Estimating individualized daily self-reported affect with wearable sensors
S Yan, H Hosseinmardi, HT Kao… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Wearable sensors (smart watches, health/fitness trackers, etc.) are experiencing an
explosion in popularity. Their pervasiveness allows for effective data collections to quantify …
explosion in popularity. Their pervasiveness allows for effective data collections to quantify …
Affect estimation with wearable sensors
Affective states are associated with people's mental health status and have profound impact
on daily life, thus unobtrusively understanding and estimating affects have been brought to …
on daily life, thus unobtrusively understanding and estimating affects have been brought to …
Multi-target affect detection in the wild: an exploratory study
P Schmidt, R Dürichen, A Reiss… - Proceedings of the …, 2019 - dl.acm.org
Affective computing aims to detect a person's affective state (eg emotion) based on
observables. The link between affective states and biophysical data, collected in lab …
observables. The link between affective states and biophysical data, collected in lab …
A system for collecting emotionally annotated physiological signals in daily life using wearables
S Saganowski, M Behnke… - … and Demos (ACIIW), 2021 - ieeexplore.ieee.org
Several obstacles have to be overcome in order to recognize emotions and affect in daily
life. One of them is collecting a large amount of emotionally annotated data necessary to …
life. One of them is collecting a large amount of emotionally annotated data necessary to …
Wearable affect and stress recognition: A review
P Schmidt, A Reiss, R Duerichen… - arXiv preprint arXiv …, 2018 - arxiv.org
Affect recognition aims to detect a person's affective state based on observables, with the
goal to eg provide reasoning for decision making or support mental wellbeing. Recently …
goal to eg provide reasoning for decision making or support mental wellbeing. Recently …
[HTML][HTML] Integrating wearable sensor data and self-reported diaries for personalized affect forecasting
Emotional states, as indicators of affect, are pivotal to overall health, making their accurate
prediction before onset crucial. Current studies are primarily centered on immediate short …
prediction before onset crucial. Current studies are primarily centered on immediate short …
Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing
In the realm of physiological-based affective computing, significant progress has been
witnessed in machine learning over the last two decades. Nevertheless, the lack of …
witnessed in machine learning over the last two decades. Nevertheless, the lack of …
SenseGraph: Affect Self-monitoring and Tagging Tool with Wearable Devices
S Alpers, KI Benţa - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Affective computing systems require unobtrusive and non distracting system setups
especially for the measurement and recording of the physiological signals. Implementing …
especially for the measurement and recording of the physiological signals. Implementing …
State affect recognition using smartphone sensing data
Momentary experiences of positive and negative emotionality---also referred to as state
affect---are core components of well-being and performance. The ability to unobtrusively …
affect---are core components of well-being and performance. The ability to unobtrusively …
The affective computing approach to affect measurement
Affective computing (AC) adopts a computational approach to study affect. We highlight the
AC approach towards automated affect measures that jointly model machine-readable …
AC approach towards automated affect measures that jointly model machine-readable …