Jaya Prakash Sahoo

Jaya Prakash Sahoo
National Institute of Technology Rourkela | NITR · Department of Electronics and Communication Engineering (EC)

Master of Technology

About

7
Publications
2,567
Reads
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68
Citations
Introduction
Currently, I am working as a research scholar. My research work concentrates on hand gesture recognition using vision-based sensors (RGB and RGB-D image samples). My research domain includes pattern recognition, deep learning, and human-computer interface.
Additional affiliations
September 2016 - present
National Institute of Technology Rourkela
Position
  • PhD Student
Description
  • Currently, I am working as a research scholar. My research work concentrates on hand gesture recognition using vision-based sensors (RGB and RGB-D image samples). My research domain includes pattern recognition, deep learning, and human-computer interface.
Education
July 2009 - June 2011
National Institute of Technology Rourkela
Field of study
  • Telematics and signal processing

Publications

Publications (7)
Article
Full-text available
Hand gesture recognition (HGR) is the most effective and intuitive way for the human–computer interface used in various applications, such as sign language recognition, robotics, and multimedia applications. The performance of the existing handcrafted techniques relies on the less generalized preprocessing and feature extraction steps. The convolut...
Chapter
Hand gesture recognition is one of the active research areas in the field of human-computer interface due to its flexibility and user friendliness. The gesture recognition technique is used to develop a system that can be used to convey information among disabled people or for controlling a device. Major challenges for the development of an efficie...
Article
Full-text available
This paper demonstrates the development of vision based static hand gesture recognition system using web camera in real time applications. The vision based static hand gesture recognition system is developed using the following steps: preprocessing, feature extraction and classification. The preprocessing stage consists of illumination compensation...
Conference Paper
Full-text available
In this paper, we presents a scheme of implementation of automatic speech recognition system using Odia language. The proposed system is realized using Kaldi toolkit for automatic recognition of district models of the state of Odisha. We investigate the monophone and triphone model for Odia speech recognition. Acoustic modeling of Odia speech recog...
Article
In this paper, detection of QRS complex in Electrocardiogram (ECG) signal based on Autocorrelation and Hilbert transform (HT) is proposed. The autocorrelation method is used to determine the duration of one cardiac cycle of ECG signal and HT method is applied to detect the R-peaks point in ECG signal. The proposed algorithm is evaluated on MIT-BIH...
Article
Full-text available
This paper proposes an algorithm for QRS complex detection technique based on Hilbert transform and autocorrelation method. In the proposed method, the period of the ECG signal is calculated first using autocorrelation method and then the R-peaks are detected using Hilbert transform. This method allows R-peaks to be differentiated from large peaked...

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Projects

Project (1)
Project
To control video surveillance mobile robot through hand gesture recognition