Emotion Recognition on Facial Expression and Voice: Analysis and Discussion
Abstract
Keywords
Full Text:
PDFReferences
Lim, Y., Ng, K. W., Naveen, P., & Haw, S. C., "Emotion Recognition by Facial Expression and Voice: Review and Analysis," Journal of Informatics and Web Engineering (JIWE), 1(2), pp. 45-54, 2022. https://doi.org/10.33093/jiwe.2022.1.2.4
Naga, P., Marri, S. D., & Borreo, R., "Facial emotion recognition methods, datasets and technologies: A literature survey," Materials Today: Proceedings, 80(1), pp. 2824-2828, 2023. DOI:10.1016/j.matpr.2021.07.046
Park, C. L., Kubzansky, L. D., Chafouleas, S. M., Davidson, R. J., Keltner, D., Parsafar, P., ... & Wang, K. H., "Emotional well-being: What it is and why it matters," Affective Science, 4(1), pp. 10-20, 2023. https://doi.org/10.1007/s42761-022-00163-0
Anaam, E. A., Haw, S. C., Ng, K. W., Naveen, P., & Thabit, R., "Utilizing Fuzzy Algorithm for Understanding Emotional Intelligence on Individual Feedback," Journal of Informatics and Web Engineering (JIWE), 2(2), pp. 273-283, 2023. https://doi.org/10.33093/jiwe.2023.2.2.19
Lahat, L., & Ofek, D., "Emotional well-being among public employees: A comparative perspective," Review of Public Personnel Administration, 42(1), pp. 31-59, 2022. https://doi.org/10.1177/0734371X20939642
Leong, S. C., Tang, Y. M., Lai, C. H., & Lee, C. K. M., "Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing," Computer Science Review, 48, 100545, 2023. https://doi.org/10.1016/j.cosrev.2023.100545
Cai, Y., Li, X., & Li, J., "Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review," Sensors, 23(5), 2455, 2023. https://doi.org/10.3390/s23052455
Lam, X. H., Ng, K. W., Yoong, Y. J., & Ng, S. B., "WBC-based segmentation and classification on microscopic images: a minor improvement," F1000Research, 10, 1168, 2021. doi: 10.12688/f1000research.73315.1
Ang, J. S., Ng, K., & Chua, F. F., "Stock market prediction using deep learning approach," Journal of Engineering Science and Technology., 17(5), pp. 3174-3186, 2022. https://jestec.taylors.edu.my/Vol%2017%20Issue%205%20October%202022/17_5_12.pdf
Sarvakar, K., Senkamalavalli, R., Raghavendra, S., Kumar, J. S., Manjunath, R., & Jaiswal, S., "Facial emotion recognition using convolutional neural networks," Materials Today: Proceedings, 80, pp. 3560-3564, 2023. https://doi.org/10.1016/j.matpr.2021.07.297
Agrawal, A., & Mittal, ·. N., "Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy," The Visual Computer 36 (2), pp. 405-412, 2020. doi:10.1007/s00371-019-01630-9
Singh, R., Saurav, S., Kumar, T., Saini, R., Vohra, A., & Singh, S., "Facial expression recognition in videos using hybrid CNN & ConvLSTM," International Journal of Information Technology, 15(4), pp. 1819-1830, 2023. https://doi.org/10.1007/s41870-023-01183-0
Chand, V., Chrisanthus, A., Thampi, A., Dayal, S., & Dhanup, S., "A Review on Various CNN-based Approaches for Facial Expression Recognition," In 2023 International Conference on Inventive Computation Technologies (ICICT), pp. 465-471, 2023. IEEE. https://doi.org/10.1109/ICICT57646.2023.10133947
De Ocampo, A. L. P., "Haar-CNN Cascade for Facial Expression Recognition," In 2023 International Electrical Engineering Congress (iEECON), pp. 89-92, 2023. IEEE. https://doi.org/10.1109/iEECON56657.2023.10126902
Nugraha, G. S., Darmawan, M. I., & Dwiyansaputra, R., "Comparison of CNN's Architecture GoogleNet, AlexNet, VGG-16, Lenet-5, Resnet-50 in Arabic Handwriting Pattern Recognition," Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 2023. https://doi.org/10.22219/kinetik.v8i2.1667
Nainwal, A., Sharma, G., Kansal, V., Bhatla, S., & Pant, B., "Comparative Study of VGG-13, AlexNet, MobileNet and Modified-DarkCovidNet for Chest X-Ray Classification," In 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 413-417, 2023. IEEE. https://ieeexplore.ieee.org/document/10112523
