Application for pre-processing and visualization of electrodermal activity wearable data

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Kari Suoja, Jari Liukkonen, Jari Jussila, Henna Salonius, Niina Venho, Virpi Sillanpää, Vilma Vuori & Nina Helander

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 Calm21-40 Serene41-60 Active61-80 Worked up81-100 Running high

Made simple with the EDA wearable

The measurement instrument

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- Prototype found valid for field research by the Finnish Institute of Occupational Health in 2015

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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From individual to group level

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MAANANTAI TIISTAI KESKIVIIKKO TORSTAI PERJANTAI LAUANTAI SUNNUNTAI19.9. 20.9. 21.9. 22.9. 23.9. 24.9. 25.9.

OSS tool for pre-processing and visualization of wearable data

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Multiple overlapping polygon visualizations

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Trend curve Flower diagram

Data output in Excel

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Tool and Source Code Available

12.6.2017 9https://github.com/KariSuoja/MoodmetricDataViz

Thank you

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Contactjari.j.jussila@tut.fi

Application for pre-processing and visualization of electrodermal activity wearable data

Data & Analytics