talk london quantified self meetup (~sept 2013)

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a few ideas by Rasmus Petersen NOBLACKBOX Cambridge Ltd

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a few ideas by

Rasmus PetersenNOBLACKBOX Cambridge Ltd

[Marshall and Shipman 1995]

Come again?

Context 2

Correlation??

DATA 2

DATA 1

Diet?

DATA 3

Mood?Context 1

Software requirements?

ComputerSelf-tracker

Experts(and their algorithms)

Software stakeholders

Example time!

12/03/2013 Oatmeal;200g, blueberries;50g, orange juice;50ml,ham and cheese sandwich; ...

13/3/2013 Pizza;300g, Milk;200ml, ...

App output(very friendly app?)

Example: understanding diet I

Meals?

Example: understanding diet II

13/03/2013

12/03/2013

Oatmeal

200g

Blueberries

50g

Orange juice50mlHam and cheese sandwich

…….

Pizza

300g

Milk 200ml

Example: encoding diet data

Computer: “Some amount of encoding is required of you!”

You: “Computer, I showed you how I want it done - now do the rest!”

Computer: “Hey, I didn’t know what to do with this diet data!”

Computer: “All done!”

Output: diet data with meal informationInput:

diet data without meal information

1

2

3

4

5

6

Breakfast

Lunch

Dinner

Orange juice

BlueberriesOatmeal

Ham and cheese sandwich

12/03/2013

Example: Quantification view..

Oatmeal

FOOD PER

MEAL

THE DIET ALGORITHM

+OWN CALORIE CONVERSION

TABLE+ EXPERT

VARIABLE

SOMEVARIABLE

THE MOOD ALGORITHM

+ EXPERTVARIABLE +

ANOTHER EXPERT

VARIABLE

Example: Diet and mood analysis

Mood

Diet

breakfast

lunch dinner breakfast

lunch dinner

So, you got to put in some work to get ..

Welcome to share any thoughts:[email protected]@gmail.com

My structural analysis blog:www.keepingtheresearchalive.info

As well as: www.rasmusrp.info

Thank you!

@RasmusRPetersen