Tag Archives: Television
On June 18-20 we’ll be hosting the QS15 Conference & Activate Expo in San Francisco at the beautiful Fort Mason Center. This will be a very special year with two days of inspiring talks, demos, and discussion with your fellow self-trackers and toolmakers, plus a third day dedicated to the Activate Exposition. As we start to fill out our program we’ll be highlighting speakers, discussion leaders, sponsors, and attendees here.
We are excited to welcome Valerie Lanard as a presenter our upcoming QS Conference & Activate Expo. Like many in our community, Valerie has been tracking a variety of her health and fitness data and was pleased to find out “that there others like her” when she discovered the Quantified Self. Currently Valerie is working on Gigabody.com, a streaming fitness video service designed to help with regular exercise. She also has a keen interest in habits, health & fitness tracking, wearable devices, lifelogging.
At the QS15 Conference Valerie will be talking about her fascinating project to quit TV for thirty days. In August of 2014, Valerie committed to quitting TV and focused on how her environment and triggers reinforced a behavior she felt “locked into.” In her show&tell talk she will be sharing her process, what ended up replacing all her TV time, and lessons she learned about herself when she was able to break the habit.
We also spoke with Valerie about what she’s looking forward to at the conference and she mentioned she’s excited to see new tools and devices as well as the opportunity to meet new QS community members:
I cannot wait to see the new crop of devices and QS companies at the conference – I feel like a kid in a candy store every year. But I’m just as excited to talk about the latest health tracking APIs, and meet smart, like-minded folks from the community. Come say hi!
If you’re interested in meeting and learning from interesting and engaged people like Valerie then register now for the QS15 Conference & Expo.
Dale Lane is a software developer for IBM living and working in Hampshire and he has been developing neat personal tools for his self tracking for the last few years. Let’s take a look at a few of them.
Tracking TV Watching
Inspired by the background data collection offered by last.fm designed to capture music listening habits Dale set out to create his own “scrobbler” to better understand his TV viewing habits. What he came up with is amazing:
Using a bit of code running on his media PC he is able to track a number of variables including time of day, what program he’s watching, his most watched channels, and many many more. Take a bit of time to check out his comprehensive blog post about the project and the TV Scrobbling project page.
Not satisfied while merely understanding what he was watching on TV, Dale took it upon himself to better understand how we was reacting to what he was watching. Using a webcam and a bit more code he was able to piece together a program that snaps a picture and then uses the Face.com API to determine interesting characteristics about the picture. The Face.com API enables him to see if he’s smiling as well as estimating his mood based on the facial characteristics that show up in the webcam shot. This little program has enabled him to find out some really interesting things such as:
He was also able to track his estimated emotional state while gaming and found some interesting insights:
This shows my facial expressions while playing Modern Warfare 3 last night. Mostly “sad”, as I kept getting shot in the head. With occasional moments where something made me smile or laugh, presumably when something went well.
These are really interesting and unique methods for understanding ourselves and our behavior. Dale’s work on self-tracking is fascinating and is an inspiration to those of us looking to expand our understanding of ourselves and how we interact and react with the digital world. Be sure to check out his blog for more self-tracking projects and interesting tools!
Every few weeks be on the lookout for new posts profiling interesting individuals and their data. If you have an interesting story or link to share leave a comment or contact the author here.