AI and Emotion Recognition: Bridging Mental Health and Technology in Mobile Health Applications

Authors

  • Prof. Lui Chan Author

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

Download data is not yet available.

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.

Published

2023-10-13

Issue

Section

Articles

How to Cite

AI and Emotion Recognition: Bridging Mental Health and Technology in Mobile Health Applications. (2023). International Numeric Journal of Machine Learning and Robots, 7(7). https://injmr.com/index.php/fewfewf/article/view/122