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September 4, 2014 
Ann Arbor, MI USA 
Slides: http://slideshare.net/LaBlogga 
Melanie Swan 
m@melanieswan.com 
Sensor Ubiquity: 
Blockchain Tech & Automotive-Quantified Self 
Integrated Sensor Applications 
Image credit: M. Ghezel
About Melanie Swan 
 Technology Philosopher and Startup Founder 
 Instructor at Singularity University, Affiliate 
Scholar at IEET, Invited Contributor to EDGE 
 Education: MA Candidate Kingston University 
London and Université Paris 8, MBA Finance, 
Wharton, University of Pennsylvania; BA 
French/Economics, Georgetown University 
 Corporate Experience: Fidelity, JP Morgan, 
iPass, RHK/Ovum, Arthur Andersen 
 Sample publications: 
 Swan, M. The Quantified Self: Fundamental Disruption in Big Data Science. 
 Swan, M. Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the 
Quantified Self 2.0. J Sens Actuator Netw 2012, 1(3), 217-253. 
 Swan, M. Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified 
Self, and the Participatory Biocitizen. J Pers Med 2012, 2(3), 93-118. 
 Swan, M. Steady advance of stem cell therapies. Rejuvenation Res 2011, Dec;14(6):699-704. 
 Swan, M. Emerging Patient-driven Health Care Models: an Examination of Health Social Networks, 
Consumer Personalized Medicine, and Quantified Self-tracking. Int J Environ Res Public Health 2009, 2, 
492-525. 
Source: http://melanieswan.com/publications.htm 
September 4, 2014 
Automotive-QS Sensors 1
Agenda 
 Introduction to Quantified Self 
 Automotive-QS Sensor Top 5 Killer Apps 
 Fatigue Detection 
 Real-time Parking and Assistance 
 Anger/Stress Reduction 
 Keyless Authentication 
 DIY Diagnostics 
 Conclusion 
 Risks 
September 4, 2014 
Automotive-QS Sensors 
vitalconnect 
2
What is the Quantified Self? 
September 4, 2014 
Automotive-QS Sensors 
3 
 Individual engaged in tracking any kind 
of biological, physical, or behavioral 
data about him/herself 
 Key assumption: access to information 
means the ability to take action 
 Self-tracking goal: optimality and 
quality-of-life-improvement (vs. 
pathology resolution) 
 Seeking highly personalized intervention for 
sleep quality, depression, low energy, 
cognitive alertness, productivity 
Source: Swan, M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological 
Discovery. Big Data June 2013, 1(2): 85-99.
Quantified Self Global Community 
 “Self knowledge through numbers” 
 Show-and-tell meetups (100+), videos, 
and conferences 
1. What did you do? 
2. How did you do it? 
3. What did you learn? 
 Quantified data acquisition through 
technology (i.e.; wearable sensors, 
mobile apps, other QS devices) 
September 4, 2014 
Automotive-QS Sensors 
4 
http://quantifiedself.com/ 
Source: Swan, M. Overview of Crowdsourced Health Research Studies. 2012.
Increasingly continuous and automated data collection 
Smartphone, Fitbit, Smartwatch (Pebble), Electronic T-shirt (Carre), Scanaflo Urinalysis1 
Smartring (ElectricFoxy), Electronic tattoos (mc10), $1 blood API 
September 4, 2014 
Automotive-QS Sensors 
(Sano Intelligence), Continuous Monitors (Medtronic) 
5 
QS Sensor Mania! Wearable Electronics 
Source: Swan, M. Sensor Mania! J Sens Actuator Netw 2012. 
1Glucose, protein, leukocytes, nitrates, blood, bilirubin, urobilinogen, specific gravity, and pH urinalysis
Types of Quantified Self Measures 
 Physical Activities 
 Miles, steps, calories, repetitions, sets, METs1 
 Diet and Nutrition 
 Calories consumed, carbs, fat, protein, specific ingredients, glycemic index, 
satiety, portions, supplement doses, tastiness, cost, location 
 Psychological, Mental, and Cognitive States and Traits 
 Mood, happiness, irritation, emotion, anxiety, esteem, depression, confidence 
 IQ, alertness, focus, selective/sustained/divided attention, reaction, memory, 
verbal fluency, patience, creativity, reasoning, psychomotor vigilance 
 Environmental Variables 
 Location, architecture, weather, noise, pollution, clutter, light, season 
 Situational Variables 
 Context, situation, gratification of situation, time of day, day of week 
 Social Variables 
 Influence, trust, charisma, karma, current role/status in the group or social network 
September 4, 2014 
Automotive-QS Sensors 
6 
1METs = Metabolic equivalents Source: http://measuredme.com/2012/10/building-that-perfect- 
quantified-self-app-notes-to-developers-and-qs-community-html/
The Quantified Self is Mainstream 
September 4, 2014 
Automotive-QS Sensors 
7 
 QS Device (Fitbit, Glass, etc.) Market: $5 bn by 20161 
 Self-tracking statistics (Pew Research Center) 
 60% US adults track weight, diet, or exercise 
 33% US adults monitor blood sugar, blood pressure, 
headaches, or sleep patterns 
 9% receive text message health alerts 
 40,000 smartphone health applications 
 QS thought leadership 
 Press : BBC, Forbes, and Vanity Fair 
 Electronics show focus at CES 2013 
 Health 2.0: “500+ companies making 
self-management tools; VC funding up 20%” 
1Gartner, 2014, http://www.nbcnews.com/tech/innovation/data-overload-quantified-self-really-future-n189596 
Source: Swan, M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. 
