e-ISSN 2231-8542
ISSN 1511-3701
J
Pertanika Journal of Tropical Agricultural Science, Volume J, Issue J, January J
Keywords: J
Published on: J
J
Alamsyah, T. M. S. N., Abidin, T. F., Ferdhiana, R., Dirhamsyah, M., & Chaidir, M. (2022, December 8-9). Analysis of face data augmentation in various poses for face recognition model. [Paper presentation]. Seventh International Conference on Informatics and Computing (ICIC), Bali, Indonesia. https://doi.org/10.1109/ICIC56845.2022.10006997
Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M., & Pollak, S. D. (2019). Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements. Psychological Science in the Public Interest, 20(1), 1–68. https://doi.org/10.1177/1529100619832930
Darwin, C. (1872). The expression of the emotions in man and animals. John Murray. https://doi.org/10.1037/10001-000
Devi, B., & Preetha, M. M. S. J. (2023). A descriptive survey on face emotion recognition techniques. International Journal of Image and Graphics, 23(1), Article 2350008. https://doi.org/10.1142/S0219467823500080
Ekman, P. (2009). Darwin’s contributions to our understanding of emotional expressions. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3449–3451. https://doi.org/10.1098/rstb.2009.0189
Ekman, P., & Friesen, W. V. (1971). Constants across cultures in the face and emotion. Journal of Personality and Social Psychology, 17(2), 124–129. https://doi.org/10.1037/h0030377
Garcia-Garcia, J. M., Penichet, V. M. R., Lozano, M. D., & Fernando, A. (2022). Using emotion recognition technologies to teach children with autism spectrum disorder how to identify and express emotions. Universal Access in the Information Society, 21(4), 809–825. https://doi.org/10.1007/s10209-021-00818-y
Jaymon, N., Nagdeote, S., Yadav, A., & Rodrigues, R. (2021, February 19-20). Real-time emotion detection using deep learning. [Paper presentation]. International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India. https://doi.org/10.1109/ICAECT49130.2021.9392584
Mandal, M. K. (2004). Emotion. Affiliated East-West Press.
Ortony, A. (2022). Are all “basic emotions” emotions? A problem for the (Basic) emotions construct. Perspectives on Psychological Science, 17(1), 41–61. https://doi.org/10.1177/1745691620985415
Pabst, A., Bollen, Z., Masson, N., Billaux, P., Timary, P. D., & Maurage, P. (2023). An eye-tracking study of biased attentional processing of emotional faces in severe alcohol use disorder. Journal of Affective Disorders, 323, 778–787. https://doi.org/10.1016/j.jad.2022.12.027
Salve, P. (2022, October 3). India’s suicide rate has increased. But is it because of better reporting or rising distress? Croll.in. https://scroll.in/article/1034045/indias-suicide-rate-has-increased-but-is-it-because-of-better-reporting-or-rising-distress
Saini, A., Khaparde, A. R., Kumari, S., Shamsher, S., Joteeswaran, J., & Kadry, S. (2023). An investigation of machine learning techniques in speech emotion recognition. Indonesian Journal of Electrical Engineering and Computer Science, 29(2), Article 875. https://doi.org/10.11591/ijeecs.v29.i2.pp875-882
Shank, D. B. (2014). Technology and emotions. In J. E. Stets & J. H. Turner (Eds.), Handbook of the Sociology of Emotions: Volume II (pp. 511–528). Springer. https://doi.org/10.1007/978-94-017-9130-4_24
Siam, A. I., Soliman, N. F., Algarni, A. D., El-Samie, F. E. A., & Sedik, A. (2022). Deploying machine learning techniques for human emotion detection. Computational Intelligence and Neuroscience, 2022, Article 8032673. https://doi.org/10.1155/2022/8032673
Song, S., Zhao, S., Gao, Z., Lu, M., Zhang, M., Gao, S., & Zheng, Y. (2022). Influence of affective verbal context on emotional facial expression perception of social anxiety. International Journal of Psychophysiology, 181, 141–149. https://doi.org/10.1016/j.ijpsycho.2022.09.002
Song, Z. (2021). Facial expression emotion recognition model integrating philosophy and machine learning theory. Frontiers in Psychology, 12, Article 759485. https://doi.org/10.3389/fpsyg.2021.759485
Subhashini, R., & Niveditha, P. R. (2015). Analyzing and detecting employee’s emotions for amelioration of organizations. Procedia Computer Science, 48, 530–536. https://doi.org/10.1016/j.procs.2015.04.131
ISSN 1511-3701
e-ISSN 2231-8542