Moodmetric data analytics tool

The Moodmetric data analytics tool is created to support research and development projects related to EDA (electrodermal activity) measurements.

The tool enables researchers and developers to quickly process and visualize large Moodmetric data sets in uniform manner. It generates both group and individual level reports based on input data from wearable devices. The tool is released as open source for anyone to benefit of the Moodmetric measurement data in various use cases.

Download the Moodmetric data visualization tool instruction here.

For more information, contact
Jari Jussila
[email protected]
+358 40 717 8345

Electrodermal activity measured by the Moodmetric ring

Electrodermal activity

With any sympathetic nervous system activation, skin reacts and becomes a better conductor of electricity. This can result from emotional, cognitive or other psychological origin. The phenomenon is known as electrodermal activity (EDA) and it is widely adopted in psychological research (1). Other commonly used terms for this phenomenon are skin conductance response and galvanic skin response.

EDA is generated by the activity of the sweat glands.  Moodmetric measures the palmar skin on your finger. The palmar skin is the recommended EDA measurement location, since it has the highest eccrine sweat gland density (2). You can measure EDA elsewhere as well but the reliability is not as high or as easily achieved.

The unconscious actions of the human body are regulated by the autonomic nervous system. It consists of the sympathetic part and the parasympathetic part. The parasympathetic part controls the body’s rest-and-digest functions and the sympathetic part controls the fight-or-flight reactions. With EDA, we can examine the latter.

The sweat glands are exclusively innervated by the sympathetic nervous system. This makes EDA an ideal measure for sympathetic activation (2). Electrodermal activity correlates to general cognitive and emotional intensity, and high responses are caused by e.e. stress, enthusiasm, anxiety, joy, anger (1, 3).

Mobile EDA devices have been used by scientists for some time (2, 4). The Moodmetric ring is an unobtrusive option to follow EDA responses real-time and in long term.

Signal accuracy

The signal accuracy has been proven in a study of 24 people by the Finnish Institute of Occupational Health by J. Torniainen et al.. The accuracy against a laboratory grade reference was found to be 83 %. They conclude:

“Clearly the ring sensor can be used to measure a valid EDA signal as indicated by the similarity of both event-related responses and the calculated features. The accuracy of the Moodmetric EDA Ring is adequate for psychological and physiological research when weighted against the advantage of conducting ecologically valid experiments outside laboratory conditions.”

The results were accepted for publication in the 2015 conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015, August 25-29).

The Moodmetric measurement has also been proven to be accurate by THe University of Tampere, Finland. The correlation with the reference equipment Nexus-10-MK II was good. Comparison details in charts below.

With skin conductance level (SCL) we refer here to raw measured skin conductance without any filtering. The figures below show the comparison of the two devices. 

References

1 Mendes, W.B. (2009). Assessing the autonomic nervous system. In: Harmon-Jones   E. ja Beer J.S. Methods in social neuroscience. New York: Guilford Press. p. 118-147.

2 Setz C., Arnrich B., Schumm J. and La R. (2010) Discriminating Stress From Cognitive Load Using a Wearable EDA Device. IEEE Trans. Inf. Technol. Biomed. 14(2). p. 410-417.

3 Nikula R. (1991) Psychological correlates of nonspecific skin conductance responses. Psychophysiology. 28(1). p.86-90.

4 Poh M.Z, Swenson N.C. and Picard R.W. (2010) A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity. IEEE Trans. Biomed. Eng. 57(4). p. 1243-1252.

 

 

Moodmetric at Emotion Hack Day

 

Emohackkollaasi

The University of Helsinki celebrated its 375th anniversary with the Helsinki Challenge competition, that was launched in 2014.

The competion received more than 140 registrations, and after a long selection process – including startup-type pitching –  the winner was selected at the end of 2015.

NEMO – Natural Emotionality in Digital Interaction,  received €250,000 for realising the team’s idea: to add empathy to the internet.

Digital systems are not designed to consider emotions. As a result, the tools we have for expressing our emotions online are severely lacking in quality. This in turn inhibits empathy, the mechanisms that allow people to understand each other, connect and collaborate.

The research team including Katri Saarikivi, Tommi Makkonen and Valtteri Wikström have a huge task in front of them. Part of their project is to include others with events like the Emotion Hack Day, that Moodmetric was also invited to participate.

The event took place simultaneously in Helsinki and Montreal, and gathered talented people from all work backgrounds to spend 24 hours to generate ideas around digitalizing emotions.

hackdaybegin2

Moodmetric sponsored the event with the Moodmetric rings and SDKs for teams interested in using GSR in their project:

‘It is always fun to work with a new wearable technology and think of how it can be leveraged in every day life. Also, working with a company that takes pride in making the data interface easy to work with is refreshing, since it allows us to focus on the creative aspects, instead of the device interface.’  -André

The submissions are one step towards online presence – with emotions.