SlideShare a Scribd company logo
1 of 22
Health Sensors & Big Data




                                          Ignite SF
                                      December 4, 2012

                                    Rachel Kalmar
                                rachel@diysensors.com
                                     @grapealope

This talk was presented at Ignite SF, on December 4, 2012.

These slides are a condensed version of a Skillshare Workshop I gave as part of the School of Rock Health, on August 1,
2012.
Ever wake up on the wrong side of the
                                 bed?
Who here has woken up on the wrong side of the bed? You know the feeling all too well -- your alarm goes off, you wonder
what that awful noise is, and suddenly, you’re awake.

Image credit: Alexander and the Terrible, Horrible, No Good, Very Bad Day
There’s an app for that.




                                              Examples: Sleep as Android, Sleep Cycle, Zeo

Well...unsurprisingly, there’s an app for that. Using the accelerometer from your phone the app can determine what stage of
sleep you’re in, and based on this, the best time to wake you up. This is one of an increasing number of examples of how
sensors can improve our everyday lives.

Image credit: Sleep as Android, Sleep Cycle
Source: Cisco

In 2008, the number of things connected to the Internet exceeded the number of people on earth. These things are not just
smartphones and tablets. Increasingly, the objects in our lives can now talk to us.

Image credit: Cisco
And this isn’t just about health, it's also about manufacturing, the auto industry, business, government, science and everyday
life. In the not too distant future, everybody, every thing, and every object will become a communication platform.
Image credit: Yuri Van Geest
Tracking our lives




These things are tracking our lives, giving us data about things we’ve never measured before. In 2014, there will be 400
million of these devices, with a $4 billion market.

Images (clockwise from top): Withings blood pressure tracker, Basis watch, Google Glass, Fitbit, Nike Fuelband
So. Much. Data.




 Image modified from The Economist, “The Data Deluge.” Feb 15, 2010


But what do we do with it? We’re creating EXABYTES of data every day. Even storing this much data is difficult, let alone
making sense of it.

Image credit: The Economist, “The Data Deluge.” Feb 15, 2010
Today




                                                 For geeks

                      Quantitative storytelling
Today, this allows us to do a kind of quantitative storytelling, where we look at the output of our devices as charts and
numbers. If you’re a geek, like me, this is pretty cool. But most people aren’t, and just want the take-home message. The big
question is how do you make this data actionable?

Image credit: Technology Review, June 21, 2011
How can we make data actionable?




                                                                        vi or
                                                                      ha
                                                                    be



                                       data


                                                                    Source: The Missing Piece Meets the Big O, Shel Silverstein


This depends. What questions are you trying to answer? What problem are you trying to solve? We don't want data, we want
concrete actionable suggestions. To do this, it’s useful to take a look at the data ecosystem.

Image credit: The Missing Piece Meets the Big O, Shel Silverstein
user

                                                                                        sensors
                               actions

                                                   data
                                                ecosystem


                                                                                             connect
                                tools



                                                         storage


The data ecosystem includes everything from the user to the data sources, to the connectivity protocol, to how the data is
stored, analyzed, and given back to the user in an actionable way. The starting point is always the user. Why is the user
interested in your device?

Image credit for stick figure: xkcd
Why collect health data?

           user




                    Disease management

There are a number of reasons people want to track their health. For my dad, he uses a blood glucose monitor for disease
management. Other reasons you might track your health might be for remote monitoring, or self-improvement like weight loss,
athletics, sleep.

Image credit: Rock Report: Sensors, Agamatrix
450+ tracking
                devices and apps
If you go to the QS website, you’ll find a collection of > 450 devices and apps for self-tracking.
This is tracking on a very personal level, but we can do tracking on a global level as well.

Image credit: Quantified Self website
Prediction of
           global trends




Using search queries about flu symptoms, Google is able to localize and predict flu outbreaks faster than the CDC.
Connecting geo-located sensors, companies like Asthmopolis take this even a step further, tracking where and when you use
your asthma inhaler.

Image credit: Google
Exponential growth




                                                                                                 Source: Intel

There’s an exponential explosion of the number of devices giving us data, from the personal level to the global level.
The limiting factor here are tools for making this data useful.

Image credit: Intel
Accessing, aggregating, processing the
        tools
                                           data




Of course, you can make your own tools to access, aggregate, and process data coming in from different sources.
Websites like Cosm make this easier, allowing you to connect the output of sensors via their website to control objects in the
physical world.

