Citation

Salehi, Parsa and Chua, Sook Ling and Foo, Lee Kien (2022) An Adaptive Novelty Detection System for Continual Learning of Human Activity. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text 29.SALEHI, PARSA.pdf - Submitted Version Restricted to Registered users only Download (227kB)

Abstract

• Sensor-based activity recognition has attracted increasing attention over the past few years due to its potential to support the inhabitants, typically the elderly who live alone. • With the rise of the elderly population, activity recognition system plays an important role in monitoring the inhabitant’s activities and detecting any alarming situations.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Sensor
Subjects:	Q Science > QP Physiology > QP351 Neurophysiology and Neuropsychology
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	20 Dec 2022 03:02
Last Modified:	20 Dec 2022 03:02
URII:	http://shdl.mmu.edu.my/id/eprint/10946

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