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Estimating Intensity of Physical Activity: A Comparison of Wearable Accelerometer and Gyro Sensors and 3 Sensor Locations

• Juha Parkka, Miikka Ermes, Kari Antila, Mark van Gils, A. Manttari, Heidi Nieminen
• 2007 29th Annual International Conference of the…
• 2007

Automatic estimation of physical activity using wearable sensors can be used for promotion of a healthier lifestyle. In this study, accelerometers and gyroscopes attached to ankle, wrist and hip were… (More)

Multichannel bed pressure sensor for sleep monitoring

• J. Kortelainen, Mark van Gils, Juha Parkka
• 2012 Computing in Cardiology
• 2012

A bed sensor with multiple pressure sensitive non-contacting electrodes has been applied for unobtrusive monitoring during sleep. The novelty is in using multichannel algorithms to improve extraction… (More)

Advancing from offline to online activity recognition with wearable sensors

• Miikka Ermes, Juha Parkka, Luc Cluitmans
• 2008 30th Annual International Conference of the…
• 2008

Activity recognition with wearable sensors could motivate people to perform a variety of different sports and other physical exercises. We have earlier developed algorithms for offline analysis of… (More)

Automatic feature selection and classification of physical and mental load using data from wearable sensors

• Juha Parkka, Miikka Ermes, Mark van Gils
• Proceedings of the 10th IEEE International…
• 2010

Long-term monitoring of health is essential in many chronic conditions, but automatic monitoring is not yet utilized routinely with mental stress. Accelerometers, magnetometers, ECG, respiratory… (More)

Long-Term Subjective and Objective Sleep Analysis of Total Sleep Time and Sleep Quality in Real Life Settings

• Juho Merilahti, Antti M J Saarinen, Juha Parkka, Kari Antila, Elina Mattila, Ilkka Korhonen
• 2007 29th Annual International Conference of the…
• 2007

Sleep quality is one of the key elements of the human health status. By observing sleep patterns we can gain information about personal wellbeing. Consumer electronic sleep analysis solutions are now… (More)

A computationally light classification method for mobile wellness platforms

• Ville Kononen, Jani Mantyjarvi, Heidi Simila, Juha Parkka, Miikka Ermes
• 2008 30th Annual International Conference of the…
• 2008

The core of activity recognition in mobile wellness devices is a classification engine which maps observations from sensors to estimated classes. There exists a vast number of different… (More)

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