Image credit: Cosm
How do you make data actionable?
   actions



Have you ever noticed that your mood is affected by the weather? Wouldn't it be great if the lighting in your house could make
sure that you get enough light exposure to ward off the winter blues? This is something we can do now, and new sensors are
opening even more doors.
0   1   1   0   1   0   1   1   0   1   1   0
                                                                                                        1   0   1   1   0   1   1   0   0   1   0   1
                                                                                                        0   1   1   0   0   1   0   1   1   0   1   0
                                                                                                        0   1   0   1   1   0   1   0   1   1   0   1
                                                                                                        1   0   1   0   1   1   0   1   1   0   0   1
                                                                                                        1   1   0   1   1   0   0   1   0   1   1   0
                                                                                                        1   0   0   1   0   1   1   0   1   0   1   1




                    The next wave of sensors...




The next wave of sensors are becoming increasingly wearable, both aesthetically and practically, passively collecting and
analyzing new kinds of data, and disruptive as things like lab-on-a-chip allow healthcare to move to your phone.

Images (clockwise from top): Misfit Wearables’ Shine, Sano Intelligence, Lab on a Chip, mc10
QualcommTricorderXprize.com
These technologies are moving things like the Star Trek medical tricorder from science fiction to science. Companies like
Scanadu and Cellscope have versions of these hand-held triage devices, leveraging your smartphone.

Image credit: Daniel Kraft
DIY sensors




And with the rise of the Maker movement and the hardware revolution, it’s getting easier and easier to make your own sensor
devices. And once you’ve made your own device, crowdfunding platforms like Kickstarter and Indiegogo are making it much
more possible to turn DIY projects into businesses.

Image credit: Make, January 2012
meetup.com/Sensored




                                                                        bit.ly/sensorites

Not only are there more physical tools, but there are a number of virtual and real-world communities, like the Sensored and
Hardware Startup Meetups, where people get together to learn and collaborate.
The future...




                          What will you build?
I’d like to leave you with a challenge, to think about what problems in your life you might be able to solve with access to the
right data. Maybe it’s waking up on the right side of the bed, or maybe it’s something entirely new.

The future will be sensored. The question is: what will you build?
Health Sensors & Big Data




                                        Ignite SF
                                    December 4, 2012

                                  Rachel Kalmar
                              rachel@diysensors.com
                                   @grapealope

Want to learn more? Check out:
     • Rock Health
     • Singularity University / FutureMed
     • Quantified Self
     • Hardware Startup Meetup
     • Sensored Meetup / Discussion group

More Related Content

Viewers also liked

уголок природы
уголок природыуголок природы
уголок природыvirtualtaganrog
 
Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.
Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.
Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.CSCJournals
 
月曜だからデザインパターンでも勉強しよう vol.2 Flyweight
月曜だからデザインパターンでも勉強しよう vol.2 Flyweight月曜だからデザインパターンでも勉強しよう vol.2 Flyweight
月曜だからデザインパターンでも勉強しよう vol.2 FlyweightTakaaki Hirano
 
書こう!正規表現 vol.4 肯定/否定 先読み/戻り読み
書こう!正規表現 vol.4 肯定/否定 先読み/戻り読み書こう!正規表現 vol.4 肯定/否定 先読み/戻り読み
書こう!正規表現 vol.4 肯定/否定 先読み/戻り読みTakaaki Hirano
 
Design Patterns - 03 Composite and Flyweight Pattern
Design Patterns - 03 Composite and Flyweight PatternDesign Patterns - 03 Composite and Flyweight Pattern
Design Patterns - 03 Composite and Flyweight Patterneprafulla
 
Beyond the code - CodeCamp 2016 - Rares Vasilescu
Beyond the code - CodeCamp 2016 - Rares VasilescuBeyond the code - CodeCamp 2016 - Rares Vasilescu
Beyond the code - CodeCamp 2016 - Rares VasilescuRares Vasilescu
 
encryption and hash algorithms
encryption and hash algorithmsencryption and hash algorithms
encryption and hash algorithmsCARMEN ALCIVAR
 

Viewers also liked (9)

уголок природы
уголок природыуголок природы
уголок природы
 
ReferenceLetterCountrywide Energy
ReferenceLetterCountrywide EnergyReferenceLetterCountrywide Energy
ReferenceLetterCountrywide Energy
 
Sociales corrientes marinas
Sociales corrientes marinasSociales corrientes marinas
Sociales corrientes marinas
 
Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.
Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.
Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm.
 
