Abstract
In this century, smartphone has become one of the important things that most of the people brings these powerful machines with extensive battery life, qualified built-in cameras, some kinds of sensors and other multifunctional tools that may be useful in everyday routine. Also, the worldwide situation about this time, the issue of facial expression evaluation by a computer is considered as one of the most interesting topics because facial expression identification systems have been applied for many fields, for instance, assessing the customer, as an assistance in health care systems especially for those patients who suffer autism. In this research, an automatic facial expressions identification system for a user is developed as an application to the Android platform. In order to facilitate the application, some existing tools are used to develop with required computations. To work a system fast and stable, the existing SDKs from Affectiva have been decided to apply. The proposed system points out the way to classify the basic emotional conditions, namely anger, joy, sadness, fear, disgust, and surprise for a user.
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Shwe Sin, T., Khin, O. (2022). Facial Expressions Classification on Android Smartphone for a User. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_21
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DOI: https://doi.org/10.1007/978-981-16-1781-2_21
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