Agarwalla, N., Panda, D., & Modi, M. K., "Deep Learning using Restricted Boltzmann Machines," International Journal of Computer Science & Information Security, 7(3), pp. 1552-1556, 2016. https://ijcsit.com/docs/Volume%207/vol7issue3/ijcsit20160703110.pdf
Chengeta, K., & Viriri, S., "A Survey on Facial Recognition based on local directional and local binary patterns," Conference on Information Communications Technology and Society (ICTAS), 2018. doi:10.1109/ICTAS.2018.8368757
Isnanto, R. R., A. F., Eridani, D., & Cahyono, G. D., "Multi-Object Face Recognition Using Local Binary Pattern Histogram and Haar Cascade Classifier on Low-Resolution Images," International Journal of Engineering and Technology Innovation, vol. 11, no. 1, 2021, pp. 45-58, 2021. doi:10.46604/ijeti.2021.6174
Hussain, S. A., & Balushi, A. S., "A real time face emotion classification and recognition using deep learning model," Journal of Physics: Conference Series, Vol.1432, No.1, pp. 012087, 2020. doi:10.1088/1742-6596/1432/1/012087
Abdulrahman, M., & Eleyan, A., "Facial Expression Recognition Using Support Vector Machines," The 23nd Signal Processing and Communications Applications Conference (SIU), pp. 276-279, 2015. doi:10.1109/SIU.2015.7129813
Kerkeni, L., Serrestou, Y., Mbarki, M., Raoof, K., Mahjoub, M. A., & Cleder, C., “Automatic Speech Emotion Recognition Using Machine Learning,†Social media and machine learning. IntechOpen, 2019. doi:10.5772/intechopen.84856.
Mannar Mannan J, Srinivasan L, Maithili K, & Ramya C., "Human Emotion Recognize Using Convolutional Neural Network (CNN) and Mel Frequency Cepstral Coefficient (MFCC)," Seybold Report Journal, 18(4), pp. 49-61, 2023. https://seybold-report.com
Mishra, S. P., Warule, P., & Deb, S., "Deep Learning Based Emotion Classification Using Mel Frequency Magnitude Coefficient," In 2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) (pp. 93-98). IEEE, 2023. https://doi.org/10.1109/IHCSP56702.2023.10127148
Rumagit, R. Y., Alexander, G., & Saputra, I. F., "Model Comparison in Speech Emotion Recognition for Indonesian Language," Procedia Computer Science, 179, pp. 789-797, 2021. doi:https://doi.org/10.1016/j.procs.2021.01.09
Fayek, H., Lech, M., & Cavedon, L., "Towards real-time speech emotion recognition using deep neural networks," The 9th international conference on signal processing and communication systems (ICSPCS), pp. 1-5, 2015. doi:10.1109/ICSPCS.2015.7391796
Sharafi, M., Yazdchi, M., & Rasti, J., "Audio-Visual Emotion Recognition Using K-Means Clustering and Spatio-Temporal CNN," In 2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA), pp. 1-6, 2023. IEEE. https://doi.org/10.1109/IPRIA59240.2023.10147192
Badshah, A. M., Ahmad, J., Rahim, N., & Baik, S. W., "Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network," International conference on platform technology and service (PlatCon), pp. 1-5, 2017. doi:10.1109/PlatCon.2017.7883728
Kim, N. K., Lee, J., Ha, H. K., Lee, G. W., Lee, J. H., & Kim, H. K., "Speech emotion recognition based on multi-task learning using a convolutional neural network," The Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 704-707, 2017. doi:10.1109/APSIPA.2017.8282123
Lu, X., Kang, X., Nishide, S., & Ren, F., "Object detection based on SSD-ResNet," In 6th International Conference on Cloud Computing and Intelligence Systems (CCIS), pp. 89-92, 2019. IEEE. https://doi.org/10.1109/CCIS48116.2019.9073753
Mithbavkar, S., & Shah, M., "Recognition of Emotion in Indian Classical Dance Using EMG Signal," Int. J. Adv. Sci. Eng. Inf. Technol ( IJASEIT), 11(4), pp. 1336, 2021. DOI:10.18517/ijaseit.11.4.14034
DOI: http://dx.doi.org/10.18517/ijaseit.13.5.19023
Refbacks
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development