[HTML][HTML] Wearable-based affect recognition—A review

P Schmidt, A Reiss, R Dürichen, K Van Laerhoven - Sensors, 2019 - mdpi.com
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 …

[HTML][HTML] A systematic review of emotion recognition using cardio-based signals

SNMS Ismail, NAA Aziz, SZ Ibrahim, MS Mohamad - ICT Express, 2024 - Elsevier
There is a growing demand for emotion recognition systems (ERS) to be adopted in
everyday life from various fields, particularly automotive, education, and social security …

Behavioral and physiological signals-based deep multimodal approach for mobile emotion recognition

K Yang, C Wang, Y Gu, Z Sarsenbayeva… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the rapid development of mobile and wearable devices, it is increasingly possible to
access users' affective data in a more unobtrusive manner. On this basis, researchers have …

Comparison of electrodermal activity from multiple body locations based on standard EDA indices' quality and robustness against motion artifact

MB Hossain, Y Kong, HF Posada-Quintero, KH Chon - Sensors, 2022 - mdpi.com
The most traditional sites for electrodermal activity (EDA) data collection, palmar locations
such as fingers or palms, are not usually recommended for ambulatory monitoring given that …

Automatic motion artifact detection in electrodermal activity data using machine learning

MB Hossain, HF Posada-Quintero, Y Kong… - … Signal Processing and …, 2022 - Elsevier
Background and objective Electrodermal activity (EDA) has gained popularity in recent
years for diverse applications such as emotion and stress recognition; assessment of pain …

[HTML][HTML] A comparison of emotion recognition system using electrocardiogram (ECG) and photoplethysmogram (PPG)

SNMS Ismail, NAA Aziz, SZ Ibrahim - Journal of King Saud University …, 2022 - Elsevier
Abstract Electrocardiogram (ECG) and Photoplethysmogram (PPG) are derived from
electrical signals of the heart activities and frequently used to diagnose and monitor …

Mobile emotion recognition via multiple physiological signals using convolution-augmented transformer

K Yang, B Tag, Y Gu, C Wang, T Dingler… - Proceedings of the …, 2022 - dl.acm.org
Recognising and monitoring emotional states play a crucial role in mental health and well-
being management. Importantly, with the widespread adoption of smart mobile and …

Detection of artifacts in ambulatory electrodermal activity data

S Gashi, E Di Lascio, B Stancu, VD Swain… - Proceedings of the …, 2020 - dl.acm.org
Recent wearable devices enable continuous and unobtrusive monitoring of human's
physiological parameters, like eg, electrodermal activity and heart rate, over long periods of …

Survey on emotion sensing using mobile devices

K Yang, B Tag, C Wang, Y Gu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The rapid development and ubiquity of mobile and wearable devices promises to enable
researchers to monitor users' granular emotional data in a less intrusive manner …

Reading the room: Automated, momentary assessment of student engagement in the classroom: Are we there yet?

B DiSalvo, D Bandaru, Q Wang, H Li… - Proceedings of the ACM on …, 2022 - dl.acm.org
When in front of a classroom, a skilled teacher can read the room, identifying when students
are engaged, frustrated, distracted, etc. In recent years we have seen significant changes in …