Merging the exposome into an integrated framework for “omics” sciences
The exposome concept encourages holistic consideration of the non-genetic factors
(environmental exposures including lifestyle) that influence an individual's health over their …
(environmental exposures including lifestyle) that influence an individual's health over their …
Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables
The Emognition dataset is dedicated to testing methods for emotion recognition (ER) from
physiological responses and facial expressions. We collected data from 43 participants who …
physiological responses and facial expressions. We collected data from 43 participants who …
Advancements in affective disorder detection: Using multimodal physiological signals and neuromorphic computing based on snns
Currently, the integration of artificial intelligence (AI) techniques with multimodal
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …
Ethical considerations and checklist for affective research with wearables
As the popularity of wearables increases, so does their utility for studying emotions. Using
new technologies points to several ethical challenges to be considered to improve research …
new technologies points to several ethical challenges to be considered to improve research …
From face detection to emotion recognition on the framework of Raspberry pi and galvanic skin response sensor for visual and physiological biosignals
The facial and physiological sensor-based emotion recognition methods are two popular
methods of emotion recognition. The proposed research is the first of its kind in real-time …
methods of emotion recognition. The proposed research is the first of its kind in real-time …
A physiological signal database of children with different special needs for stress recognition
This study presents a new dataset AKTIVES for evaluating the methods for stress detection
and game reaction using physiological signals. We collected data from 25 children with …
and game reaction using physiological signals. We collected data from 25 children with …
The competitive esports physiological, affective, and video dataset
M Behnke, W Krzyżaniak, J Nowak, S Kupiński… - Scientific Data, 2025 - nature.com
Esports refers to competitive video gaming where individuals compete against each other in
organized tournaments for prize money. Here, we present the Competitive Esports …
organized tournaments for prize money. Here, we present the Competitive Esports …
Emotion recognition based on multimodal physiological signals using spiking feed-forward neural networks
Real-time emotion recognition via wearable devices is a pivotal component of health
monitoring and human–computer interaction. To realize this objective, a spiking feed …
monitoring and human–computer interaction. To realize this objective, a spiking feed …
Weakened sympathetic response and lower parasympathetic activity in intimate partner violence perpetrators when empathizing: Influence of autonomous activation …
J Comes‐Fayos, IR Moreno, M Lila… - Aggressive …, 2024 - Wiley Online Library
The autonomic nervous system (ANS) functioning has been proposed as a relevant method
to characterize the therapeutic needs of intimate partner violence (IPV) perpetrators …
to characterize the therapeutic needs of intimate partner violence (IPV) perpetrators …
Mentalhealthai: Utilizing personal health device data to optimize psychiatry treatment
M Shukla, O Seneviratne - AMIA Annual Symposium …, 2024 - pmc.ncbi.nlm.nih.gov
Mental health disorders remain a significant challenge in modern healthcare, with diagnosis
and treatment often relying on subjective patient descriptions and past medical history. To …
and treatment often relying on subjective patient descriptions and past medical history. To …