Big Data June 2013, 1(2): 85-99.
Quantified Self - Ann Arbor 
September 4, 2014 
Automotive-QS Sensors 
8 
Contact: Spencer Covey 
(SpencerCovey@Gmail.com) 
http://www.meetup.com/Quantified-Self-Ann-Arbor/
Quantified Self - Tokyo 
September 4, 2014 
Automotive-QS Sensors 
Contact: Takashi Kido, RIKEN 
(Kido.Takashi@gmail.com) 
9 
http://qs-tokyo.com/ 
http://www.meetup.com/Quantified-Self-Tokyo/
Agenda 
 Introduction to Quantified Self 
 Automotive-QS Sensor Top 5 Killer Apps 
 Fatigue Detection 
 Real-time Parking and Assistance 
 Anger/Stress Reduction 
 Keyless Authentication 
 DIY Diagnostics 
 Conclusion 
 Risks 
September 4, 2014 
Automotive-QS Sensors 
vitalconnect 
10
Killer App #1: Fatigue Detection 
September 4, 2014 
Automotive-QS Sensors 
11 
 20% accidents fatigue-related1 
 Heart: ECG captures Heart Rate 
Variability 
 Heart slowing is drowsiness warning 
 QS body-based wearable sensor or belt-based 
sensors (Plessy Semiconductor2) 
 Breathing: Respiration sensor 
measures cardiopulmonary activity 
 Variation is early warning signal 
 QS body-based wearable sensor or seat-cover 
based sensors (Harken2) 
 Posture Sensor (Lumo Back) 
1Royal Society for the Prevention of Accidents. Driver Fatigue and Road Accidents: A Literature Review and 
Position Paper. February 2001. http://www.rospa.com/roadsafety/info/fatigue.pdf 
Also per Feng J and & Donmez B, Designing Feedback to Induce Sager Driving Behaviors, 2013.
Killer App #2: Real-time Parking/Assistance 
September 4, 2014 
Automotive-QS Sensors 
12 
 Real-time Parking Assistance 
 8-74% city congestion is looking for parking1 
 Real-time parking services 
 Vehicle navigation indicates available spots 
 Automated reservation, payment, access 
 Real-time Road-side Assistance 
 Crash impact alert system 
 Medical: Automatic first responder alert 
 Service: Automatic vendor quote response 
 Integration of multiple data streams 
 Auto sensor data, QS data, smartcity data, 
vendor network, community/group data 
1Shoup, D., Cruising for Parking, Transport Policy, 2006, http://mashable.com/2011/04/13/smart-parking-tech/
Killer App #3: Anger/Stress-Reduction 
September 4, 2014 
Automotive-QS Sensors 
13 
 QS wearable stress sensors linked to nav system 
 Respiration, blood pressure, heart rate, GSR, glucose 
 Smart steering wheel (Toyota ECG Steering Wheel1) 
 Heart attack detection / warning,2 automatic daily health check 
sent to personal blockchain EMR / QS data portal 
 Intervention: breathing exercises, music, seat vibration 
 Stress reduction “Leave on time” app 
 Distracted driving active safety key stressor is being late 
 Smarthome alert (calendar, traffic), drive stress tracking (time, 
speed, braking, GPS), smartcity data (traffic, routing, parking) 
 Incentive: linked health and auto insurance discounts 
1http://www.psfk.com/2011/08/toyotas-ecg-steering-wheel-monitors-your-heart-rate-as-you-drive.html#!bOj0Qx 
2US DOT, The Contribution of Medical Conditions to Crashes, 2009, http://www-nrd.nhtsa.dot.gov/Pubs/811219.pdf
Killer App #4: Keyless Authentication 
 Target markets 
 Auto rental 
 Additional access 
mode for personal 
autos 
September 4, 2014 
Automotive-QS Sensors 
14 
 Improve safe controlled auto access 
 Digital authentication access system 
 Smartphone/smartwatch Bluetooth app 
 One-time/short-term automated access 
 Tiered security levels (blockchain, fingerprint 
reading, QR code, real-time confirmation) 
 Auto tracking and location-based services 
Example: Getaround Connect 
Source: Swan et. al.; Smartphone-based Identity Authentication Platform; presented at Launch 
Hackathon; San Francisco CA March 2013; special acknowledgement to Mark Adams.
