Introduction - Moodmetric ENG

Moodmetric in Research Introduction

^{• The Moodmetric smart ring measures electrodermal activity in real time
• The technology is developed and owned by a Finnish company Vigofere Oy
• Electrodermal activity (EDA) is also known as skin conductance (SC) and galvanic skin response (GSR)
• The accuracy of the measured signal is comparable to laboratory devices and the research by the Finnish Institute of Occupational Health (Torniainen et al. 2015) has found the ring valid for field research}

The Moodmetric smart ring is a user-friendly way to capture electrodermal activity (EDA), which tells about the activation of the sympathetic nervous system. EDA measurement has been applied in psychophysiological research for over 100 years.

Moodmetric has brought the measuring of EDA from the laboratory to field research. This cost-efficient method enables research to be carried out on large groups for long periods of time. Moodmetric smart ring is a research tool for measuring continuously, in normal daily life as well as in long term.

Recently the Moodmetric smart ring has been used for, for example, research on mental load at work, customer experience, and social interaction.

The Moodmetric smart ring is primarily intended for long term and continuous measurement. It is well suited for weeks or months of 24/7 measurement, where you get most out of the ring, app and cloud features.

Moodmetric smart ring is also suitable for short-term studies that use raw EDA data. Time frames can be seconds or minutes and data collection can be done wirelessly. Check out the lesson Short-term measurements.

Clinical validation and publications

The Moodmetric measurement is widely applied in research. Studies including clinical validation:
• Research at University of Jyväskylä, Finland: The Moodmetric index correlates with the stress hormone cortisol (preliminary results, 2019)
• The Personal Health Informatics research group at Tampere University, Finland: the Moodmetric smart ring can provide information on the stressfulness of work-related situations almost as accurately as respective laboratory equipment designed to measure EDA (Pakarinen et al. 2019).

Access all publications here.