Recent research shows that the Moodmetric ring is an accurate tool for measuring EDA

Prediction of Self-Perceived Stress and Arousal Based on Electrodermal Activity – a paper by Tomppa Pakarinen, Julia Pietilä and Hannu Nieminen has been presented at the European Biomedical Conference EMBC in Berlin in July.

The researchers were keen to understand how individuals perceive stress and how devices can capture it. The need for this kind of study has been there for a long time. Today, prolonged stress is a common cause of work-related health problems and has major negative impact on employee wellbeing and productiveness. Being able to measure exposure to stress long term would provide a valuable tool for improving workplace and personal wellbeing and potentially reduce health-related problems.

In contrast to some earlier studies, the researchers in this study attempted to simulate actual work-related stress rather than induce extreme reactions.

Electrodermal activity (EDA) in evaluation of mental state

Questionnaires are commonly used to measure the individual’s subjective perception of stress. Physiological measurements are used for assessing the physiological responses related to stress and arousal. The most common measures are heart rate variability (HRV), electrodermal activity (EDA), heart rate, electroencephalography, respiration, and skin temperature. In previous research, HRV has been the most commonly used method.

Electrodermal activity (EDA) reflects the functions of the autonomic nervous system and was chosen to be applied in this study. It is often used for the evaluation of different mental states such as short and long-term stress. In the study, test subjects were exposed to a 3-phase test (relaxation, arousal, stress) during which EDA was recorded, and the self-perceived stress and arousal were assessed.

The results are promising for the use of EDA as a long-term measurement of work-related stress

In this study, the research team was able to reliably classify relaxation, arousal and stress-inducing phases of simulated work with high accuracy (94.1% with BIOPAC, 82.8% with Moodmetric smart ring), using a number of EDA features.

When comparing EDA to subjective questionnaires, the self-perceived stress and arousal were classified with much lower accuracy of 60.5–72.2%. Based on the results, it is possible that individuals are less able to recognize and interpret the level of stress they are experiencing in a particular situation than the measuring devices reading their EDA.

Overall the results are promising for the use of EDA as a long-term measurement of stress at work.

For Moodmetric the research is an important, continued validation of accuracy. The easy-to-use Moodmetric smart ring can provide information on the stressfulness of work-related situations almost as accurately as respective laboratory equipment designed to measure EDA.

Tomppa Pakarinen, Julia Pietilä, Hannu Nieminen. 2019. Prediction of Self-Perceived Stress and Arousal Based on Electrodermal Activity.
41st International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Contacts:

Moodmetric
Niina Venho, CEO, +358 40 710 0487, [email protected]

Research team
The Personal Health Informatics research group at Tampere University, Finland
Hannu Nieminen, D.Sc. and head of the research. [email protected]
Tomppa Pakarinen,  [email protected]

More about Moodmetric in research

Do you study stress, customer experience, attention or decision making?

Attention and focus relieve stress

The Moodmetric measurement gives accurate and real time data on cognitive and emotional load of an individual. Use cases below give a snapshot on what kind of research it can be applied to. These are just a handful of examples. Electrodermal activity is a signal with great and for most unused potential in field research.

Stress measurement with Moodmetric

Positive stress is a good thing and when in control, it takes us forward. Chronic stress reduces productivity, creativity and job satisfaction and it is a risk for physical and psychological health. It is not easy to catch signals early and stress might not be detected before it has reached harmful levels.

Questionnaires are subjective and bound to a certain moment. Preventive stress management needs continuous and long term measurement. The Moodmetric ring is intended for weeks and months of use. The mobile app offers a real time view which enables insights that can be actioned immediately.

Even though the Moodmetric measurement is primarily intended for use at occupational health, the real time measurement enables several kinds of research. Below are some example use cases to give a picture of it´s possibilities:

Customer experience

A customer is testing a new shopping center virtually. The center is equipped with innovative implementations, including parking, navigating inside the center, paying in the shops (only mobile payment) etc. The pilot customers´ opinion have a major significance on the final drawings and the pilot is heavily studied. The Moodmetric measurement shows instantly and in real time the pain points – when the experience is getting from smooth to troublesome. The Moodmetric levels increase in seconds when the customer is perplexed.