Killer App #5: DIY Diagnostics 
September 4, 2014 
Automotive-QS Sensors 
15 
 Automatic vehicle diagnostics app 
 On-board diagnostics (OBD) port/Bluetooth to phone/watch/cloud 
 Consumer OBD access (like DIYscience, DIYhealth) 
 Mobile app for tracking and alerts, graphical scorecard 
 Link to dealer/mechanic CRM and service quotes 
 Pro-active cost-saving: improved consumer action-taking 
for preventive maintenance and vehicle safety
Agenda 
 Introduction to Quantified Self 
 Automotive-QS Sensor Top 5 Killer Apps 
 Fatigue Detection 
 Real-time Parking and Assistance 
 Anger/Stress Reduction 
 Keyless Authentication 
 DIY Diagnostics 
 Conclusion 
 Risks 
September 4, 2014 
Automotive-QS Sensors 
vitalconnect 
16
Auto-QS Sensors Conclusion 
 Automotive Industry: numerous sweeping 
and interlinked changes ahead 
 Denser cities (5 bn in 2030), increased # cars 
 Self-driving cars (20301) 
 Fungible personal transport 
 Uber, Lyft, Getaround, RelayRides 
 Electric vehicles, biofuel, alternative fuel 
 Suggests… 
 New classes of transportation solutions required 
 Interactive ‘Kirobo’ auto, not ‘dumb conveyance’ 
 Rethinking privacy and personal data rights 
 Blockchain technology to allocate, validate, 
access, and track transportation resources 
September 4, 2014 
Automotive-QS Sensors 
17 
Kirobo Robot 
Driver? 
1“Emerging Technologies: Autonomous Cars—Not If, But When,” IHS Automotive, 2014, 
http://press.ihs.com/press-release/automotive/self-driving-cars-moving-industrys-drivers-seat
September 4, 2014 
Ann Arbor, MI USA 
Slides: http://slideshare.net/LaBlogga 
Melanie Swan 
m@melanieswan.com 
Sensor Ubiquity: 
Blockchain Tech & Automotive-Quantified Self 
Integrated Sensor Applications 
Image credit: M. Ghezel

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Sensor Ubiquity: Automotive-Quantified Self Integrated Sensor Applications

  • 1. September 4, 2014 Ann Arbor, MI USA Slides: http://slideshare.net/LaBlogga Melanie Swan m@melanieswan.com Sensor Ubiquity: Blockchain Tech & Automotive-Quantified Self Integrated Sensor Applications Image credit: M. Ghezel
  • 2. About Melanie Swan  Technology Philosopher and Startup Founder  Instructor at Singularity University, Affiliate Scholar at IEET, Invited Contributor to EDGE  Education: MA Candidate Kingston University London and Université Paris 8, MBA Finance, Wharton, University of Pennsylvania; BA French/Economics, Georgetown University  Corporate Experience: Fidelity, JP Morgan, iPass, RHK/Ovum, Arthur Andersen  Sample publications:  Swan, M. The Quantified Self: Fundamental Disruption in Big Data Science.  Swan, M. Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0. J Sens Actuator Netw 2012, 1(3), 217-253.  Swan, M. Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen. J Pers Med 2012, 2(3), 93-118.  Swan, M. Steady advance of stem cell therapies. Rejuvenation Res 2011, Dec;14(6):699-704.  Swan, M. Emerging Patient-driven Health Care Models: an Examination of Health Social Networks, Consumer Personalized Medicine, and Quantified Self-tracking. Int J Environ Res Public Health 2009, 2, 492-525. Source: http://melanieswan.com/publications.htm September 4, 2014 Automotive-QS Sensors 1
  • 3. Agenda  Introduction to Quantified Self  Automotive-QS Sensor Top 5 Killer Apps  Fatigue Detection  Real-time Parking and Assistance  Anger/Stress Reduction  Keyless Authentication  DIY Diagnostics  Conclusion  Risks September 4, 2014 Automotive-QS Sensors vitalconnect 2
  • 4. What is the Quantified Self? September 4, 2014 Automotive-QS Sensors 3  Individual engaged in tracking any kind of biological, physical, or behavioral data about him/herself  Key assumption: access to information means the ability to take action  Self-tracking goal: optimality and quality-of-life-improvement (vs. pathology resolution)  Seeking highly personalized intervention for sleep quality, depression, low energy, cognitive alertness, productivity Source: Swan, M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data June 2013, 1(2): 85-99.
