Rail sense midterm presentation

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RAIL SENSE Quantifying Mental Engagement of NYC Subway Rider ITP GT 2729 QUANTIFIED SELF ABOUT TOWN MID-TERM PROJECT PERESENTATION Dimas Rinarso Putro (drp354) Kania Azrina (ka1531)

Transcript of Rail sense midterm presentation

Page 1: Rail sense midterm presentation

RAIL SENSEQuantifying Mental Engagement of

NYC Subway RiderITP GT 2729 QUANTIFIED SELF ABOUT TOWN

MID-TERM PROJECT PERESENTATIONDimas Rinarso Putro (drp354)

Kania Azrina (ka1531)

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ITP GT 2729 Quantified Self About TownProject Proposal Presentation

WHY SUBWAY“Feelings of happiness, life satisfaction and the sense that one's activities are worthwhile all decrease

with every successive minute of travel to work.” (Office of UK National

Statistic, 2014).

NYC isHIGHESTTRANSIT

RIDERSHIPin U.S. Average time

spent in NYC subway :

48MINUTES

1.5 MILLION

commuters each

day

677MILLIONSUBWAY

RIDERSHIPvs.

124 millionbus ridership

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ITP GT 2729 Quantified Self About TownProject Proposal Presentation

PROJECT CONCEPT

BrainwaveSensor

RailSenseApp

Mental State

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ITP GT 2729 Quantified Self About TownProject Proposal Presentation

RAIL SENSE AND THE CITY

BrainwaveSensor

RailSenseApp

Mental State

Subway RiderMental States G

Metropolitan TransitAuthority

MTA TurnstileData

DATA ANALYSIS

WEB APPLICATION

Real-TimeResult

Real-TimeResult

NYC Subway Rider

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ITP GT 2729 Quantified Self About TownProject Proposal Presentation

WORK FLOWBrainstorming

Tools Exploration

Proposal Write-up

ApplicationDevelopment

Deployment

FinalPresentation

1 3

2 4

5

6

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ITP GT 2729 Quantified Self About TownProject Proposal Presentation

RAILSENSE APP

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ITP GT 2729 Quantified Self About TownProject Proposal Presentation

RAIL SENSE AND THE CITY

WEB APPLICATION

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ITP GT 2729 Quantified Self About TownProject Proposal Presentation

CHALLENGES LIMITATIONS

Accuracy and calibrations of the Mindwave sensors.

Power source to accommodate data

collection for full day experiments.

Limitations to the number of sample and the consistency of the

data.Low penetration

potential for the IOS and sensors to be natively used by

subway commuters in a large scale.

Unavailability of GPS in underground, requires more user interaction during the lifelogging.

Multiple other factor that can affect brain activity

are subject to parameters beyond the scope of experiments.

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THANK YOU!