月曜だからデザインパターンでも勉強しよう vol.2 Flyweight
月曜だからデザインパターンでも勉強しよう vol.2 Flyweight月曜だからデザインパターンでも勉強しよう vol.2 Flyweight
月曜だからデザインパターンでも勉強しよう vol.2 Flyweight
 
書こう!正規表現 vol.4 肯定/否定 先読み/戻り読み
書こう!正規表現 vol.4 肯定/否定 先読み/戻り読み書こう!正規表現 vol.4 肯定/否定 先読み/戻り読み
書こう!正規表現 vol.4 肯定/否定 先読み/戻り読み
 
Design Patterns - 03 Composite and Flyweight Pattern
Design Patterns - 03 Composite and Flyweight PatternDesign Patterns - 03 Composite and Flyweight Pattern
Design Patterns - 03 Composite and Flyweight Pattern
 
Beyond the code - CodeCamp 2016 - Rares Vasilescu
Beyond the code - CodeCamp 2016 - Rares VasilescuBeyond the code - CodeCamp 2016 - Rares Vasilescu
Beyond the code - CodeCamp 2016 - Rares Vasilescu
 
encryption and hash algorithms
encryption and hash algorithmsencryption and hash algorithms
encryption and hash algorithms
 

Similar to Health Sensors & Big Data (Ignite SF version)

Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)Dr. Mazlan Abbas
 
Possibilities and perils of the data-driven world.
Possibilities and perils of the data-driven world.Possibilities and perils of the data-driven world.
Possibilities and perils of the data-driven world.joshuakauffman
 
Lifelogging & Personal Data Analytics
Lifelogging & Personal Data AnalyticsLifelogging & Personal Data Analytics
Lifelogging & Personal Data AnalyticsCathal Gurrin
 
Renish Dadhaniya - GlobeSync Technologies | Work at a glance
Renish Dadhaniya - GlobeSync Technologies | Work at a glanceRenish Dadhaniya - GlobeSync Technologies | Work at a glance
Renish Dadhaniya - GlobeSync Technologies | Work at a glanceGlobeSync Technologies
 
Virtual/Augmented reality, digital tools and superpowers for health applicati...
Virtual/Augmented reality, digital tools and superpowers for health applicati...Virtual/Augmented reality, digital tools and superpowers for health applicati...
Virtual/Augmented reality, digital tools and superpowers for health applicati...Boo Aguilar
 
AWS IoT Update - re:Invent Comes to London 2.0
AWS IoT Update - re:Invent Comes to London 2.0AWS IoT Update - re:Invent Comes to London 2.0
AWS IoT Update - re:Invent Comes to London 2.0Amazon Web Services
 
Innovation book.pptx
Innovation book.pptxInnovation book.pptx
Innovation book.pptxsenguldeniz
 
SuanIct-Bigdata desktop-final
SuanIct-Bigdata desktop-finalSuanIct-Bigdata desktop-final
SuanIct-Bigdata desktop-finalstelligence
 
Lifelogging - A long term data analytics challenge
Lifelogging - A long term data analytics challengeLifelogging - A long term data analytics challenge
Lifelogging - A long term data analytics challengeCathal Gurrin
 
MBA-TU-Thailand:BigData for business startup.
MBA-TU-Thailand:BigData for business startup.MBA-TU-Thailand:BigData for business startup.
MBA-TU-Thailand:BigData for business startup.stelligence
 
2019 June 27 - Big data and data science
2019 June 27 - Big data and data science2019 June 27 - Big data and data science
2019 June 27 - Big data and data scienceFabio Stella
 
InSilico DB the collaborative genomics hub
InSilico DB the collaborative genomics hubInSilico DB the collaborative genomics hub
InSilico DB the collaborative genomics hubDavid Weiss
 

Similar to Health Sensors & Big Data (Ignite SF version) (20)

Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)
 
Possibilities and perils of the data-driven world.
Possibilities and perils of the data-driven world.Possibilities and perils of the data-driven world.
Possibilities and perils of the data-driven world.
 
Lifelogging & Personal Data Analytics
Lifelogging & Personal Data AnalyticsLifelogging & Personal Data Analytics
Lifelogging & Personal Data Analytics
 
Renish Dadhaniya - GlobeSync Technologies | Work at a glance
Renish Dadhaniya - GlobeSync Technologies | Work at a glanceRenish Dadhaniya - GlobeSync Technologies | Work at a glance
Renish Dadhaniya - GlobeSync Technologies | Work at a glance
 
Virtual/Augmented reality, digital tools and superpowers for health applicati...
Virtual/Augmented reality, digital tools and superpowers for health applicati...Virtual/Augmented reality, digital tools and superpowers for health applicati...
Virtual/Augmented reality, digital tools and superpowers for health applicati...
 
