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Suppression of Alpha Oscillation During Micro-expression Recognition

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Computer Vision – ACCV 2016 Workshops (ACCV 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10116))

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Abstract

Behavioral evidence shows that the recognition of micro-expression is impaired by emotional context, especially negative context. However, the neural oscillatory features of such emotional context effect on recognition of micro-expression remain unclear. The present study used time-frequency analysis to explore the event-related spectral perturbation (ERSP) characteristics reflected in the processing of micro-expression followed emotional contexts. In the occipital-central region, we found that emotional context modulated micro-expression spectral power in alpha band and a strong suppression of alpha oscillation was observed in negative context. This study provided spectral dynamic evidence in support of the effect of emotional context during micro-expression recognition.

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Acknowledgments

We thank Dr. Kai Wang for the early suggestions on data analysis of the study. This research was supported by grants from the National Natural Science Foundation of China (61375009).

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Correspondence to Xiaolan Fu .

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Zhang, M., Chen, YH., Fu, X. (2017). Suppression of Alpha Oscillation During Micro-expression Recognition. In: Chen, CS., Lu, J., Ma, KK. (eds) Computer Vision – ACCV 2016 Workshops. ACCV 2016. Lecture Notes in Computer Science(), vol 10116. Springer, Cham. https://doi.org/10.1007/978-3-319-54407-6_36

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  • DOI: https://doi.org/10.1007/978-3-319-54407-6_36

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-54407-6

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