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[HTML][HTML] Wearable-based affect recognition—A review
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 …
natural and social sciences. Affect recognition research aims to detect the affective state of a …
Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …
decades. In particular, physiological signals are widely used to detect and classify affective …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
cStress: towards a gold standard for continuous stress assessment in the mobile environment
Recent advances in mobile health have produced several new models for inferring stress
from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical …
from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical …
Mobile learning: Small devices, big issues
Over the past 10 years mobile learning has grown from a minor research interest to a set of
significant projects in schools, workplaces, museums, cities and rural areas around the …
significant projects in schools, workplaces, museums, cities and rural areas around the …
Facial-expression recognition: An emergent approach to the measurement of tourist satisfaction through emotions
Purpose The employment of facial-expression recognition to analyse emotions constitutes a
potential instrument for the measurement of customer satisfaction in the tourism sector. The …
potential instrument for the measurement of customer satisfaction in the tourism sector. The …
Continuous inference of psychological stress from sensory measurements collected in the natural environment
Repeated exposures to psychological stress can lead to or worsen diseases of slow
accumulation such as heart diseases and cancer. The main challenge in addressing the …
accumulation such as heart diseases and cancer. The main challenge in addressing the …
New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet
T Glenn, S Monteith - Current psychiatry reports, 2014 - Springer
With the rapid and ubiquitous acceptance of new technologies, algorithms will be used to
estimate new measures of mental state and behavior based on digital data. The algorithms …
estimate new measures of mental state and behavior based on digital data. The algorithms …
Automatic motion artifact detection in electrodermal activity data using machine learning
Background and objective Electrodermal activity (EDA) has gained popularity in recent
years for diverse applications such as emotion and stress recognition; assessment of pain …
years for diverse applications such as emotion and stress recognition; assessment of pain …
Affective state prediction from smartphone touch and sensor data in the wild
Knowledge of users' affective states can improve their interaction with smartphones by
providing more personalized experiences (eg, search results and news articles). We present …
providing more personalized experiences (eg, search results and news articles). We present …