Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
By Zheng Zhang, J. Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Aybars Ciftci, Shaun J. Canavan, Michael J. Reale, Andy Horowitz, Huiyuan Yang and 3 more. Computer Vision and Pattern Recognition, 2016
439 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d5f268d58d574b775d04bf137c380141a512a11a
How researchers see this paper
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- Nicu Sebe
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- Lijun Yin
- Daniel J. McDuff
Citations in the corpus
- Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions (2016, methodology): “More details regarding data collection and recording setup can be found in [31].”
- AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2017, methodology): “D for each electrode. The spectral power asymmetry between 7 pairs of electrodes in the five bands. ECG (77) Root mean square of the mean squared of IBIs, mean IBI, 60 spectral power in the bands from [0, 1, 2, 3, 4, 5, 6] Hz component of the ECG signal, low frequency [0.01,0.08]Hz, medium frequency ”
- Capture, Learning, and Synthesis of 3D Speaking Styles (2019, background): “3D face datasets: Several 3D face datasets have been released that focus on the analysis of static 3D facial shape and expression (e.g. [13, 47, 65]) or dynamic facial expressions (e.g. [2, 15, 18, 44, 64, 68, 69]).”
- Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (2020, background): “[33]: 102 videos of 40 participants were recorded at 25 fps capturing 1040x1392 resolution images during spontaneous emotion elicitation experiments.”