2014-01-22 Quantified Self Toronto - Sugar, Black Box, Photo Metadata, QS Sandbox, Data Theatre.png
QUANTIFIED SELF TORONTO JAN 22, 2014
Henry
Black Box Theory
Sugar - Mark
Type I diabetes)
Machines
It's hard to
helped!
stay motivated
Hard to get consistent
measures.
Nothing prepackaged
DE except very
is safe.
Standard advice
.
10111010
11001011
11000110
01001100
quantity
when tracking. + quality
My major metrics:
•Exercise
Nutrition
•Productivity
bland soup
Sleep
↓
し
is bad. cal from carbs?
Paleo? (ancestors?)
Sleep
as android
tellspec ☐
ס
You can't tell,
So you need to
measure.
food
Scanner
(prototype?)
takes
time
hard activity
Electromagnetism
•Finances Mint
•Mood?
→
Rescue Time also
Projects
(has APIs)
*
Polyphasic high
sleep
Protein
breakfast
Github has lots of cool scripts, viz
Awareness Personality? IPIPEO?
Mood: Requires consciousness """
Tracking w/o analysis → blackbox
Data Theatre · David 11
Self?:?
Can you
help?
audience
2222222
data
Complete
failure:
too hard
- The Stillness
×Monitor(contortions ely plities SarcasmomenLEGIBILITY(ex: mood)monitorclassification(engaged)insidersoutsiders(behind theScenes)Photo MetadataMining DmitryNikon2007-839.000 pic #759 photosاده0-5 stars on Flickr00000Lensestheavy! subjective,which one is the best? of courseEXIFO metadata + ratings fromLight Room↑
http://drewnoakes.com/code/exifExcelPivot tablesMy artistic tasteimproved fasterthan myskills☐18-200, but 105 micro qualitativelyrated 32kAI classification w/ Weka: or not? imagesJ48 classified everything as not ratedLow precision for Naive Bayes (Prism)and then wegave everyonea prize...Macarena\ | |-QS-Sandbox(EventBrite)Feb 222014い8 Mood? EEGs? Experimentdesign? Open-endedplatforms? Datawrangling? Viz?Sensors Experimentalgroups?Any statisticianswho would liketo help?Clickers? Understoodit?Sensors? Wechat?questions