Wearable sensing and data analysis for mental stress and relaxation monitoring
We carry out active R&D work on wearable monitoring and data analysis for mental stress and relaxation monitoring.
We design and carry out
studies on mental stress and relaxation monitoring, and develop tools and methods
for data analysis, as well as sensors for monitoring. The data analysis
includes pre-processing and analysis of single-sensor signals, as well as
computation of combined indices using data from several sensors. The tools
include, for instance, mobile data acquisition applications, questionnaires,
data annotation tools, and tools for data visualisation.
We have conducted studies
on both short-term stress, laboratory studies, and long-term stress
on free-living stress over several months. Examples of signals we have used include:
electrocardiography (ECG), heart-rate variability (HRV), breathing rate, sleep
quality, blood pressure, physical activity, electro-encephalography (EEG), key
stroke profiling on computers and mobile devices, and questionnaires for personal
perception. In addition to direct physiological sensing, the context and the
environment are also relevant in monitoring of stress and relaxation.
Companies that we have collaborated with include, e.g. Firstbeat Technologies and our publications are
among the top publications in the world.
Where can we apply the
solutions for stress and relaxation monitoring?
The tools and analysis
methods can be applied to many application areas. In the past, they have been
used for occupational health programmes, rehabilitation, stress management
Objective measurement of
mental workload and relaxation is an active research topic currently. It is
being studied, for instance in the European Emphatic Products project and as part of the
European iCareNet network www.icarenet.eu. We have also
developed a sensor that is suitable for stress and relaxation monitoring.
“Relationship of Psychological and Physiological Variables in
Long-Term Self-Monitored Data During Work Ability Rehabilitation Program”, Pärkkä,
Juha; Merilahti, Juho; Mattila, Elina M.; Malm, Esko; Antila, Kari; Tuomisto,
Martti T.; Saarinen, Ari V.; Gils, Mark van; Korhonen, Ilkka. IEEE Transactions
on Information Technology in Biomedicine. Vol. 13 (2009) No: 2, 141 - 151
“Mobile diary for wellness management - Results on usage and
usability in two user studies”, Mattila, Elina M.; Pärkkä, Juha; Hermersdorf,
Marion; Kaasinen, Jussi; Vainio, Janne; Samposalo, Kai; Merilahti, Juho;
Kolari, Juha; Kulju, Minna; Lappalainen, Raimo; Korhonen, Ilkka. IEEE
Transactions on Information Technology in Biomedicine. Vol. 12 (2008) No: 4,
501 - 512