A hybrid and context-aware framework for normal and abnormal human behavior recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09188-4.pdf
Reference105 articles.
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3. Aran O, Sanchez-Cortes D, Do M-T, Gatica-Perez D (2016) Anomaly detection in elderly daily behavior in ambient sensing environments. In: International workshop on human behavior understanding. Springer, pp 51–67
4. Arifoglu D, Bouchachia A (2017) Activity recognition and abnormal behaviour detection with recurrent neural networks. Proced Comput Sci 110:86–93 (14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017))
5. Ariza-Colpas PP, Vicario E, Oviedo-Carrascal AI, Butt Aziz S, Piñeres-Melo MA, Quintero-Linero A, Patara F (2022) Human activity recognition data analysis: history, evolutions, and new trends. Sensors 22(9):3401
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