Topic Archives: Lab Notes
In our work supporting users and makers of Quantified Self tools we pay close attention to how others talk about trends and markets. In the past year, the most-used catch all term for devices that help us track ourselves has been “wearables.” Now, it’s clear that wearables covers only a fraction of QS practices. Many of the ways people are using numbers, computing, and technology to learn about themselves do not involve wearing anything special. However, the term is useful to us in following relevant research. Below you’ll find links to last year’s best reporting on the wearables market, gathered into a single post for easy reference.
Pew Research Center (January 2013)
The most important work in this space remains the Tracking for Health report from the Pew Research Center, which found that 69% of adults track their health or the health of others, and that 21% of those who track use technology.
Link: QS Analysis of the Pew Research Center Tracking for Health
Forrester, January 2013
A report about the market for fitness wearables “like the Nike+ Fuelband and Jawbone UP” predicts that 8 million US online will be purchasing such devices.
Link: Fitness Wearables — Many Products, Few Customers
Nike, August 2013
Announces in a press release for their “Just Do it” campaign that they have over “18 million global” members of their Nike+ ecosystem.
Link: Nike Redefines “Just Do It” With New Campaign
CCS Insight, October 2013
Surveyed over 700 adults in both the UK and US. They found smart watch adoption was low with only 1.3% of adults (both countries) currently owning and using one and 1.5% no longer using (had owned). For “Wearable Fitness Trackers” they found 2.3% currently owned and used one and 1.2% no longer use it.
Link: User Survey: Wearables UK and US
Endeavor Partners, January 2014 (Part 1)
A survey of “thousands of Americans” completed in late 2013 found that 10% own an activity tracker. Activity trackers were most popular with younger adults (25–34 years) when compared to other age groups. They found that 50% of individuals who have owned an activity tracker no longer use it and one third stopped using it within six months.
Link: Inside Wearables
IDC, March 2014
“This IDC study presents the five-year forecast for the worldwide wearable computing devices market by product category. The worldwide wearable computing devices market (commonly referred to as “wearables”) will reach a total of 19.2 million units in 2014”
Link: Worldwide Wearable Computing Device 2014–2018 Forecast and Analysis
Nielsen, March 2014
A survey conducted in late 2013 of 3,956 adults found that 15% currently “use wearable tech—such as smart watches and fitness bands—in their daily lives.” Device ownership leaned heavily toward “fitness bands” with 61% of wearable technology users reporting ownership. This was followed by smart watches (45%), and mobile health devices (17%).
Link: Are Consumers Really Interested in Wearing Tech on their Sleeves?
Rock Health, June 2014
“While the activity tracker segment has about 1-2% U.S. penetration, wearables overall are expected to grow significantly”
Link: The Future of Biosensing Wearables
Endeavor Partners, July 2014 (Part 2)
As of June 2014, they found that the percentage of adult consumers that still wear and use their activity tracker has improved with 88% still wearing it after three months, 77% after 3–6 months, 66% after 6–13 months, and 65% after a year. They also found that majority of respondents (1,024 of 1,700 surveyed) reported obtaining their divide within the last six months
Inside Wearables – Part 2
PWC, October 2014
“21% of American adults already own a wearable device” They also found in their survey of 1,000 adults that 2% no longer use it, 2% wear it a few times per month, 7% wear it a few times a week, and 10% use it everyday.
Links: The Wearable Future, Health Wearables: Early Days
Acquity Group, November 2014
A survey of 2,000 US consumers found that 13% plan to purchase as wearable fitness device with in the next year, and 33% within the next five years. Additionally, smart clothing is on slower trajectory with 3% planning to purchase in the next year and 14% in the next five years.
Link: The Internet of Things: The Future of Consumer Adoption
Gartner, November 2014
Gartner forecasts that worldwide shipments for “wearable electronic devices for fitness” will reach 68 million units in 2015, a slight decrease from the forecasts from 2014 and 2013 (70.2 and 73 million units, respectively). Additionally, according to Angela McIntyre, Gartner has found that “20 million online adults in the U.S. own and use a fitness wristband or other activity monitor and that 5.7% of online adults in the U.S. own and use a fitness wristband.”
Link: Forecast: Wearable Electronic Devices for Fitness, Worldwide, 2014
Berg Insight, December 2014
This is a market research report that states “fitness and activity trackers is the largest product category” and shipments are forecasted to reach 42 million units in 2019. Smart watches are predicted to reach 90 million units.
