Web-based gesture recognition system for controlling heterogeneous iot devices using deep learning

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DC Field	Value	Language
dc.contributor.author	Jangamreddy, N.	-
dc.contributor.author	Sethi, V.	-
dc.contributor.author	Pal, S.	-
dc.date.accessioned	2019-08-24T11:07:17Z	-
dc.date.available	2019-08-24T11:07:17Z	-
dc.date.issued	2019-08-24	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1356	-
dc.description.abstract	Most of the Internet-of-Things (IoT) devices are sensor based and controlled individually using mobile applications remotely. Users need to learn the application before controlling these IoT devices to accomplish a specific task. In this paper, we improve this interaction capability of users with IoT devices using Web-based Gesture Recognition and Deep Learning. Here, various gestures are used to control different IoT devices.	en_US
dc.language.iso	en_US	en_US
dc.subject	Internet of things (IoTs)	en_US
dc.subject	Computer vision	en_US
dc.subject	Webbased Gesture recognition	en_US
dc.title	Web-based gesture recognition system for controlling heterogeneous iot devices using deep learning	en_US
dc.type	Article	en_US
Appears in Collections:	Year-2019

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