ArticleScientific data2019
A dataset of continuous affect annotations and physiological signals for emotion analysis.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence for the Analysis of Biometric Data from Wearables in Education: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Social Physiology: Human homeostasis is more efficient in social proximity.Science advances · 2026Article
- Physiological responses to emotional video stimuli: ECG, EDA, and temperature data.Data in brief · 2026Article
- A multimodal dataset for emotional transition analysis in virtual reality.Scientific data · 2026Article
- A large scale dataset of emotion annotated physiological signals collected from a public exhibit.Scientific reports · 2026Article
- Continuous Emotion Recognition Using EDA-Graphs: A Graph Signal Processing Approach for Affective Dimension Estimation.Applied sciences (Basel, Switzerland) · 2026Article
- A Multimodal Dataset for Assessing Emotion, Stress, and Emotional Workload in Interpersonal Work Scenario.Scientific data · 2026Article
- Data-centric review of multimodal emotion recognition: datasets, feature extraction, data fusion and limitations.Frontiers in robotics and AI · 2026Review
- LLaMAC: low-cost biosignal sensor based large multimodal dataset for affective computing.Scientific data · 2025Article
- Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience.Royal Society open science · 2025Article
- ECG-Based Biometric Recognition: A Survey of Methods and Databases.Sensors (Basel, Switzerland) · 2025Review
- The competitive esports physiological, affective, and video dataset.Scientific data · 2025Article
- A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data.IEEE open journal of engineering in medicine and biology · 2025Article
- Kinaesthetic empathy through the lens of the cinematographer: physiological and phenomenological alignments in the act of creation.Frontiers in neuroscience · 2025Article
- Fractal Analysis of Electrodermal Activity for Emotion Recognition: A Novel Approach Using Detrended Fluctuation Analysis and Wavelet Entropy.Sensors (Basel, Switzerland) · 2024Article
- People make mistakes: Obtaining accurate ground truth from continuous annotations of subjective constructs.Behavior research methods · 2024Article
- GameVibe: a multimodal affective game corpus.Scientific data · 2024Article
- Eye tracking is more sensitive than skin conductance response in detecting mild environmental stimuli.PNAS nexus · 2024Article
- Age-related differences in subjective and physiological emotion evoked by immersion in natural and social virtual environments.Scientific reports · 2024Article
- Zooming into the Complex Dynamics of Electrodermal Activity Recorded during Emotional Stimuli: A Multiscale Approach.Bioengineering (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From a computational viewpoint, emotions continue to be intriguingly hard to understand. In research, a direct and real-time inspection in realistic settings is not possible. Discrete, indirect, post-hoc recordings are therefore the norm. As a result, proper emotion assessment remains a problematic issue. The Continuously Annotated Signals of Emotion (CASE) dataset provides a solution as it focusses on real-time continuous annotation of emotions, as experienced by the participants, while watching various videos. For this purpose, a novel, intuitive joystick-based annotation interface was developed, that allowed for simultaneous reporting of valence and arousal, that are instead often annotated independently. In parallel, eight high quality, synchronized physiological recordings (1000 Hz, 16-bit ADC) were obtained from ECG, BVP, EMG (3x), GSR (or EDA), respiration and skin temperature sensors. The dataset consists of the physiological and annotation data from 30 participants, 15 male and 15 female, who watched several validated video-stimuli. The validity of the emotion induction, as exemplified by the annotation and physiological data, is also presented.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.