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
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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
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vitalconnect
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What is the Quantified Self?
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 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)
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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
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Automotive-QS Sensors
(Sano Intelligence), Continuous Monitors (Medtronic)
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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
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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
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 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
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Contact: Spencer Covey
(SpencerCovey@Gmail.com)
http://www.meetup.com/Quantified-Self-Ann-Arbor/

Quantified Self - Tokyo
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Automotive-QS Sensors
Contact: Takashi Kido, RIKEN
(Kido.Takashi@gmail.com)
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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
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Automotive-QS Sensors
vitalconnect
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Killer App #1: Fatigue Detection
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 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
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 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
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 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
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 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
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 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
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vitalconnect
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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
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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