Link: Connected Wearables
Accenture, January 2015
Using a survey of 24,000 individuals across 24 countries Accenture found that 8% currently own a “Fitness Wearable”. Furthermore, they found that 12% plan to purchase in the next year, 17% in the next 1–3 years, and 11% in the next 2–5 years.
Link: Engaging the Digital Consumer in the New Connected World
Global Web Index, January 2015
In their Q3 2014 Device Summary report, GWI labeled wearable devices as “highly niche” after finding that 7% of US online adults own a “smart wristband” (Nike Fuelband, Jawbone Up, Adidas miCoach) and 9% own a smart watch.
Link: GWI Device Summary – Q3 2014
Rocket Fuel, January 2015
A survey of 1,262 US adult consumers conducted in December of 2014 found that 31% currently use a QS tool to track their health and fitness. This includes apps, devices, and websites. More specifically, 16% use a wearable device and 29% use a website or app not associated with a wearable device to track health and fitness.
Link: “Quantified Self” Digital Tools
MyFitnessPal is one of the leading dietary tracking tools, currently used by tens of millions of people all around the world to better track and understand the foods they consume every day. Their mobile apps and online tools allow individuals to enter foods and keep track of their micro- and macro-nutrient consumption, connect additional devices such as fitness trackers, and connect with their community – all in the name of weight management. However, there is no natively available method for easily accessing your dietary data for personal analysis, visualization, or storage.
With a bit of digging in the MyFitnessPal help section we can see that they have no official support for data export. However, they mention the ability to print reports and save PDF files that contain your historical data. While better than some services, a PDF document is far from easy to use when you’re trying to make your own charts or take a deeper look into your data.
We spent some time combing the web for examples of MyFitnessPal data export solutions over the last few days. We hope that some of these are useful to you in your ongoing self-tracking experiences.
MyFitnessPal Data Downloader: This extension allows you to directly download a CSV report from your Food Report page. (Chrome only)
MyFitnessPal Data Export: This extension is tied to another website, FoodFastFit.com. If you install the extension, it will redirect you back to that site where your data is displayed and you can download the CSV file. (Chrome only)
ExportMFP: A simple bookmark that will open a text area with comma-separated values for weight and calories, which you can copy/paste into your data editor of choice.
MyFitnessPal Reports: A bookmarklet that allows you to generates more detailed graphs and reports.
MyFitnessPal Analyser: Accesses your diet and weight data. It requires you to input your password so be careful.
Export MyFitnessPal Data to CSV: Simple web tool for exporting your data.
FreeMyDiary: A recently developed tool for exporting your food diary data.
MyFitnessPal Data Access via Python: If you’re comfortable working with the Python language, this might be for you. Developed by Adam Coddington, it allows access to your MyFitnessPal data programmatically
MFP Extractor and Trend Watcher: An Excel Macro, developed by a MyFitnessPal user, that exports your dietary and weight data into Excel. This will only work for Windows users.
Access MyFitnessPal Data in R: If you’re familiar with R, then this might work for you.
QS Access + Apple HealthKit
If you’re an iPhone user, you can connect MyFitnessPal to Apple’s HealthKit app to view your MyFitnessPal data alongside other data you’re collecting. You can also easily export the data from your Health app using our QS Access app. Data is available in hourly and daily breakdowns, and you should be able to export any data type MyFitnessPal is collecting to HealthKit.
Two weeks ago we announced the release of the QS Access App so you could access your HealthKit data in tabular format for personal exploration, visualization, and analysis. In that short period of time, we’ve seen a good number of downloads and positive feedback.
We know from our experiences hosting in-person and online communication about personal data that seeing real-world examples of what is possible is what inspires people to engage and ask questions of their own data. With that in mind we’re excited to announce our QS Access Visualization Showcase.
We are looking to you, our amazing community of trackers, designers, and visualizers, to show use what you can do with data gathered from using the QS Access App. Make heatmaps in D3, complete analyses and visualizations in Wizard, or just make meaningful charts in Excel. If you’re visualizing your QS Access data we want to see it.
We also know that data visualization design and creation is not trivial work. To support the community and help expose the visualization work we’ll be awarding free tickets to our QS15 Global Conference & Exposition to individuals who use QS Access to create unique and interesting visualizations. We’ve earmarked two tickets (a $700 value) for outstanding work. If you’re selected, we’ll also work with you to showcase your work at the QS15 Conference and Exposition so other community members and attendees can explore and learn from their own data.
