AI and Emotion Recognition: Bridging Mental Health and Technology in Mobile Health Applications
Abstract
This paper explores the potential of AI and emotion recognition technologies to bridge the gap between mental health care and mobile health applications. By integrating facial emotion recognition and sentiment analysis, the system provides real-time mental health monitoring and support.
Downloads
References
Pillai, S. E. V. S., & Hu, W. C. (2023, May). Misinformation detection using an ensemble method with emphasis on sentiment and emotional analyses. In 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) (pp. 295-300). IEEE.
Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735-1780. https://doi.org/10.1162/neco.1997.9.8.1735
Ko, B. C. (2018). A brief review of facial emotion recognition based on visual information. Sensors, 18(2), 401. https://doi.org/10.3390/s18020401
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539
Liu, B., & Zhang, L. (2012). A survey of opinion mining and sentiment analysis. Mining Text Data, 415-463. https://doi.org/10.1007/978-1-4614-3223-4_13
McDuff, D., & El Kaliouby, R. (2015). Applications of automatic facial coding in media measurement. IEEE Transactions on Affective Computing, 6(2), 190-202. https://doi.org/10.1109/TAFFC.2015.2445334
Mehrabian, A. (1971). Silent messages: Implicit communication of emotions and attitudes. Wadsworth Publishing Company.
Mittal, T., Bhattacharya, U., Chandra, R., Bera, A., & Manocha, D. (2020). EmotiCon: Context-aware multimodal emotion recognition using frege's principle. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14234-14243. https://doi.org/10.1109/CVPR42600.2020.01425
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017). A review of affective computing: From unimodal analysis to multimodal fusion. Information Fusion, 37, 98-125. https://doi.org/10.1016/j.inffus.2017.02.003
Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161-1178. https://doi.org/10.1037/h0077714
Scherer, K. R., Bänziger, T., & Roesch, E. B. (2010). A blueprint for affective computing: A sourcebook and manual. Oxford University Press.
Kalla, D., Smith, N., Samaah, F., & Polimetla, K. (2022). Enhancing Early Diagnosis: Machine Learning Applications in Diabetes Prediction. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-205. DOI: doi. org/10.47363/JAICC/2022 (1), 191, 2-7.