Abstract
Modeling human actions in a format that is suitable for computer systems to understand is a target for behavior analysis systems. This work introduces a high level design for a behavioral analysis system based on action sequences. The design is introduced in terms of process modeling. System processes are presented in terms of a set of data flow diagrams (also known as DFDs) of multi levels. They represent the decomposition of all processing components required in such system and the data flows among them. The system is designed to receive structured information for human behaviors and actions and produce insights, predictions and classifications for personal and behavioral characteristics. Proposed process decomposition is introduced as a core step towards design and implementation of a behavior analyzer system.
This work also introduces an approach to model the contextual factors affecting personal activities. This should lead to a more precise behavioral models that can capture activities as well as considering contextual factors such as the surrounding physical environment, person committing the activity, surrounding culture, social, and religious norms. The targeted accuracy of modeling is meant by the precise evaluation of personal activities after taking all mentioned factors into account.
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Kilany, M., Hassanien, A.E., Badr, A., Tsai, PW., Pan, JS. (2017). A Behavioral Action Sequences Process Design. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016. Advances in Intelligent Systems and Computing, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-48308-5_48
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DOI: https://doi.org/10.1007/978-3-319-48308-5_48
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