Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Ashwin, T.S.Subject: search.filters.subject.TTS

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    An android GPS-based navigation application for blind
    (Association for Computing Machinery, 2014) Nisha, K.K.; Pruthvi, H.R.; Hadimani, S.N.; Guddeti, G.R.M.; Ashwin, T.S.; Domanal, S.G.
    Visual Impairment makes the person depend on another person for all his works and daily chores. Through the application proposed in this paper, we aim to eliminate this dependency of a visually impaired person when travelling from one place to another. The main goal is to provide information regarding the current location, how much distance and time is required to reach the destination as well as provide the user with the directions and turns to be taken while travelling by providing continuous audio feedback in his understandable language. © is held by the author/owner(s).
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    Kinect Based Real Time Gesture Recognition Tool for Air Marshallers and Traffic Policemen
    (Institute of Electrical and Electronics Engineers Inc., 2017) Prakash, A.; Swathi, R.; Kumar, S.; Ashwin, T.S.; Guddeti, G.R.M.
    The 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.