If you’re in the Bay Area come to our QS Meetup on November 11th at the Berkeley Skydeck. You can showcase your visualization and tell our community what you’ve learned from accessing and visualizing your data.
HealthKit is still new and the number of apps that integrate with it is growing by the day. At QS Labs we’ve done a bit of work making simple visualizations that are meaningful to us.
Steps and Sedentary Activity
Gary has an iPhone 5s which has native step tracking. We used the QS Access app to export his hourly step totals and made these simple line graphs in Excel. You can read more about what he learned from these simple data visualizations here.
How Much Do I Run?
Ernesto is an avid runner and enjoys running along the quiet trails in Los Angeles. He was interested to see how often he actually runs and if there’s any pattern to his running. Using a well-designed D3 template he was able to make a calendar heatmatp of his running distance.
If you don’t have any HealthKit data to work with, or just want to play with some example data we’ve created a few files that you can use as examples. Download the files below from our GitHub account and make sure to read the documentation to understand where the data is coming from. Descriptions of the data files and sources are available in our QS Access Data Examples repo on Github.
On Wednesday this week we learned that the QS Access app we submitted to the Apple store was approved. This means you can download the QS Access app on iTunes. We hope you’ll find it useful. Our app is a very simple tool for accessing HealthKit data in a table so that you can explore it using Numbers, Excel, R, or any other CSV compatible tool.
It is still early days for HealthKit, but my conversations with toolmakers at Quantified Self events convinces me that there will be many device and software makers that integrate with Apple’s platform for collecting and analyzing personal data. I hope this will allow more people to learn from their own data by reflecting on changes over time and by combining multiple data streams – such as activity, sleep, and nutrition – into a single visualization for comparison.
To give you your HealthKit data in tabular format, we’ve had to simplify it. QS Access shows your data in either “hourly” or “daily” chunks. These won’t be appropriate for all uses, but many interesting questions can be asked of data that is presented as a time series using hourly and daily values. This is just a starting point, and we’re looking forward to making it do more based on your feedback.
We very much hope that if you learn something from your data using QS Access, you’ll share your project by participating in a Quantified Self Show&Tell meetup and by joining us at QS15 Conference and Exposition next year in San Francisco. Suggestions about the app itself and interesting examples of usage can be shared with us directly by emailing us: email@example.com,
The QS Access App was authored by our long time QS Labs friend and collaborator Robin Barooah.
NOTE: The methods detailed in this post no longer work. The post is kept here for archival purposes, but unfortunately you will not be able to access your Fitbit data by following the steps.
Earlier this week we posted an update to our How To instructions for downloading your Fitbit data to Google Spreadsheets. This has been one of our most popular posts over the past few years. One of the most common requests we’ve received is to publish a guide to help people download and store their minute-by-minute level step and activity data. Today we’re happy to finally get that up.
The ability to access and download the minute-by-minute level (what Fitbit calls “intraday”) data requires one more step than what we’ve covered previously for downloading your daily aggregate data. Access to the intraday data is restricted to individuals and developers with access to the “Partner API.” In order to use the Partner API you must email the API team at Fitbit to request access and let them know what you intend to do with that data. Please note that they appear to encourage and welcome these type of requests. From their developer documentation:
Fitbit is very supportive of non-profit research and personal projects. Commercial applications require additional review and are subject to additional requirements. To request access, email api at fitbit.com.
In the video and instructions below I’ll walk you through setting up and using the Intraday Script to access and download your minute-by-minute Fitbit Data.
- Set up your FitBit Developer account and register an app.
- Go to dev.fitbit.com and sign in using your FitBit credentials.
- Click on the “Register an App” at the top right corner of the page.
- Fill in your application information. You can call it whatever you want.
- Make sure to click “Browser” for the Application Type and “Read Only” for the Default Access type fields.
- Read the terms of service and if you agree check the box and click “Register.”
- Request Access to the Partner API
- Email the API team at Fitbit
- They should email you back within a day or two with response
- Copy the API keys for the app you registered in Step 1
- Go to dev.fitbit.com and sign in using your FitBit credentials.
- Click on “Manage My Apps” at the top right corner of the page
- Click on the app you created in Step 1
- Copy the Consumer Key.
- Copy the Consumer Secret.
- You can save these to a text file, but they are also available anytime you return to dev.fitbit.com by clicking on the “Manage my Apps” tab.
