The latter will be outsourced by technology. •  We become more intuitive and (delayed) reflective/ rational at the same time. •  Assumption: The integration will be a seamless, automatic and implicit instead of explicit and interruptive >>> life becomes more natural, organic, creative and flow 45
  • 46. We Make The Invisible Visible and Social Planned Serendipity and Synchronicity 46
  • 47. Internet of Things Key Enabler of Intention Economy / VRM 47
  • 48. Take away “Man knows himself only to the extent that he knows the world; he becomes aware of himself only within the world, and aware of the world only within himself.” “Every object, well contemplated, opens up a new organ of perception within us.” (Goethe) 48
  • 49. We will become more of ourselves (creative, bottom up, purpose, hyper individual, intrinsic motivation, pure, connected) Burning Man 49
  • 50. Yuri van Geest Singularity University – MoMo – Quantified Self Europe – TEDx Amsterdam – Topteam Creative Industry – Mobile Clicks Twitter: @vangeest +31 6 113 19 290 Yuri.vangeest@singularityu.org 50