Cite Article
Cite Article
MLA
Alhasson, Haifa F., et al. "Bi-Model Engagement Emotion Recognition Based on Facial and Upper-Body Landmarks and Machine Learning Approaches." IJESMA vol.15, no.1 2023: pp.1-13. http://doi.org/10.4018/IJESMA.330756
APA
Alhasson, H. F., Alsaheel, G. M., Alharbi, N. S., Alsalamah, A. A., Alhujilan, J. M., & Alharbi, S. S. (2023). Bi-Model Engagement Emotion Recognition Based on Facial and Upper-Body Landmarks and Machine Learning Approaches. International Journal of E-Services and Mobile Applications (IJESMA), 15 (1), 1-13. http://doi.org/10.4018/IJESMA.330756
Chicago
Alhasson, Haifa F., et al. "Bi-Model Engagement Emotion Recognition Based on Facial and Upper-Body Landmarks and Machine Learning Approaches," International Journal of E-Services and Mobile Applications (IJESMA) 15, no.1: 1-13. http://doi.org/10.4018/IJESMA.330756
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International Journal of E-Services and Mobile Applications (IJESMA) The objective of the International Journal of E-Services and Mobile Applications (IJESMA) is to be a truly interdisciplinary journal providing comprehensive coverage and understanding of all aspects of e-services, self-services and mobile communication from different fields including marketing, management, and MIS. The journal invites contributions that are both empirical and conceptual, and is open to all types of research methodologies both from academia and industry.
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