Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/8387
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dc.contributor.authorPrakash, A.-
dc.contributor.authorSwathi, R.-
dc.contributor.authorKumar, S.-
dc.contributor.authorAshwin, T.S.-
dc.contributor.authorRam Mohana Reddy, Guddeti-
dc.date.accessioned2020-03-30T10:18:34Z-
dc.date.available2020-03-30T10:18:34Z-
dc.date.issued2017-
dc.identifier.citationProceedings - IEEE 8th International Conference on Technology for Education, T4E 2016, 2017, Vol., , pp.34-37en_US
dc.identifier.urihttps://idr.nitk.ac.in/jspui/handle/123456789/8387-
dc.description.abstractThe Microsoft Kinect which is a motion sensing input device presents a very straightforward and affordable approach to facilitate real-time user interaction. Although a lot of research has been conducted on the application of Kinect to gaming and virtual reality environments, its relevance to real-world scenarios has not been explored much. The features provided by the driver platforms such as OpenNI and Microsoft Kinect Software Development Kit (SDK) for development using Kinect coupled with the motion sensing ability of Kinect, presents a unique opportunity for extending the scope of the Kinect sensor. This paper proposes a system for automatically recognizing the road traffic control gestures of police officers and air marshalling commands by ground personnels. This system is aimed for selflearning, training and testing these officers to equip them with the skills to tackle real-world situations. Since these applications are very crucial and performing accurate gestures are of at most importance, this system will prove to be very essential. Experimental results also demonstrate that our system is robust and effective and is suitable for real-time application. � 2016 IEEE.en_US
dc.titleKinect Based Real Time Gesture Recognition Tool for Air Marshallers and Traffic Policemenen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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