  • 5. Quantified Self Global Community  “Self knowledge through numbers”  Show-and-tell meetups (100+), videos, and conferences 1. What did you do? 2. How did you do it? 3. What did you learn?  Quantified data acquisition through technology (i.e.; wearable sensors, mobile apps, other QS devices) September 4, 2014 Automotive-QS Sensors 4 http://quantifiedself.com/ Source: Swan, M. Overview of Crowdsourced Health Research Studies. 2012.
  • 6. Increasingly continuous and automated data collection Smartphone, Fitbit, Smartwatch (Pebble), Electronic T-shirt (Carre), Scanaflo Urinalysis1 Smartring (ElectricFoxy), Electronic tattoos (mc10), $1 blood API September 4, 2014 Automotive-QS Sensors (Sano Intelligence), Continuous Monitors (Medtronic) 5 QS Sensor Mania! Wearable Electronics Source: Swan, M. Sensor Mania! J Sens Actuator Netw 2012. 1Glucose, protein, leukocytes, nitrates, blood, bilirubin, urobilinogen, specific gravity, and pH urinalysis
  • 7. Types of Quantified Self Measures  Physical Activities  Miles, steps, calories, repetitions, sets, METs1  Diet and Nutrition  Calories consumed, carbs, fat, protein, specific ingredients, glycemic index, satiety, portions, supplement doses, tastiness, cost, location  Psychological, Mental, and Cognitive States and Traits  Mood, happiness, irritation, emotion, anxiety, esteem, depression, confidence  IQ, alertness, focus, selective/sustained/divided attention, reaction, memory, verbal fluency, patience, creativity, reasoning, psychomotor vigilance  Environmental Variables  Location, architecture, weather, noise, pollution, clutter, light, season  Situational Variables  Context, situation, gratification of situation, time of day, day of week  Social Variables  Influence, trust, charisma, karma, current role/status in the group or social network September 4, 2014 Automotive-QS Sensors 6 1METs = Metabolic equivalents Source: http://measuredme.com/2012/10/building-that-perfect- quantified-self-app-notes-to-developers-and-qs-community-html/
  • 8. The Quantified Self is Mainstream September 4, 2014 Automotive-QS Sensors 7  QS Device (Fitbit, Glass, etc.) Market: $5 bn by 20161  Self-tracking statistics (Pew Research Center)  60% US adults track weight, diet, or exercise  33% US adults monitor blood sugar, blood pressure, headaches, or sleep patterns  9% receive text message health alerts  40,000 smartphone health applications  QS thought leadership  Press : BBC, Forbes, and Vanity Fair  Electronics show focus at CES 2013  Health 2.0: “500+ companies making self-management tools; VC funding up 20%” 1Gartner, 2014, http://www.nbcnews.com/tech/innovation/data-overload-quantified-self-really-future-n189596 Source: Swan, M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data June 2013, 1(2): 85-99.
  • 9. Quantified Self - Ann Arbor September 4, 2014 Automotive-QS Sensors 8 Contact: Spencer Covey (SpencerCovey@Gmail.com) http://www.meetup.com/Quantified-Self-Ann-Arbor/
  • 10. Quantified Self - Tokyo September 4, 2014 Automotive-QS Sensors Contact: Takashi Kido, RIKEN (Kido.Takashi@gmail.com) 9 http://qs-tokyo.com/ http://www.meetup.com/Quantified-Self-Tokyo/
  • 11. Agenda  Introduction to Quantified Self  Automotive-QS Sensor Top 5 Killer Apps  Fatigue Detection  Real-time Parking and Assistance  Anger/Stress Reduction  Keyless Authentication  DIY Diagnostics  Conclusion  Risks September 4, 2014 Automotive-QS Sensors vitalconnect 10
  • 12. Killer App #1: Fatigue Detection September 4, 2014 Automotive-QS Sensors 11  20% accidents fatigue-related1  Heart: ECG captures Heart Rate Variability  Heart slowing is drowsiness warning  QS body-based wearable sensor or belt-based sensors (Plessy Semiconductor2)  Breathing: Respiration sensor measures cardiopulmonary activity  Variation is early warning signal  QS body-based wearable sensor or seat-cover based sensors (Harken2)  Posture Sensor (Lumo Back) 1Royal Society for the Prevention of Accidents. Driver Fatigue and Road Accidents: A Literature Review and Position Paper. February 2001. http://www.rospa.com/roadsafety/info/fatigue.pdf Also per Feng J and & Donmez B, Designing Feedback to Induce Sager Driving Behaviors, 2013.
