Dr Sruthi C J is currently an Assistant Professor at School of Computing, Amrita Vishwa Vidyapeetham, Coimbatore, India. She has completed her PhD from the Department of Computer Science and Engineering, National Institute of Technology Calicut (NIT Calicut). She acquired her M Tech in Computer Science and Engineering with a specialization in Image Processing and B. Tech in Computer Science and Engineering from colleges affiliated with Cochin University of Science and Technology, Kerala. Her research interests include Computer Vision, Image Processing, and Machine Learning. She has qualified for GATE 2011 and has published many papers and book chapters in peer-reviewed international journals and conference proceedings. She serves as a reviewer for several reputed international journals
Year : 2022
Cite this Research Publication : Shahira, K. C, C. J. Sruthi, and A. Lijiya. ”Assistive Technologies for Visual, Hearing, and Speech Impairments: Machine Learning and Deep Learning Solutions.” Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools and Applications (2022): 397-423.
Year : 2022
Cite this Research Publication : Anjaly S.Menon., Sruthi C. J., and Lijiya A. ”A 2D Fast Deep Neural Network for Static Indian Sign Language Recognition.” 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON). Vol. 1. IEEE, 2022., held at Faridabad, on 26th - 27th, May 2022.
Publisher : Cloud and Parallel Computing
Year : 2020
Cite this Research Publication : Sruthi, C. J., Karan Soni, and A. Lijiya. ”Automatic Recognition of ISL Dynamic Signs with Facial Cues.” Congress on Intelligent Systems. Springer, Singapore, 2020.
Publisher : Springer
Year : 2019
Cite this Research Publication : Sruthi C J, Lijiya A, “Signet: A Deep Learning Based Indian Sign Language Recognition System”, The IEEE Madras Section-8th International Conference on Communication and Signal Processing (ICCSP 2019), April 04-06, 2019, Melmaruvathur, Tamil Nadu.
Year : 2022
Cite this Research Publication : Sruthi C J, and Lijiya A, ”Maximum Mean Probability Ensembling(MMPE) For Dynamic Indian Sign Language Recognition” The Visual Computer, DOI: 10.1007/s00371-022-02720-x (Available online from 15-11-2022)(IF: 2.835, SCIE)
Publisher : The Visual Computer
Year : 2022
Cite this Research Publication : P.K. Athira, C.J. Sruthi*, A. Lijiya, “A Signer Independent Sign Language Recognition with Co-articulation Elimination from Live Videos: An Indian Scenario,” Journal of King SaudUniversity - Computer and Information Sciences, Volume 34, Issue 3, Pages 771-781, 2022. (IF: 9.006, Q1, SCIE)
Publisher : Science direct
Won the best paper award at the IEEE International Conference organised by the Department of Computer Science and Engineering, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad, held on 26th – 27th May 2022 (COM-IT-CON 2022) for the paper “A 2D Fast Deep Neural Network for Static Indian Sign Language Recognition”.
