Sensor Fusion Platforms for Ambient Assisted Living

dc.contributor.author	Liyanapathirana, Ranjith
dc.contributor.author	Gunawardana, Upul
dc.contributor.author	Williams, Jaclyn
dc.contributor.author	Chan, Nicholas
dc.contributor.author	Sam, Sheen
dc.date.accessioned	2021-09-16T17:46:40Z
dc.date.available	2021-09-16T17:46:40Z
dc.date.issued	2019-03-10
dc.identifier.uri	http://repo.sltc.ac.lk/handle/1/101
dc.description.abstract	Integration of ICT and sensor technologies in future Smart Homes through Ambient Assisted Living (AAL)has the potential to improve the quality and effectiveness of healthcare provided to independently living elderly persons. In this paper, we survey various categories of AAL systems, their characteristics, and show an experimental example of how a LiDAR ambient sensor and wearable sensors can be integrated to recognize a simple activity of daily living. Future research challenges in activity detection are also presented.	en_US
dc.language.iso	en	en_US
dc.publisher	ETIC conference	en_US
dc.subject	sensor fusion	en_US
dc.subject	ambient assisted living	en_US
dc.subject	smart homes	en_US
dc.subject	Lidar	en_US
dc.title	Sensor Fusion Platforms for Ambient Assisted Living	en_US
dc.type	Article	en_US

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