Conference Papers

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

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Subject: search.filters.subject.Human Computer Interaction

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    Computer interaction based on voluntary ocular motility for the physically challenged
    (2013) Ram, S.; Kalwad, P.
    Ocular Motility is a promising mode of input for human computer interaction. However, we are yet to engineer an application that is cost-effective, robust, user-friendly and far reaching. In this paper we describe an eye-controlled application which will be beneficial to the physically challenged community. Even people who can move only their eyes can use this with ease. This works on principles of Image processing and translates the eye movements into mouse commands, thereby enabling the physically challenged to interact with a computer. A user friendly graphical user interface has been developed to demonstrate the merits of eye controlled input as a natural mode of human-machine interaction. © 2013 IEEE.
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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.
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    A Shadow Based Low-Cost Hand Movement Recognition System for Human Computer Interaction
    (Institute of Electrical and Electronics Engineers Inc., 2021) Geetha, V.; Salvi, S.; Sahoo, P.; Dodiya, M.; Gupta, S.
    TIn this paper, we propose and implement a real-time hand motion detection system which uses shadows projected by hand and detected by low cost Light Dependent Resistor (LDR). The main advantage of the shadow approach is real-time recognition and its application in Post COVID 19 world where contactless interactions are required. Our proposed approach uses 2D hand motion shadows to determine sequence of light blocking the LDRs and thus making the system less complex and less compute intensive compared to 3D image recognition based systems. The accuracy of the proposed system is tested under various lighting conditions and 82-95\% accuracy is observed under normal lighting conditions. © 2021 IEEE.