Sensor Ubiquity: Automotive-Quantified Self Integrated Sensor Applications

September 4, 2014

Ann Arbor, MI USA

Slides: http://slideshare.net/LaBlogga

Melanie [email protected]

Sensor Ubiquity: Blockchain Tech & Automotive-Quantified Self

Integrated Sensor Applications

Image credit: M. Ghezel

September 4, 2014Automotive-QS Sensors 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:

Source: http://melanieswan.com/publications.htm

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.

September 4, 2014Automotive-QS Sensors

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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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.


Smartring (ElectricFoxy), Electronic tattoos (mc10), $1 blood API (Sano Intelligence), Continuous Monitors (Medtronic)

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Smartphone, Fitbit, Smartwatch (Pebble), Electronic T-shirt (Carre), Scanaflo Urinalysis1

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

Increasingly continuous and automated data collection


Types of Quantified Self Measures

71METs = Metabolic equivalents Source: http://measuredme.com/2012/10/building-that-perfect-quantified-self-app-notes-to-developers-and-qs-community-html/

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


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-n189596Source: 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 ([email protected])

http://www.meetup.com/Quantified-Self-Ann-Arbor/


Quantified Self - Tokyo

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Contact: Takashi Kido, RIKEN ([email protected])

http://qs-tokyo.com/http://www.meetup.com/Quantified-Self-Tokyo/


Agenda



Conclusion Risks

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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.pdfAlso 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#!bOj0Qx2US DOT, The Contribution of Medical Conditions to Crashes, 2009, http://www-nrd.nhtsa.dot.gov/Pubs/811219.pdf


Killer App #4: Keyless Authentication

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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 ConnectSource: Swan et. al.; Smartphone-based Identity Authentication Platform; presented at Launch Hackathon; San Francisco CA March 2013; special acknowledgement to Mark Adams.

Target markets Auto rental Additional access

mode for personal autos


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



Conclusion Risks

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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

181“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

Kirobo Robot Driver?

September 4, 2014

Ann Arbor, MI USA

Slides: http://slideshare.net/LaBlogga

Melanie [email protected]

Sensor Ubiquity: Blockchain Tech & Automotive-Quantified Self

Integrated Sensor Applications

Image credit: M. Ghezel