The Rise of Open Data
The Rise of Open DataThe Rise of Open Data
The Rise of Open Data
 
What is Big Data?
What is Big Data?What is Big Data?
What is Big Data?
 
AWS IoT Update - re:Invent Comes to London 2.0
AWS IoT Update - re:Invent Comes to London 2.0AWS IoT Update - re:Invent Comes to London 2.0
AWS IoT Update - re:Invent Comes to London 2.0
 
What is Big Data?
What is Big Data? What is Big Data?
What is Big Data?
 
Big data nou
Big data nouBig data nou
Big data nou
 
What is Big Data?
What is Big Data?What is Big Data?
What is Big Data?
 
Bigdata
BigdataBigdata
Bigdata
 
IT FUTURE- Big data
IT FUTURE- Big dataIT FUTURE- Big data
IT FUTURE- Big data
 
Innovation book.pptx
Innovation book.pptxInnovation book.pptx
Innovation book.pptx
 
SuanIct-Bigdata desktop-final
SuanIct-Bigdata desktop-finalSuanIct-Bigdata desktop-final
SuanIct-Bigdata desktop-final
 
J Social Interaction
J  Social InteractionJ  Social Interaction
J Social Interaction
 
Lifelogging - A long term data analytics challenge
Lifelogging - A long term data analytics challengeLifelogging - A long term data analytics challenge
Lifelogging - A long term data analytics challenge
 
MBA-TU-Thailand:BigData for business startup.
MBA-TU-Thailand:BigData for business startup.MBA-TU-Thailand:BigData for business startup.
MBA-TU-Thailand:BigData for business startup.
 
2019 June 27 - Big data and data science
2019 June 27 - Big data and data science2019 June 27 - Big data and data science
2019 June 27 - Big data and data science
 
InSilico DB the collaborative genomics hub
InSilico DB the collaborative genomics hubInSilico DB the collaborative genomics hub
InSilico DB the collaborative genomics hub
 

Recently uploaded

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 

Recently uploaded (20)

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 

Health Sensors & Big Data (Ignite SF version)

