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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)
ITP GT 2729 Quantified Self About Town
Project 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 is
HIGHEST
TRANSIT
RIDERSHIP
in U.S.
Average time
spent in NYC
subway :
48MINUTES
1.5MILLION
commuters
each day
677
MILLION
SUBWAY
RIDERSHIP
vs.
124 million
bus ridership
Source :
http://web.mta.info/nyct/facts/ridership/#chart_s
http://en.wikipedia.org/wiki/List_of_U.S._cities_with_high_transit_ridership
http://www.nydailynews.com/new-york/new-yorkers-havelongest-commute-times-article-1.1426047
ITP GT 2729 Quantified Self About Town
Project Proposal Presentation
PROJECT CONCEPT
Brainwave
Sensor
RailSense
App
Mental State
ITP GT 2729 Quantified Self About Town
Project Proposal Presentation
RAILSENSE AND THE CITY
Brainwave
Sensor
RailSense
App
Mental State
Subway Rider
Mental States
G
Metropolitan Transit
Authority
MTA Turnstile
Data
DATA ANALYSIS
WEB APPLICATION
Real-Time
Result
Real-Time
Result
NYC Subway Rider
ITP GT 2729 Quantified Self About Town
Project Proposal Presentation
WORK FLOW
Brainstorming
Tools Exploration
Proposal Write-up
Application
Development
Deployment
Final
Presentation
1 3
2 4
5
6
ITP GT 2729 Quantified Self About Town
Project Proposal Presentation
RAILSENSE APP
ITP GT 2729 Quantified Self About Town
Project Proposal Presentation
RAILSENSE AND THE CITY
WEB APPLICATION
ITP GT 2729 Quantified Self About Town
Project 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.
THANK YOU!

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Rail sense midterm presentation

  • 1. 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)
  • 2. ITP GT 2729 Quantified Self About Town Project 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 is HIGHEST TRANSIT RIDERSHIP in U.S. Average time spent in NYC subway : 48MINUTES 1.5MILLION commuters each day 677 MILLION SUBWAY RIDERSHIP vs. 124 million bus ridership Source : http://web.mta.info/nyct/facts/ridership/#chart_s http://en.wikipedia.org/wiki/List_of_U.S._cities_with_high_transit_ridership http://www.nydailynews.com/new-york/new-yorkers-havelongest-commute-times-article-1.1426047
  • 3. ITP GT 2729 Quantified Self About Town Project Proposal Presentation PROJECT CONCEPT Brainwave Sensor RailSense App Mental State
  • 4. ITP GT 2729 Quantified Self About Town Project Proposal Presentation RAILSENSE AND THE CITY Brainwave Sensor RailSense App Mental State Subway Rider Mental States G Metropolitan Transit Authority MTA Turnstile Data DATA ANALYSIS WEB APPLICATION Real-Time Result Real-Time Result NYC Subway Rider
  • 5. ITP GT 2729 Quantified Self About Town Project Proposal Presentation WORK FLOW Brainstorming Tools Exploration Proposal Write-up Application Development Deployment Final Presentation 1 3 2 4 5 6
  • 6. ITP GT 2729 Quantified Self About Town Project Proposal Presentation RAILSENSE APP
  • 7. ITP GT 2729 Quantified Self About Town Project Proposal Presentation RAILSENSE AND THE CITY WEB APPLICATION
  • 8. ITP GT 2729 Quantified Self About Town Project 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.

Hinweis der Redaktion

  1. Commuting is Mandatory
  2. Flood coverage area provides one measure of impact but was not the only way people were affected and does not provide an indicator for a neighborhood’s recovery period. Rockefeller Foundation, some of the major ways people’s daily lives were impacted included: school closures, home damage, public transit delays, and power outages. Limited by what data was publicly available, we attempted to define an impact and recovery index and categorize neighborhoods into groups by examining building damage, transportation patterns, and school attendance.