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Dr. Geetha M.

Vice Chairperson , School of Computing, Amritapuri | Assistant Professor (Sl. Gd.) , School of Computing, Amritapuri

Qualification: Ph.D
geetham@am.amrita.edu
Google Scholar Profile
Research Interest: Computer Vision, Machine Learning, Pattern Recognition

Bio

Dr. Geetha M. currently serves as Vice Chairperson and Assistant Professor (Sl. Gd.) at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri.

Publications

Journal Article

Year : 2021

Incorporating Relative Position Information in Transformer-Based Sign Language Recognition and Translation

Cite this Research Publication : N Aloysius, M Geetha, P Nedungadi, Incorporating Relative Position Information in Transformer-Based Sign Language Recognition and Translation, IEEE Access, 2021

Publisher : IEEE

Year : 2021

Machine vision based flood monitoring system using deep learning techniques and fuzzy logic on crowdsourced image data

Cite this Research Publication : B B Nair, S Krishnamoorthy, S N Rao, Machine vision based flood monitoring system using deep learning techniques and fuzzy logic on crowdsourced image data, Intelligent Decision Technologies, 1-14, IOS Press, 2021 DOI: 10.3233/IDT-200133

Publisher : IOS Press

Year : 2021

Interactive visualization-based surveillance video synopsis

Cite this Research Publication : Namitha, K., Narayanan, A. & Geetha, M. Interactive visualization-based surveillance video synopsis. Appl Intell 52, 3954–3975 (2022)

Publisher : Springer US

Year : 2020

Understanding vision-based continuous sign language recognition

Cite this Research Publication : N. Aloysius and M. Geetha, “Understanding vision-based continuous sign language recognition”, Multimedia Tools and Applications, vol. 79, no. 31, pp. 22177 - 22209, 2020.

Publisher : Multimedia Tools and Applications

Year : 2020

A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition

Cite this Research Publication : N. Aloysius and M. Geetha, “A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition”, International Journal of Computational Science and Engineering, vol. 22, 2020

Publisher : International Journal of Computational Science and Engineering

Year : 2018

Image classification using an ensemble-based deep CNN

Cite this Research Publication :
A. Neena and M. Geetha, “Image classification using an ensemble-based deep CNN”, Advances in Intelligent Systems and Computing, vol. 709, pp. 445-456, 2018

Publisher : Advances in Intelligent Systems and Computing

Year : 2017

A 3D stroke based representation of sign language signs using key maximum curvature points and 3D chain codes

Cite this Research Publication :
M. Geetha and Dr. Kaimal, M. R., “A 3D stroke based representation of sign language signs using key maximum curvature points and 3D chain codes”, Multimedia Tools and Applications, pp. 1-34, 2017

Publisher : Multimedia Tools and Applications, Springer New York LLC

Year : 2016

Pancreatitis in Children.

Cite this Research Publication : M. Sathiyasekaran, Biradar, V., Ramaswamy, G., Srinivas, S., Ashish, B., Sumathi, B., Nirmala, D., and Geetha, M., “Pancreatitis in Children.”, Indian J Pediatr, vol. 83, no. 12-13, pp. 1459-1472, 2016.

Publisher : Indian J Pediatr

Year : 2012

A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation

Cite this Research Publication :
M. Geetha and C, M. U., “A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation”, International Journal on Computer Science & Engineering (IJCSE), vol. 4, p. 3, 2012

Publisher : IJCSE

Conference Paper

Year : 2020

Mudra: Convolutional Neural Network based Indian Sign Language Translator for Banks

Cite this Research Publication :
G. Jayadeep, Vishnupriya, N. V., Venugopal, V., Vishnu, S., and M. Geetha, “Mudra: Convolutional Neural Network based Indian Sign Language Translator for Banks”, in 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, India, 2020

Publisher : IEEE, Madurai

Year : 2020

An Ensembled Scale-Space Model of Deep Convolutional Neural Networks for Sign Language Recognition

Cite this Research Publication : N. Aloysius and M. Geetha, “An Ensembled Scale-Space Model of Deep Convolutional Neural Networks for Sign Language Recognition”, in Advances in Artificial Intelligence and Data Engineering, Singapore, 2020

Publisher : Advances in Artificial Intelligence and Data Engineering, Springer Singapore

Year : 2018

Automated Screening for Trisomy 21 by measuring Nuchal Translucency and Frontomaxillary Facial Angle

Cite this Research Publication : P. S. Lakshmi, M. Geetha, Menon, N. R., Krishnan, V., and Prof. Prema Nedungadi, “Automated Screening for Trisomy 21 by measuring Nuchal Translucency and Frontomaxillary Facial Angle”, in International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.

