DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses
By Mojtaba Khomami Abadi, Subramanian Ramanathan, Seyed Mostafa Kia, Paolo Avesani, Ioannis Patras, Nicu Sebe. IEEE Transactions on Affective Computing, 2015
333 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/8cf56d54df1daba47b1fc5b9347660af1ba94307
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Arturas Kaklauskas
- Vytautas Bucinskas
- Andrius Dzedzickis
- Naeem Ramzan
- Stamos Katsigiannis
- Nicu Sebe
- Mojtaba Khomami Abadi
- Weifeng Ge
In Experimental and Cognitive Psychology
- Mojtaba Khomami Abadi
- Arturas Kaklauskas
- Vytautas Bucinskas
- Andrius Dzedzickis
- Naeem Ramzan
- Stamos Katsigiannis
- Nicu Sebe
- Stefan Winkler
Citations in the corpus
- An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare (2016, background): “Due to the dominance in the diagnosis of heart-related diseases, electrocardiogram (ECG) monitoring has been widely applied in both hospitals and medical research [5].”
- A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances (2022, background): “DECAF contains detailed analysis of the correlations between participants’ self-assessments and their physiological responses, single-trial classification results for valence, arousal and dominance dimensions, performance evaluation against existing data sets, and time-continuous emotion annotations”
- AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2017, methodology): “For the first set, 72 volunteers annotated, on the valence and arousal dimensions, the set of 36 videos used in [3].”
- ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors (2018, methodology): “To study the personality-affect relationship, we recorded users’ physiological responses as they viewed the affective movie clips used in [9].”
- Human Emotion Recognition: Review of Sensors and Methods (2020, methodology): “A comparison between the DEAP dataset, MAHNOB-HCI (multimodal database for affect recognition and implicit tagging) [63], EMDB (emotional movie database) [64] and DECAF (multimodal dataset for decoding affective physiological responses) [65] is provided in [66].”
- DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2018, methodology): “2) ECG-based features: Many studies have shown that features extracted from ECG signals correlate with changes in the affective state of a person [1], [2], [12], with the most con-”