[HTML][HTML] 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 …
Automated sensing of daily activity: A new lens into development
K de Barbaro - Developmental psychobiology, 2019 - Wiley Online Library
Rapidly maturing technologies for sensing and activity recognition can provide
unprecedented access to the complex structure daily activity and interaction, promising new …
unprecedented access to the complex structure daily activity and interaction, promising new …
Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support
Background The just-in-time adaptive intervention (JITAI) is an intervention design aiming to
provide the right type/amount of support, at the right time, by adapting to an individual's …
provide the right type/amount of support, at the right time, by adapting to an individual's …
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 …
[HTML][HTML] Large-scale wearable data reveal digital phenotypes for daily-life stress detection
E Smets, E Rios Velazquez, G Schiavone… - NPJ digital …, 2018 - nature.com
Physiological signals have shown to be reliable indicators of stress in laboratory studies, yet
large-scale ambulatory validation is lacking. We present a large-scale cross-sectional study …
large-scale ambulatory validation is lacking. We present a large-scale cross-sectional study …
Heart rate variability metrics for fine-grained stress level assessment
Abstract Background and Objectives: In spite of the existence of a multitude of techniques
that allow the estimation of stress from physiological indexes, its fine-grained assessment is …
that allow the estimation of stress from physiological indexes, its fine-grained assessment is …
Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research
D Spruijt-Metz, E Hekler, N Saranummi… - Translational …, 2015 - academic.oup.com
Adverse and suboptimal health behaviors and habits are responsible for approximately 40%
of preventable deaths, in addition to their unfavorable effects on quality of life and …
of preventable deaths, in addition to their unfavorable effects on quality of life and …
Sense2Stop: a micro-randomized trial using wearable sensors to optimize a just-in-time-adaptive stress management intervention for smoking relapse prevention
Background Relapse to smoking is commonly triggered by stress, but behavioral
interventions have shown only modest efficacy in preventing stress-related relapse …
interventions have shown only modest efficacy in preventing stress-related relapse …
puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation
Recent researches have demonstrated the feasibility of detecting smoking from wearable
sensors, but their performance on real-life smoking lapse detection is unknown. In this …
sensors, but their performance on real-life smoking lapse detection is unknown. In this …
Finding significant stress episodes in a discontinuous time series of rapidly varying mobile sensor data
Management of daily stress can be greatly improved by delivering sensor-triggered just-in-
time interventions (JITIs) on mobile devices. The success of such JITIs critically depends on …
time interventions (JITIs) on mobile devices. The success of such JITIs critically depends on …