Publisher : International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2018

A Trigraph Based Centrality Approach Towards Text Summarization

Cite this Research Publication :
D. Raj and M. Geetha, “A Trigraph Based Centrality Approach Towards Text Summarization”, in 2018 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2018

Publisher : 2018 International Conference on Communication and Signal Processing (ICCSP), IEEE

Year : 2017

Sign language translator for mobile platforms

Cite this Research Publication : M. Mahesh, Jayaprakash, A., and M. Geetha, “Sign language translator for mobile platforms”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2017

A review on deep convolutional neural networks

Cite this Research Publication : N. Aloysius and M. Geetha, “A review on deep convolutional neural networks”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP), IEEE

Year : 2017

Detection and estimation of the extent of flood from crowd sourced images

Cite this Research Publication : M. Geetha, Manoj, M., Sarika, A. S., Mohan, M., and Rao, S. N., “Detection and estimation of the extent of flood from crowd sourced images”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP),

Year : 2016

An FSM based methodology for interleaved and concurrent activity recognition

Cite this Research Publication :
J. Kavya and M. Geetha, “An FSM based methodology for interleaved and concurrent activity recognition”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 2016

Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2015

Disrupted structural connectivity using diffusion tensor tractography in epilepsy

Cite this Research Publication : M. Geetha and Pillay, S. S., “Disrupted structural connectivity using diffusion tensor tractography in epilepsy”, in 2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015, 2015

Publisher : 2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015

Year : 2015

A Novel Method on Action Recognition Based on Region and Speed of Skeletal End points

Cite this Research Publication :
M. Geetha, B., A. Suresh, Rohith, P., Gayathri Unni, and Harsha, M. P., “A Novel Method on Action Recognition Based on Region and Speed of Skeletal End points”, in 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi, India, 2015

Publisher : 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2014

An improved content based image retrieval in RGBD images using Point Clouds

Cite this Research Publication :
M. Geetha, Paul, M. P., and Kaimal, M. R., “An improved content based image retrieval in RGBD images using Point Clouds”, in International Conference on Communications and Signal Processing (ICCSP), 2014 , 2014

Publisher : International Conference on Communications and Signal Processing (ICCSP), 2014

Year : 2014

An Improved Human Action Recognition System Using RSD Code Generation

Cite this Research Publication :
M. Geetha, Anandsankar, B., Nair, L. S., Amrutha, T., and Rajeev, A., “An Improved Human Action Recognition System Using RSD Code Generation”, in Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing (ICONIAAC '14), 2014

Publisher : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing (ICONIAAC '14)

Year : 2014

An improved method for segmentation of point cloud using Minimum Spanning Tree

Cite this Research Publication :
M. Geetha and Rakendu, R., “An improved method for segmentation of point cloud using Minimum Spanning Tree”, in International Conference on Communications and Signal Processing (ICCSP), 2014 , 2014

Publisher : International Conference on Communications and Signal Processing (ICCSP), 2014

Year : 2013

Animation system for Indian Sign Language communication using LOTS notation

Cite this Research Publication : R. J. Raghavan, Prasad, K. A., Muraleedharan, R., and M. Geetha, “Animation system for Indian Sign Language communication using LOTS notation”, in Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on, 2013

Publisher : Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on

Year : 2013

A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information

Cite this Research Publication : M. Geetha, Aswathi, P. V., and Dr. M. R. Kaimal, “A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information”, in Second International Conference on Advanced Computing, Networking and Security, 2013.

Publisher : Second International Conference on Advanced Computing, Networking and Security

Year : 2013

A vision based dynamic gesture recognition of Indian Sign Language on Kinect based depth images

Cite this Research Publication :
M. Geetha, C, M., P, U., and R, H., “A vision based dynamic gesture recognition of Indian Sign Language on Kinect based depth images”, in Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on, 2013

Publisher : Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on

Year : 2013

Dynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points

Cite this Research Publication :
M. Geetha and Aswathi, P. V., “Dynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points”, in 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2013.

Publisher : 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)

Year : 2013

A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information

Cite this Research Publication :
M. Geetha, Aswathi, P. V., and Dr. Kaimal, M. R., “A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information”, in Second International Conference on Advanced Computing, Networking and Security, 2013.

Publisher : Second International Conference on Advanced Computing, Networking and Security

Year : 2011

Gesture recognition for American sign language with polygon approximation

Cite this Research Publication :
M. Geetha, Menon, R., Jayan, S., James, R., and Janardhan, G. V. V., “Gesture recognition for American sign language with polygon approximation”, in Proceedings - IEEE International Conference on Technology for Education, T4E 2011, Chennai, Tamil Nadu, 2011, pp. 241-245

Publisher : IEEE

Book Chapter

Year : 2020

CNN and Stacked LSTM Model for Indian Sign Language Recognition

Cite this Research Publication : C. Aparna and M. Geetha, “CNN and Stacked LSTM Model for Indian Sign Language Recognition”, in Machine Learning and Metaheuristics Algorithms, and Applications, 2020, pp. 126-134

Publisher : Machine Learning and Metaheuristics Algorithms, and Applications

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