Brief Profile
Dr. Adithya V. has obtained her Ph.D. in Computer Science from Central University of Kerala, M.Tech in Computer Science with specialization in Image Processing from College of Engineering Chengannur, and B.Tech in Computer Science and Engineering from Model Engineering College, Cochin. She has one and a half years of industrial experience, and more than three years of teaching experience in various engineering colleges in Kerala. She is a recipient of the Nava Kerala Post Doctoral Fellowship (2022) in the domain of Digital Technology and Engineering, and KSCSTE Research Fellowship (2015). She has cleared GATE and UGC-NET examinations. She has published her research works in various International Journals and Books. She has also received a patent for the design of a "Position Adjusting Device for the Camera Capturing the Sign Languages".
Her research interests include image and video processing, computer vision, machine learning, sign language recognition, multimodal human-computer interaction, etc.
Recent and Major Publications
- Thushara B., Adithya V., Sreekanth N. S.,"Gesture Centric Interaction: Evaluating Hand and Head Gestures in Touchless Cursor Control",Ergonomics, Taylor and Francis,1-21
- Adithya V. and Rajesh R.,"Applying Hybrid Neural Network for the Recognition of Sign Language Words used by the Deaf COVID-19 Patients",Arabian Journal for Science and Engineering, Springer,1-14
- Adithya V. and Rajesh R.,"Convolutional Neural Network based Sign Language Recognition to Assist Online Assessment",IEEE Xplore,156-160
- Adithya V. and Rajesh R.,"Applying Deep Neural Networks for the Automatic Recognition of Sign Language Words: A Communication aid to Deaf Agriculturists",Expert Systems with Applications, Elsevier,185, 115601 (1-9)
- Adithya V. and Rajesh R.,"Hand gestures for emergency situations: A video dataset based on words from Indian sign language",Data in Brief,31, 106016 (1-7)
- Adithya V. and Rajesh R.,"A Deep Convolutional Neural Network Approach for Static Hand Gesture Recognition",Procedia Computer Science,171, 2353-2361
- Adithya V. and Rajesh R.,"Effectual Hand Posture Recognition using Block Level DCT-Diagonal-HOG Features",IEEE Xplore,1-5
- Adithya V. and Rajesh R.,"An Efficient Method for Hand Posture Recognition Using Spatial Histogram Coding of NCT Coefficients",IEEE Xplore,1-5
- Sumalakshmi C.H. and Adithya V.,"Automatic Facial Feature Recognition and Facial Expression Analysis in Images",International Journal of Science, Engineering and Technology Research,3, 717-722
- Adithya V., Vinod P. R. and Usha Gopalakrishnan,"Artificial neural network based method for Indian sign language recognition",IEEE Xplore,1080-1085
- Adithya V., Vinod P. R. and Usha Gopalakrishnan,"Contour Potential Energy Based Method for Indian Sign Language Recognition",International Journal of Scientific and Engineering Research,4, 2030 (1-7)
Miscellaneous
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Teaching & Research Guidance
- Computer Science and Engineering:Under Graduate
- Computer Science and Engineering:Under Graduate
- MSc Computer Science:Post Graduate