Arturas Kaklauskas

Experimental and Cognitive Psychology · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Experimental and Cognitive Psychology — 21 citations into it
• Cognitive Neuroscience — 13 citations into it
• Social Psychology — 11 citations into it
• Cardiology and Cardiovascular Medicine — 7 citations into it
• Biomedical Engineering — 5 citations into it

Whom Arturas Kaklauskas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mohammad Soleymani
2. John Allen
3. Jennifer A. Healey
4. Rosalind W. Picard
5. Guillaume Chanel
6. Johannes Wagner
7. Mojtaba Khomami Abadi
8. Thierry Pun
9. Christos D. Katsis
10. Andreas Bulling

Papers from Arturas Kaklauskas's perspective

Ordered by how strongly the researchers Arturas Kaklauskas trusts endorse each paper. Same corpus, a different order for every researcher.

1. DEAP: A Database for Emotion Analysis ;Using Physiological Signals (IEEE Transactions on Affective Computing)
2. Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals (EURASIP Journal on Advances in Signal Processing)
3. A Multimodal Database for Affect Recognition and Implicit Tagging (IEEE Transactions on Affective Computing)
4. Detecting stress during real-world driving tasks using physiological sensors (IEEE transactions on intelligent transportation systems (Print))
5. Emotion Assessment: Arousal Evaluation Using EEG's and Peripheral Physiological Signals (Multimedia Content Representation, Classification and Security)
6. What are emotions? And how can they be measured?
7. From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (IEEE International Conference on Multimedia and Expo)
8. Multimodal Emotion Recognition in Response to Videos (IEEE Transactions on Affective Computing)
9. DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses (IEEE Transactions on Affective Computing)
10. Emotion recognition system using short-term monitoring of physiological signals (Medical and Biological Engineering and Computing)

Their papers

• Human Emotion Recognition: Review of Sensors and Methods (2020) — 488 citations