- Set up your Google spreadsheet and script
- Open your Google Drive
- Create a new google spreadsheet.
- Go to Tools->Script editor
- Download this script, copy it’s contents, and paste into the script editor window. Make sure to delete all text in the editor before pasting. You can then follow along with the instructions below.
- Select “renderConfigurationDialog” in the Run drop down menu. Click run (the right facing triangle).
- Authorize the script to interact with your spreadsheet.
- Navigate to the spreadsheet. You will see an open a dialog box in your spreadsheet.
- In that dialog paste the Consumer Key and Consumer Secret that you copied from your application on dev.fitbit.com. Click “Save”
- Navigate back to the scrip editor window.
- Select “authorize” in the Run drop down menu. Click run (the right facing triangle).
- Select “authorize” in the Run drop down menu. This will open a dialog box in your spreadsheet. Click yes.
- A new browser window will open and ask you to authorize the application to look at your Fitbit data. Click allow to authorize the spreadsheet script.
- Download your Fitbit Data
- Go back to your script editor window.
- Edit the DateBegin and DateEnd variables with the date period you’d like to download. Remember, this script will only allow 3 to 4 days to be downloaded at a time.
- Select “refreshTimeSeries” in the Run drop down menu. Click run (the right facing triangle).
- Your data should be populating the spreadsheet!
If you’re a developer or have scripting skills we welcome your help improving this intraday data script. Feel free to check out the repo on Github!
We’re posting a quick note today to let you know that we’ve updated our “How To Download Your Fitbit Data” post. It now included separate instructions for both the old and new versions of Google Spreadsheets. This is just the first in a series of planned updates. We hope to post additional updates to allow you to have deeper access to your Fitbit data including, heart rate, blood pressure, and daily goal data.
If you’re using this how-to we’d love to hear from you! Are you learning something new? Making interesting data visualizations? Discussing the data with your health care team? Let us know. You can email us or post here in the comments.
Today we are excited and honored to announce that Steven Jonas has joined QS Labs as our Senior Editor/Information Architect. As has been the case with previous additions to QS Labs, we welcome Steven as a friend and fellow community member. Steven serves as a co-organizer of the Portland QS meetup group, and has participated as our speaker coordinator for our past two conferences.
In addition to his work supporting our global QS community, Steven is an active self-tracker, having engaged in many different projects. We’ve been delighted to highlight a few of those here on the QS website. We invite you to welcome Steven and get to know him a bit by exploring the posts linked below.
Photo by Mark Krynsky
Someday, you will have a question about yourself that impels you to take a look at some of your own data. It may be data about your activity, your spending at the grocery store, what medicines you’ve taken, where you’ve driven your car. And when you go to access your data, to analyze it or share it with somebody who can help you think about it, you’ll discover…
Now is the time to work hard to insure that the data we collect about ourselves using any kind of commercial, noncommercial, medical, or social service ought to be accessible to ourselves, as well as to our families, caregivers, and collaborators, in common formats using convenient protocols. In service to this aim, we’ve decided to work on a campaign for access, dedicated to helping people who are seeking access to their data by telling their stories and organizing in their support. Although QS Labs is a very small organization, we hope that our contribution, combined with the work of many others, will eventually make data access an acknowledged right.
The inspiration for this work comes from the pioneering self-trackers and access advocates who joined us last April in San Diego for a “QS Public Health Symposium.” Thanks to funding support from the Robert Wood Johnson Foundation, and program support from the US Department of Health And Human Services, Office of the CTO, and The Qualcomm Institute at Calit2, we convened 100 researchers, QS toolmakers, policy makers, and science leaders to discuss how to improve access to self-collected data for personal and public benefit. During our year-long investigation leading up to the meeting, we learned to see the connection between data access and public health research in a new light.
If yesterday’s research subjects were production factors in a scientist’s workshop; and if today’s participants are – ideally – fully informed volunteers with interests worthy of protection; then, the spread of self-tracking tools and practices opens the possibility of a new type of relationship in which research participants contribute valuable craft knowledge, vital personal questions, and intellectual leadership along with their data.
We have shared our lessons from this symposium in a full, in-depth report from the symposium, including links to videos of all the talks, and a list of attendees. We hope you find it useful. In particular, we hope you will share your own access story. Have you tried to use your personal data for personal reasons and faced access barriers? We want to hear about it.
