Category Archives: personal analytics
Did you know that there is a standard measurement unit called “clo” that is used to quantify the thermal comfort/insulation of the clothing? Its values ranges from 0 (naked person) to 1 (insulating value of clothing needed to maintain a person in comfort sitting at rest in a room at 21 ℃, or 70 ℉). This interesting article provides a simple calculator that you can use to get the total clo-score for your clothes. You can get a more specific breakdown for various items here.
Image Credit: http://www.dailymail.co.uk
As you may have already noticed, I have not been posting much lately. No worries, Measured Me project is still live and kicking; I continue updating my Lifestream dashboard every week, and have been testing some new awesome Quantified Self tools like Nick Felton’s Reporter app and Zeo’s offspring sleep tracking device Beddit. I only wish I had time to sit down and put my thoughts and observations together. I am currently working on some large projects at my full-time job, and this takes most of my time. So at this point, I decided to take a hiatus from blogging for a couple of months. For the same reason, I won’t be able to attend this year’s awesome Quantified Self conference in Amsterdam, and will stick to only local QS meetups.
Still, please feel free to drop me a message or comment on this blog, and I will try to respond in due course. Happy tracking!
For the past several months I have been testing the CNS Tap Test, a mobile phone adaptation of the Finger Tap test often used by neuropsychologists and fitness professionals to measure the status of the central nervous system. The objective of this measurement experiment was to see if I could use this app to measure more objectively my physical and psychological health (I currently use subjective scales). The results were interesting but not sufficiently conclusive to include this test in my self-tracking inventory.
As promised, posting today the slides of my “100 Days of Summer” talk that I presented at the 2013 Quantified Self conference in San Francisco last Thursday (October 10). In this presentation, I shared most important and interesting results of the first phase of Measured Me project.
In this post, I will discuss three invisible temporal patterns that are likely to be present in your self-tracking data and which, if ignored during analysis, may lead to erroneous conclusions and interpretations. I am talking about trends, social rhythms and intra-day variability.
In this post, I would like to share some preliminary findings of my attempts at quantifying and tracking everyday situational and environmental context. Specifically, I will explain how I have been logging everyday situations and environment, and will talk about some interesting patterns that I found in my data.
A while ago I blogged about my search for the best self-tracking tools (link to part 1; , link to part 2), and one of the apps that came up in the final was rTracker. I have been using it since then, and have become a huge fan. rTracker now is a central tool in my Measured Me experiment – an attempt to capture and express my everyday life numerically. I usually try to stay as neutral and unbiased as possible in my reviews, but in case of rTracker, my engagement has evolved from being an enthusiastic user to becoming a “brand advocate.” I thought it would be great to finally “meet” a genius behind such an amazing app, so a couple of weeks ago I contacted Dr. Robert Miller, founder of Realidata Ltd. and developer of rTracker. He kindly agreed to answer a couple of questions for Measured Me blog.
(This is an updated version of previous post about tracking willpower, with interactive charts). Winslow Strong of Biohack Yourself (check out his awesome blog, by the way!) recently posted a great question on Quantified Self Facebook page, asking about ways to quantify restraint. This is when I remembered about my attempt to track willpower in March that was partially inspired by our conversation with Hiren Patel of Becoming the Best (another awesome blog!). My method for tracking willpower (self-restraint/self-control) was rather simple and straightforward.
I have been using RunKeeper to keep track of my walks and bike rides for a while now. In addition to distance and pace, RunKeeper offers an estimate of calories burned that is most likely derived based on my weight/age and distance information. Last month I had an idea to compare these estimates with those provided by my Bodymedia tracker, and to do that, I had to conduct an experiment, which lasted for about two weeks. The estimates provided by both trackers turned out to be very close.
The March is almost over, so I thought it is a good time to tell what kind of things I am have been tracking and what self-experiments I have been conducting this month. As usual, at the end of the month I will export data from my rTracker log , analyze it and will share any interesting insights and findings with you.