Temporal Data Processing with ASAMPL Programming Language in Mulsemedia Applications
Document Type
Conference Proceeding
Publication Date
Fall 10-15-2022
Abstract
The paper presents a new programming paradigm that enables simplifying temporal data processing which can be used as a core of mulsemedia and affective computing applications. The paper also shows the semantics and pragmatics of basic timewise operations for mulsemedia data processing in the ASAMPL programming language. The proposed approach can be used for the development of various applications which requires the processing of mulsemedia information. The ASAMPL program code development tools and the practical result of their use are presented in this paper as well.
Recommended Citation
Peschanskyi, D., Budonnyi, P., Sulema, Y., Andres, F., Pester, A. (2023). Temporal Data Processing with ASAMPL Programming Language in Mulsemedia Applications. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_48