Debabrata Sengupta

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Deaf and dumb people communicate among themselves using sign languages, but they find it difficult to expose themselves to the outside world. This paper proposes a method to convert the Indian Sign Language (ISL) hand gestures into appropriate text message. In this paper the hand gestures corresponding to ISL English alphabets are captured through a webcam.(More)
In this work, we propose a control protocol for lightpath management in the optical layer of all-optical networks (AONs). AONs follow a layered structure, as used by various network standards, where each layer communicates with its peer through Protocol Data Units (PDUs). In the context of Open System Interconnection (OSI) Reference Model (RM), a new layer,(More)
We propose to develop an android based application that can assist the user in solving word jumbles commonly found in newspapers and magazines. An example of a typical word jumble which might be found in a book of puzzles is shown in the figure below. Goals : We envisage that the application should be able to do the following: (1) Identify the (scrambled)(More)
The problem we are investigating is sign language recognition through unsupervised feature learning. Being able to recognize sign language is an interesting machine learning problem while simultaneously being extremely useful for deaf people to interact with people who don't know how to understand American Sign Language (ASL). Our approach was to first(More)
We present a novel approach to 2D and 3D human pose estimation in monocular images by building on and improving recent advances in this field. We take the full body pose as a combination of a 3D pose and a viewpoint and in this way define classes that are then learned by a classifier. Compared to part based approaches, our approach does not suffer from(More)
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