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001-es BibID:	BIBFORM105104
Első szerző:	Alexan, Anca
Cím:	Single user activity recognition with Density Activity Abstraction Graphics Algorithm / Anca Alexan, Alexandru Alexan, Stefan Oniga
Dátum:	2022
Megjegyzések:	Recognition of activities today is an essential element in the artificial intelligence field. The smart environment is more and more present in residential spaces, which makes the activities recognition algorithms more and more efficient and adaptable. This article addresses the issue of recognizing activity based on event density. Each activity is interpreted as a density graph, and the recognition is done using image processing algorithms. This method facilitates the determination of transition zones between activities. Each user performs each activity differently, which makes it difficult to recognize the activities. The activities abstracting method presented in this article improves the recognition rate of activities.
ISBN:	978-1-6654-9653-7
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat könyvrészlet activity recognition CASAS neural network matrix map Activity Daily Living
Megjelenés:	Proceedings of 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / Fazekas Istvan. - p. 7-12. -
További szerzők:	Alexan, Alexandru Iulian Oniga István László (1960-) (villamosmérnök)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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