  • 1. Health Sensors & Big Data Ignite SF December 4, 2012 Rachel Kalmar rachel@diysensors.com @grapealope This talk was presented at Ignite SF, on December 4, 2012. These slides are a condensed version of a Skillshare Workshop I gave as part of the School of Rock Health, on August 1, 2012.
  • 2. Ever wake up on the wrong side of the bed? Who here has woken up on the wrong side of the bed? You know the feeling all too well -- your alarm goes off, you wonder what that awful noise is, and suddenly, you’re awake. Image credit: Alexander and the Terrible, Horrible, No Good, Very Bad Day
  • 3. There’s an app for that. Examples: Sleep as Android, Sleep Cycle, Zeo Well...unsurprisingly, there’s an app for that. Using the accelerometer from your phone the app can determine what stage of sleep you’re in, and based on this, the best time to wake you up. This is one of an increasing number of examples of how sensors can improve our everyday lives. Image credit: Sleep as Android, Sleep Cycle
  • 4. Source: Cisco In 2008, the number of things connected to the Internet exceeded the number of people on earth. These things are not just smartphones and tablets. Increasingly, the objects in our lives can now talk to us. Image credit: Cisco
  • 5. And this isn’t just about health, it's also about manufacturing, the auto industry, business, government, science and everyday life. In the not too distant future, everybody, every thing, and every object will become a communication platform. Image credit: Yuri Van Geest
  • 6. Tracking our lives These things are tracking our lives, giving us data about things we’ve never measured before. In 2014, there will be 400 million of these devices, with a $4 billion market. Images (clockwise from top): Withings blood pressure tracker, Basis watch, Google Glass, Fitbit, Nike Fuelband
  • 7. So. Much. Data. Image modified from The Economist, “The Data Deluge.” Feb 15, 2010 But what do we do with it? We’re creating EXABYTES of data every day. Even storing this much data is difficult, let alone making sense of it. Image credit: The Economist, “The Data Deluge.” Feb 15, 2010
  • 8. Today For geeks Quantitative storytelling Today, this allows us to do a kind of quantitative storytelling, where we look at the output of our devices as charts and numbers. If you’re a geek, like me, this is pretty cool. But most people aren’t, and just want the take-home message. The big question is how do you make this data actionable? Image credit: Technology Review, June 21, 2011
  • 9. How can we make data actionable? vi or ha be data Source: The Missing Piece Meets the Big O, Shel Silverstein This depends. What questions are you trying to answer? What problem are you trying to solve? We don't want data, we want concrete actionable suggestions. To do this, it’s useful to take a look at the data ecosystem. Image credit: The Missing Piece Meets the Big O, Shel Silverstein
  • 10. user sensors actions data ecosystem connect tools storage The data ecosystem includes everything from the user to the data sources, to the connectivity protocol, to how the data is stored, analyzed, and given back to the user in an actionable way. The starting point is always the user. Why is the user interested in your device? Image credit for stick figure: xkcd
  • 11. Why collect health data? user Disease management There are a number of reasons people want to track their health. For my dad, he uses a blood glucose monitor for disease management. Other reasons you might track your health might be for remote monitoring, or self-improvement like weight loss, athletics, sleep. Image credit: Rock Report: Sensors, Agamatrix
  • 12. 450+ tracking devices and apps If you go to the QS website, you’ll find a collection of > 450 devices and apps for self-tracking. This is tracking on a very personal level, but we can do tracking on a global level as well. Image credit: Quantified Self website
  • 13. Prediction of global trends Using search queries about flu symptoms, Google is able to localize and predict flu outbreaks faster than the CDC. Connecting geo-located sensors, companies like Asthmopolis take this even a step further, tracking where and when you use your asthma inhaler. Image credit: Google
  • 14. Exponential growth Source: Intel There’s an exponential explosion of the number of devices giving us data, from the personal level to the global level. The limiting factor here are tools for making this data useful. Image credit: Intel
  • 15. Accessing, aggregating, processing the tools data Of course, you can make your own tools to access, aggregate, and process data coming in from different sources. Websites like Cosm make this easier, allowing you to connect the output of sensors via their website to control objects in the physical world. Image credit: Cosm
  • 16. How do you make data actionable? actions Have you ever noticed that your mood is affected by the weather? Wouldn't it be great if the lighting in your house could make sure that you get enough light exposure to ward off the winter blues? This is something we can do now, and new sensors are opening even more doors.
  • 17. 0 1 1 0 1 0 1 1 0 1 1 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 1 0 0 1 0 1 1 0 1 0 0 1 0 1 1 0 1 0 1 1 0 1 1 0 1 0 1 1 0 1 1 0 0 1 1 1 0 1 1 0 0 1 0 1 1 0 1 0 0 1 0 1 1 0 1 0 1 1 The next wave of sensors... The next wave of sensors are becoming increasingly wearable, both aesthetically and practically, passively collecting and analyzing new kinds of data, and disruptive as things like lab-on-a-chip allow healthcare to move to your phone. Images (clockwise from top): Misfit Wearables’ Shine, Sano Intelligence, Lab on a Chip, mc10
  • 18. QualcommTricorderXprize.com These technologies are moving things like the Star Trek medical tricorder from science fiction to science. Companies like Scanadu and Cellscope have versions of these hand-held triage devices, leveraging your smartphone. Image credit: Daniel Kraft
  • 19. DIY sensors And with the rise of the Maker movement and the hardware revolution, it’s getting easier and easier to make your own sensor devices. And once you’ve made your own device, crowdfunding platforms like Kickstarter and Indiegogo are making it much more possible to turn DIY projects into businesses. Image credit: Make, January 2012
  • 20. meetup.com/Sensored bit.ly/sensorites Not only are there more physical tools, but there are a number of virtual and real-world communities, like the Sensored and Hardware Startup Meetups, where people get together to learn and collaborate.
  • 21. The future... What will you build? I’d like to leave you with a challenge, to think about what problems in your life you might be able to solve with access to the right data. Maybe it’s waking up on the right side of the bed, or maybe it’s something entirely new. The future will be sensored. The question is: what will you build?
  • 22. Health Sensors & Big Data Ignite SF December 4, 2012 Rachel Kalmar rachel@diysensors.com @grapealope Want to learn more? Check out: • Rock Health • Singularity University / FutureMed • Quantified Self • Hardware Startup Meetup • Sensored Meetup / Discussion group