Application for pre-processing and visualization of electrodermal activity wearable data, presentation at 12.6.2017 13:15-14:45 Sonaatti 2, Tampere Hall, Tampere, Finland. EMBEC 2017 conference track on Data Based Analytics in Health care: From Sensors to Big Data.

1. Application for pre-processing and visualization
of electrodermal activity wearable data
Kari Suoja, Jari Liukkonen, Jari Jussila, Henna Salonius, Niina Venho, Virpi Sillanpää,
Vilma Vuori & Nina Helander

2. Electrodermal activity
• Electrodermal activity reflects the
activity of the sympathetic nervous
system and can be measured
through the changes in electrical
conductance of the skin
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0-20 Calm
21-40 Serene
41-60 Active
61-80 Worked up
81-100 Running high
Made simple with the EDA wearable

3. The measurement instrument
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- Prototype found valid for field research by the Finnish Institute of
Occupational Health in 2015

4. Case study – Trade fair
• EDA measurement data gathered from 10 sales
representatives marketing their company and its services
to buyers during one day (ca. 8-10 hours)
• These sort of events are usually somewhat hectic and
require ongoing focus and attention from the sales
personnel aiming to present their offerings to a potential
customer in a rather short time-slot, which can be
presumed to cause arousal to some extent
• Recognized need for automatic pre-processing and
visualization of the collected data
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5. From individual to group level
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MAANANTAI TIISTAI KESKIVIIKKO TORSTAI PERJANTAI LAUANTAI SUNNUNTAI
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6. OSS tool for pre-processing and
visualization of wearable data
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7. Multiple overlapping polygon
visualizations
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Trend curve Flower diagram

8. Data output in Excel
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9. Tool and Source Code Available
12.6.2017 9https://github.com/KariSuoja/MoodmetricDataViz

10. Thank you
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Contact
jari.j.jussila@tut.fi