View allAll Photos Tagged quantifiedself
Me, myself and I, playing racquetball against Parkinson's Disease. During an "ON" moment, in the morning, when symptoms are minimal. I've been playing racquetball about twice a month recently, in between Rock Steady Boxing, yoga, spinning, aqua fit, and other classes, and basketball with the kids.
Documenting down to the minute as an exploration in the detail of a day.
The day of May 1, 2012 documented by activity type (large color swatches), specific activity (color coded icons), food/drink details in black icons, social media icons on the inner circle, emails sent and received for gmail (red) and work email (orange). Part II is the Daily Elevation where my personal distance above or below the ground plane is tracked and correlated to the activity time coding. The highest elevation is my apartment (21st floor) and the other higher elevation is my office (12th floor).
For The Chronicle Project for Art House Coop, but me and mailing/postmark days just don't get along well so it never got officially submitted :/
Best viewed large.
Big Data Can Generate Big Brainstorms
High Order Bit
Tuesday, 10/18/2011
Location: Grand Ballroom
Ken Goldberg (UC Berkeley and Hybrid Wisdom Labs)
Fitbit intraday step data, example from Quantified Self workshop. Data retrieved using Andrew Wilkinson's very helpful python-fitbit library. github.com/andrewjw/python-fitbit
[07/07/2017] The final 365 (albeit uploaded 2 weeks late, though the photo was taken on my birthday!)
I didn't do a zine for this year's birthday (instead I organized a citywide scavenger hunt) but here is a mini-zine for my final portrait.
Strobist: 2 35W bulbs, 2 feet from subject, no on-camera flash
Timeline data from ManicTIme, a very detail-focused activity tracker that really serves the needs of the true OCD data tracker.
I like it, but I'm not sure what people can make out of all the data it generates. At least not without writing your own tools. It does integrate Google Cal and Moves Data as plugin timelines, which is a nice detail.
The slices of time represent activity in different software, documents and web site. Down to 10sec intervals, if memory serves me right.
I've been having sleep problems, which has been exacerbated by my constant traveling.
Sleep is a complex issue... it has a major impact on the rest of life. It's also hard for an individual to think about, because you're, well, asleep. I'm trying out a variety of sleep aids, ranging from earplugs, pillows, pills, exercise, etc... etc... One of my first observations is it's hard for me to actually assess how well they are working.
I've not been convinced a traditional sleep clinic will be terribly useful, because it doesn't mimic my natural environment. I came across the FitBit, which is an accelerometer pedometer, which can be attached to one's wrist at night. It tracks your movement and gives you a quantitative measure of your sleep length and quality. I'm going to be comparing the different sleep aid methods and figuring out what works best for me.
Screenshots taken from Ernesto Ramirez' Quantified Existentialism blog medium.com/ernesto-ramirez/quantified-existentialism-4c96...
Seamless.com order history, created for QS workshop to demo timestamp logic. Data scraped from web, each bar represents a single order (date+price) and is colored to indicate the vendor. This could obviously do with more labels and interaction to reveal actual venue data like total spent, list of orders, most common meal etc.
(And before you ask: No, I don't cook. At all.)
Outline for upcoming Quantified Self workshop. See also: A Cornucopia of Quantification: QS apps + tools, Pt.1
This is an example of many tests I've been doing to track my progress against the progress of PD. More about this is in my Quantified Self presentation:
www.slideshare.net/kevinkrejci/fighting-parkinson-disease...
Multiple Intelligences online learning styles test, available online at site of Birmingham Grid for Learning: www.bgfl.org/bgfl/custom/resources_ftp/client_ftp/ks3/ict...
From: www.connectedaction.net
Connections among the Twitter users who recently mentioned quantifiedself when queried on January 20, 2011 scaled by numbers of followers.
NodeXL is available from www.codeplex.com/nodexl
The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
On January 7th, 2011, I uploaded a screenshot of the places in Europe I'd been to and geotagged. Now that I'm finished uploading my Europe 2020 pics, here's an updated map.