  • 13. Killer App #2: Real-time Parking/Assistance September 4, 2014 Automotive-QS Sensors 12  Real-time Parking Assistance  8-74% city congestion is looking for parking1  Real-time parking services  Vehicle navigation indicates available spots  Automated reservation, payment, access  Real-time Road-side Assistance  Crash impact alert system  Medical: Automatic first responder alert  Service: Automatic vendor quote response  Integration of multiple data streams  Auto sensor data, QS data, smartcity data, vendor network, community/group data 1Shoup, D., Cruising for Parking, Transport Policy, 2006, http://mashable.com/2011/04/13/smart-parking-tech/
  • 14. Killer App #3: Anger/Stress-Reduction September 4, 2014 Automotive-QS Sensors 13  QS wearable stress sensors linked to nav system  Respiration, blood pressure, heart rate, GSR, glucose  Smart steering wheel (Toyota ECG Steering Wheel1)  Heart attack detection / warning,2 automatic daily health check sent to personal blockchain EMR / QS data portal  Intervention: breathing exercises, music, seat vibration  Stress reduction “Leave on time” app  Distracted driving active safety key stressor is being late  Smarthome alert (calendar, traffic), drive stress tracking (time, speed, braking, GPS), smartcity data (traffic, routing, parking)  Incentive: linked health and auto insurance discounts 1http://www.psfk.com/2011/08/toyotas-ecg-steering-wheel-monitors-your-heart-rate-as-you-drive.html#!bOj0Qx 2US DOT, The Contribution of Medical Conditions to Crashes, 2009, http://www-nrd.nhtsa.dot.gov/Pubs/811219.pdf
  • 15. Killer App #4: Keyless Authentication  Target markets  Auto rental  Additional access mode for personal autos September 4, 2014 Automotive-QS Sensors 14  Improve safe controlled auto access  Digital authentication access system  Smartphone/smartwatch Bluetooth app  One-time/short-term automated access  Tiered security levels (blockchain, fingerprint reading, QR code, real-time confirmation)  Auto tracking and location-based services Example: Getaround Connect Source: Swan et. al.; Smartphone-based Identity Authentication Platform; presented at Launch Hackathon; San Francisco CA March 2013; special acknowledgement to Mark Adams.
  • 16. Killer App #5: DIY Diagnostics September 4, 2014 Automotive-QS Sensors 15  Automatic vehicle diagnostics app  On-board diagnostics (OBD) port/Bluetooth to phone/watch/cloud  Consumer OBD access (like DIYscience, DIYhealth)  Mobile app for tracking and alerts, graphical scorecard  Link to dealer/mechanic CRM and service quotes  Pro-active cost-saving: improved consumer action-taking for preventive maintenance and vehicle safety
  • 17. Agenda  Introduction to Quantified Self  Automotive-QS Sensor Top 5 Killer Apps  Fatigue Detection  Real-time Parking and Assistance  Anger/Stress Reduction  Keyless Authentication  DIY Diagnostics  Conclusion  Risks September 4, 2014 Automotive-QS Sensors vitalconnect 16
  • 18. Auto-QS Sensors Conclusion  Automotive Industry: numerous sweeping and interlinked changes ahead  Denser cities (5 bn in 2030), increased # cars  Self-driving cars (20301)  Fungible personal transport  Uber, Lyft, Getaround, RelayRides  Electric vehicles, biofuel, alternative fuel  Suggests…  New classes of transportation solutions required  Interactive ‘Kirobo’ auto, not ‘dumb conveyance’  Rethinking privacy and personal data rights  Blockchain technology to allocate, validate, access, and track transportation resources September 4, 2014 Automotive-QS Sensors 17 Kirobo Robot Driver? 1“Emerging Technologies: Autonomous Cars—Not If, But When,” IHS Automotive, 2014, http://press.ihs.com/press-release/automotive/self-driving-cars-moving-industrys-drivers-seat
  • 19. September 4, 2014 Ann Arbor, MI USA Slides: http://slideshare.net/LaBlogga Melanie Swan m@melanieswan.com Sensor Ubiquity: Blockchain Tech & Automotive-Quantified Self Integrated Sensor Applications Image credit: M. Ghezel