A much simpler example would be e.g. driving through a car washing lane. How many of the customers actually get terrified inside, with not way of getting out in the middle? Could this be eased out somehow?

The Moodmetric measurement can be used to tracking stress levels in any environment, inside or out in the woods. It suits to observing a person in different situations, like choosing clothes. Which print makes the person react?

Gaming

Mobile and desktop games can be extremely agitating. Chasing, fighting, racing and performing dangerous tasks is enervating. The sympathetic nervous system of the player is active, as the body does not understand that the threat is just an illusion created by the game developer.

A game can also be soothing, like puzzles. Focus is needed but vigilance not.

What kind of a game is yours and what is the target audience? What if you could design games that really calm down the sympathetic nervous system – a game that you could wholeheartedly recommend e.g. for kids with concentration difficulties?

Pay attention! – Study focus with Moodmetric

We make better decisions, our movements are correct and precise, and we make better analysis when we pay attention. Really pay attention by not letting noises, lights, phone, emails or the smell of lunch distract us.

The Moodmetric index of 1 to 100 tells our arousal level. When focused, the level is below 30, in most cases below 20. Full focus on the task at hand might show a steady level of 12 with almost a straight electrodermal activity curve on the Moodmetric mobile app. The person is far from being sleepy (although in the evening at the sofa the numbers might be exactly the same), but fully focused.

This does not necessarily need an isolated environment. Most people can find their way to reach focus no matter the surroundings. But as it is not easy, many companies design spaces and areas inside their offices that enhance concentration.

Sports

What kind of training methods provide the best results? The Moodmetric measurement makes it possible to better understand what level of focus the athlete reaches. Interventions such as mental exercises can tested and found out the ones with the best results for improving concentration. The measurement also provides insights as to when recovery from practice is sufficient. The app diary helps to analyse which activities should be toned down or avoided in order to benefit optimally from training.

 

Interested to know more about the Moodmetric measurement and why the Moodmetric ring is especially well suited to measure electrodermal activity?

Read our recently published articles starting with:

PART 1: Fight or flight response

Applications in research and ongoing projects:

Research

Or contact us directly:
Niina Venho / CEO
niina. [email protected]

The Moodmetric cloud service is now open

Moodmetric cloud service

The Moodmetric cloud service is now open. The Moodmetric app data can be uploaded to cloud by obtaining cloud credentials.

The cloud service enables easy follow-up of the measurement trends and remote monitoring. It keeps the data safe even if the user´s phone is broken or gets lost.

The Moodmetric cloud service view

The users can synchronize data from several smart rings to the cloud platform, and also export the data as a CSV-file, to match Moodmetric data with other information.. The platform includes also a service for group monitoring, e.g. for monitoring the stress of teams or other organizational units. The platform provides also APIs for accessing the data and enabling to build third-party services.

The data sync from mobile to app is by default set to every three hours when within WiFi connection. The cloud data is thus possible to view almost real-time.

More information on using the cloud and applying the API (application programming interface) at our research site.

You can order the Moodmetric smart ring here

Corporate and research requests: [email protected]

 

 

 

 

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 and parasympathetic part. The parasympathetic part controls the body’s rest-and-digest functions and the sympathetic part controls the fight-or-flight reactions. By examining electrodermal activity we can understand the sympathetic nervous system reactions.

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 cognitive and emotional arousal, and high responses are caused by e.g. 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).

Link to the article

The Moodmetric measurement accuracy has also been studied at the University of Tampere, Finland in 2014. 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. 

Further reading in an article by Jari Torniainen and Benjamin Cowley, published in August 2016:

A short review and primer on electrodermal activity in human computer interaction applications

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.