_______________________
I Get Around Europe Mar 1 2025cr
Timeline data from ManicTIme, a very detail-focused activity tracker that really serves the needs of the true OCD data tracker.
I like it, but I'm not sure what people can make out of all the data it generates. At least not without writing your own tools. It does integrate Google Cal and Moves Data as plugin timelines, which is a nice detail.
The slices of time represent activity in different software, documents and web site. Down to 10sec intervals, if memory serves me right.
From: www.connectedaction.net
Connections among the Twitter users who recently tweeted the word quantified self when queried on May 25, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.
A larger version of the image is here: www.flickr.com/photos/marc_smith/5760875146/sizes/o/
Top most between users:
@timoreilly
@quantifiedself
@harscoat
@edyson
@qsparis
@egadenne
@agaricus
@brunoaziza
@adriana872
@chloester
Graph Metric: Value
Graph Type: Directed
Vertices: 123
Unique Edges: 412
Edges With Duplicates: 137
Total Edges: 549
Self-Loops: 0
Connected Components: 10
Single-Vertex Connected Components: 9
Maximum Vertices in a Connected Component: 114
Maximum Edges in a Connected Component: 549
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.589258
Graph Density: 0.031853925
NodeXL Version: 1.0.1.169
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/
NodeXL is free and open and available from www.codeplex.com/nodexl
NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.
The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
Marc Smith on Twitter.
Seamless.com order history, created for QS workshop to demo timestamp logic. Data scraped from web, each bar represents a single order (date+price) and is colored to indicate the vendor. This could obviously do with more labels and interaction to reveal actual venue data like total spent, list of orders, most common meal etc.
(And before you ask: No, I don't cook. At all.)
Mejor aspecto que el anterior, pero sigo sin ver exactamente lo que buscaba: que la comunicación y la carga estén integradas en el dispositivo, sin necesidad de cables ni dongles que me pueda olvidar...
These are my full results from the Inside Tracker health analytics service. You can read my full review here: lifestreamblog.com/my-review-of-the-inside-tracker-health...
Jos de Boer talked about iSPEX @ QSAMS #7. For more information on iSpex: ispex.nl/ .
The Quantified Self Amsterdam meetup is modeled on the Bay Area Quantified Self Show & Tell meetings started in 2008 by Gary Wolf and Kevin Kelly in the Bay Area.
This is a regular show and tell for people who take advantage of various personal self-tracking tools and methods to gain more knowledge about themselves, others and the world around them. Come share what you are doing and learn from others. Topics include, but are not limited to:
* Self-experimentation
* Behavior monitoring
* Lifelogging, lifecaching, lifestreaming
* Location tracking
* Digitizing body info
* Biometric data
* Psychological self-assessments
* Medical self-diagnostics
* Personal genome sequencing
The Quantified Self blog: www.quantifiedself.org
Quantified Self Amsterdam Meetup: www.meetup.com/qsamsterdam
My ketones seem to be in a pretty good spot whether exogenous or liver produced. My running has improved (faster pace, no recovery, daily running).
I struggle with making dinner my final food for the day. Each day that gets a bit easier, but 8pm-10pm the snacks call to me. Particularly peanuts and chocolate chips!
Here are my numbers (26 days on keto)
Weight: Down 5.2 lbs : current weight: 128.6 lbs
BodyFat: Down 2.7% : current body fat: 9.6%
Blood Sugar: 88
Ketones: 1.0 mmol/L
Now I suspect my blood sugar is lower, but in order to avoid getting light headed during exercise I will often need a small amount of carbs (7g) is usually plenty for a 1-2 hour workout. #ketogenic #ketosis #keto #ketone #blood #ultrarunning #diet #biohacking #hflc #endurance #paleo #quantifiedself #burnfat
31 Likes on Instagram
4 Comments on Instagram:
5footking: Ummm wow! That's outstanding 👍👊👏!!
fermentedfoodguy: I am definitely not going into acidosis only ketosis. I am doing it for the mental clarity, avoiding bonking in races and sustained energy. It works great when I stay on the diet.