Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

Despite much progress with physical activity assessment, the limitations concerning the
accurate measurement of physical activity are often amplified in young people due to the …

For physical activity recognition, smartphone sensors, such as an accelerometer and a
gyroscope, are being utilized in many research studies. So far, particularly, the …

This paper proposes a wearable device-based system to monitor the abnormal conditions of
a driver, including stress, fatigue, and drowsiness. The system measures the motional and …

Physical activity monitoring has recently become an important field in wearable computing
research. However, there is a lack of a commonly used, standard dataset and established …

This article presents a review of signals used for measuring physiology and activity during
sleep and techniques for extracting information from these signals. We examine both clinical …

Background: Detecting of human movements is an important task in various areas such as
healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile …

The objective assessment of physical activity levels through wearable inertial-based motion
detectors for the automatic, continuous and long-term monitoring of people in free-living …

Comprehensive, continuous quantitative monitoring of intricately orchestrated physiological
processes and behavioral states in living organisms can yield essential data for elucidating …

Modern smartphones and smartwatches are equipped with inertial sensors (accelerometer,
gyroscope, and magnetometer) that can be used for Human Activity Recognition (HAR) to …