Tag Archives: FuelBand
In 2013 Eric Boyd started using a Nike FuelBand to track his activity. Not satisfied with the built in reporting the mobile and web applications were delivering he decided to dive into the data by accessing the Nike developer API. By being able to access the minute-level daily data Eric was able to make sense of his daily patterns, explore abnormalities in his data, and learn a bit more about how the FuelBand calculated it’s core metrics. Watch Eric’s talk from our 2013 Quantified Self Europe Conference to hear more about Eric’s experience.
“I was starting to feel a little bit out of control.”
Robert Carlsen used to be an amateur bike racer. When he moved to New York and stopped racing he found that his weight was slowly creeping up. He was still leading an active lifestyle, but he soon realized that most of daily food choices were the result of guess work. In this video, filmed at the New York City QS Meetup, Robert explains how he used different apps and tools to track his caloric inputs and outputs in order to move towards his goal weight.
We’ve been getting some great Quantified Self Show & Tell talks coming in as we get closer to our European conference. Now that there are so many self-tracking tools that can serve as tools for gaining insight into our actions and behaviors it’s important to understand what we can learn from the data we gather. One of the key questions Quantified Self participants have is whether the devices they use are accurate, what they are good for, what signals they display about our real activities.
Eric Boyd, who gave our keynote at the first QS conference in Palo Alto in 2011, is coming to Amsterdam in May, and he will give a show&tell talk about trying to understand his Nike Fuelband data. Eric has been involved with Quantified Self as an avid self-tracker, maker of wearable technologies, and an organizer for the QS Toronto meetup group.
He has been wearing the Nike+ FueBband for a few months and has started to examine what the data tells him about his daily rhythms. For instance, it can easily tell when he gets out of bed at night, as well as daily variations in his walking pace.
While many of us have found that the common activity trackers function as a kind of diary, with even the minimal traces of activity able to spur our memories about what we’ve been up to, sometimes they record data that is mysterious. For instance, the graph below show’s Eric’s highest activity day. “I do not know what I doing during the three hours when I clocked most of the steps, but it wasn’t walking,” he reports.
I think it will be fun, at the spring conference, to try and solve some of these mysteries of activity data together.
The Quantified Self European Conference will be held in Amsterdam on May 11th & 12th. Registration is now open. As with all our conferences our speakers are members of the community. If you’re attending the conference and want to present your self-tracking project please let us know.
Here at QS Labs we’ve been curious about the differences between two of the most popular devices among self-trackers: The Nike+ FuelBand and the FitBit. I’m the latest experimenter on this topic, and since January I’ve been wearing a FuelBand on my left wrist and a FitBit (original model) in the right hand coin pocket of my jeans. The FitBit almost always counts significantly more steps than the FuelBand.
The details are interesting. When Bastian compared his FuelBand vs his Fitbit, he found a slight correlation between his activity level and the difference in the number of steps they counted. In other words, them more active he was, the more the two devices disagreed. When Ernesto did his FuelBand vs Fitbit test, his numbers closely matched. My data is more like Bastian’s, but with the effect of high activity even clearer. Look at the graph below. On the vertical axis is the difference in step count, by day. On the horizontal access is the number of daily steps Fitbit counted. The higher the number of “FitBit steps,” the more likely it is that “Fuelband steps” are much lower.
We are not the only ones curious about whether our activity level looks different when seen with different trackers. Bastian Greshake, co-founder of OpenSNP.org, has been comparing his FuelBand and his Fitbit for months. Here’s what he found.
Inspired by Ernesto’s post I wanted to take a look at how my data for the Fitbit and the FuelBand compare to each other. I started wearing the FuelBand in October of last year. Since then it has only left my wrist to recharge the battery. I was already carrying a Fitbit Ultra, which I’ve had since May 2012. I wear the FuelBand on my dominant arm. The Fitbit is usually clipped to the pocket of my jeans and I have it on my non-dominant arm while sleeping. From my day-to-day experience I have a sense that FuelBand steps are usually a good way below the Fitbit steps. But I also thought that the difference was getting smaller, probably due to firmware updates on the FuelBand.
Using the Fitbit-API (and it’s integration into openSNP) it’s quite easy to get a file that contains all step counts measured with the Ultra. If you have an openSNP account you can download the complete file, also including sleep data and body measurements here. Unfortunately the Nike+ API isn’t ready yet, so one needs to manually scrape the data. As this is boring work that can’t easily be automated I only got FuelBand step data back to 2013/11/16. Still, that should be enough to get a first insight on how both devices compare.
Gary and I were inspired to start looking into activity tracker data by James Wolcott’s comment in his recent Vanity Fair Story:
According to Fitbit, I took 7,116 steps on November 27; Jawbone has me at 2,192, a bit of a discrepancy. I prefer to believe Fitbit’s higher tally is the correct one, because that is the cotton-candy cloud on which I dwell, but perhaps I’m fooling myself and Jawbone has me accurately pegged as a potted fern. Further testing is clearly indicated, as they say in those clinical trials.
Wolcott is talking about the Jawbone Up. Neither of us own a Jawbone UP (yet), but we were nonetheless curious: do common activity trackers agree? We know that this could be studied rigorously, but the first step is just to find out what happens in our own real use. Gary had a Fuelband, I had a Fitbit. Each of us bought the one we were missing. We focused mostly on step counts as this is one of the most common metrics that activity trackers provide.