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The experience sampling method on mobile devices
The Experience Sampling Method (ESM) is used by scientists from various disciplines to
gather insights into the intra-psychic elements of human life. Researchers have used the …
gather insights into the intra-psychic elements of human life. Researchers have used the …
Voice for health: the use of vocal biomarkers from research to clinical practice
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
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 …
Personal sensing: understanding mental health using ubiquitous sensors and machine learning
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
[HTML][HTML] Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review
Stress is a major problem of our society, as it is the cause of many health problems and
huge economic losses in companies. Continuous high mental workloads and non-stop …
huge economic losses in companies. Continuous high mental workloads and non-stop …
[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 …
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 …
Urban mobility and activity space
Recent theoretical and methodological advances in urban sociology, including spatially
located data, provide new opportunities to consider the joint influence of mobility and place …
located data, provide new opportunities to consider the joint influence of mobility and place …
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 …
[HTML][HTML] Digital phenoty** for stress, anxiety, and mild depression: systematic literature review
Background: Unaddressed early-stage mental health issues, including stress, anxiety, and
mild depression, can become a burden for individuals in the long term. Digital phenoty** …
mild depression, can become a burden for individuals in the long term. Digital phenoty** …