You can tweet using the hashtag #qsaccess, send an email to firstname.lastname@example.org, or post to your own blog and send us a link. We want to hear from you.
The key finding in our report is that the solution to access to self-collected data for personal and public benefit hinges on individual access to our own data. The ability to download, copy, transfer, and store our own data allows us to initiate collaboration with peers, caregivers, and researchers on a voluntary and equitable basis. We recognize that access means more than merely “having a copy” of our data. Skills, resources, and access to knowledge are also important. But without individual access, we can’t even begin. Let’s get started now.
An extract from the QSPH symposium report:
[A]ccess means more than simply being able to acquire a copy of relevant data sets. The purpose of access to data is to learn. When researchers and self-trackers think about self-collected data, they interpret access to mean “Can the data be used in my own context?” Self-collected data will change public health research because it ties science to the personal context in which the data originates. Public health research will change self-tracking practices by connecting personal questions to civic concerns and by offering novel techniques of analysis and understanding. Researchers using self-collected data, and self-trackers collaborating with researchers, are engaged in a new kind of skillful practice that blurs the line between scientists and participants… and improving access to self-collected data for personal and public benefit means broadly advancing this practice.
Quantified Self Labs is wholeheartedly dedicated to creating conferences and events that are safe and comfortable for everyone involved. This means providing a harassment-free experience for every participant, regardless of gender identity and expression, sexual orientation, ability, ethnicity, socioeconomic status, physical appearance, and beliefs.
Providing this experience for our members requires a concrete, visible commitment to the community. We introduced our first anti-harassment policy for the Quantified Self Global Conference in 2013. Quantified Self Boston has followed suit and introduced a Code of Conduct for all their events in April, 2014. Our Bay Area QS meetup has recently implemented this Code of Conduct as well. Meetup members from the Quantified Self Community have also started three women’s* meetups (QSXX San Francisco, QSXX Boston, QSXX New York City) to promote inclusion and safe spaces for sharing.
If you are involved in Quantified Self as an organizer or meetup member we encourage you to read our anti-harassment policy and the QS Boston Code of Conduct and use them as a basis for your own work in creating events that are welcoming to all.
Editor’s Note: Thanks to our friends Amelia Greenhall and Maggie Delano for their leadership. For more analysis and practical resources in fighting sexism in technology culture, see: The Ada Initiative.
* All women and people who identify or have identified as significantly non-male are welcome at QSXX, including those with non-binary and/or trans* gender identities.
My friend Seth Roberts, pioneering self-experimenter and personal scientist, died last Saturday. Seth’s sister Amy, made the announcement yesterday on his blog. The news was unexpected and very sad. A few things Seth taught me:
- Doing lots of experiments keeps you supplied with new ideas.
- With sensitive and reliable measurements, tiny experimental effects can yield surprising clues.
- The people who care about a problem most have the best chance of solving it, if they have access to tools.
Seth’s contributions as a colleague and teacher had many dimensions, but in thinking about him nonstop this morning what I find myself marveling at most is the unusual style he had in nearly every conversation. Seth became interested when he saw somebody thinking independently and, like the best teachers, he wanted to understand the process by which students and collaborators developed confidence their conjectures. Countless times, I heard Seth ask somebody “Why do you think that?” His challenge was direct and generous, for if you were willing to expose your reasons you could count on him to apply himself alongside you, thinking up ways to improve your investigation, make your measurements more practical, or give your analysis more logical or mathematical power. Seth was acutely aware that confidence in experimental results requires investment. More than any other experimentalist I’ve known, Seth respected the incremental nature of building confidence in our ideas and finding new ideas worthy of confidence. He encouraged us to do small experiments first, to find easier ways to collect data, and to avoid being tripped up at the outset by grandiose schemes of irrefutability.
We’ll collect and share some more impressions and memories of our friend and collaborator when the shock of this news lessens, but in the meantime I want to post a video of one of the talks he gave a few years ago about how to design personal experiments.
For further reading:
- Seth Roberts Wikipedia page
- Seth’s faculty page at Tsinghua University (bibliography is in English)
- A spot-on remembrance by Richard Sprague
In Richard Sprague’s post from today, linked directly above, there is this passage:
I found his blog, and discovered that he was living near me in Beijing. A famous professor like him – a New York Times bestselling author and all that – might be hard to get ahold of, but one day out of the blue I sent Seth an email, wondering if he’d like to get together for lunch. He replied in minutes and said sure, how about tomorrow?
That’s Seth exactly.