Understanding consumer preferences using iot smartmirrors

Gaur L; Singh G; Ramakrishnan R

Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578378

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DC Field	Value	Language
dc.contributor.author	Gaur L
dc.contributor.author	Singh G
dc.contributor.author	Ramakrishnan R
dc.date.accessioned	2023-11-06T03:00:59Z	-
dc.date.available	2023-11-06T03:00:59Z	-
dc.date.issued	2017-07
dc.identifier.issn	0128-7680
dc.identifier.other	ukmvital:115880
dc.identifier.uri	https://ptsldigital.ukm.my/jspui/handle/123456789/578378	-
dc.description	Internet of things (IoT) has so far been considered to be a complex network of objects speaking to each other across a digital network transmitting information and broadcasts about themselves and their surroundings through an assembly of sensors, actuators and motors. In this paper we present a use case for IoT to understand and record consumer behavior. In essence the paper attempts to classify how humans and IoT devices can learn from each other. In this paper retail smart devices can help salespersons understand more accurately a consumer or shoppers preferences and suggest more suitable options.
dc.language.iso	en
dc.publisher	Universiti Putra Malaysia Press
dc.relation.haspart	Pertanika Journals
dc.relation.uri	http://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-3-7
dc.rights	UKM
dc.subject	Human – IoT bridge
dc.subject	Indian enterprises
dc.subject	Intelligent gesture recognition
dc.subject	Internet of Things
dc.subject	Knowledge recording
dc.subject	SmartMirrors
dc.title	Understanding consumer preferences using iot smartmirrors
dc.type	Journal Article
dc.format.volume	25
dc.format.pages	939-948
dc.format.issue	3
Appears in Collections:	Journal Content Pages/ Kandungan Halaman Jurnal

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