Vision

To serve society by focusing on good health and well-being through technological support and to kindle the interest of the student community by providing a better education for their personal and professional growth.

Mission

To develop innovative and customized solutions catering to the needs of healthcare and industrial sectors.

Proposed initiative

• The research Lab Eye Tracking and Computer Vision Research Lab under the TAG is equipped with SMI REDn Professional eye tracker and Eye Tribe eye trackers and SMI Eye Tracking Data Analytics software and open-source platforms along with humanoid robot NAO to facilitate research in areas of Glaucoma Detection, Mental Health wellbeing, Video Surveillance, and human-computer interaction research
• International Collaboration with universities.
  Joint Research work with University of Trento, Italy which was Funded under Erasmus ICM. Dual Degree PhD Programme in Multimodal Physiological Data Analysis for Mental State Prediction.
  Joint Research work with University of Missouri, Columbia, US in the area AI of Agriculture – Maize Yield Prediction using multimodal data.
  Joint Research work with University of Oakland in “Personalized Patient Health Outcome Enhancement through Cancer Radiotherapy Treatment Plan Optimization”
• Industrial Collaboration
  Paralaxiom Technologies Private Limited, Bengaluru, India taken up consultancy work on Vision and NLP
  ABB Global Industries and Services Private Limited, India taken up joint research work on Usability Lab
  Intellectyx Data Science Private Limited, India has signed an MoU for Research Collaborations and working on Drift Design and Semantic Classification Projects
  Honeywell Technology Solutions Lab Pvt Ltd, Bengaluru, India in the areas of AI for Vision and Speech and has signed an NDA in the areas of AI for Vision, Speech, Blockchain etc., (Completed 5 industry Honeywell Techpupa Projects)
  Samsung India, executed industry project on Explain ability AI
• Hospital Collaboration in Research Projects
  HCG Cancer Centre, Bengaluru
  Narayana Nethralaya, Bengaluru
  NIMHANS, Bengaluru
  AIMS, Fariadabad
  Creation of open-source dataset for research community to utilize open-source dataset titled ‘Eye Movements dataset for Objective Assessment (EMOA) ‘data availability link: https://data.mendeley.com/datasets/795gmyst22/3
• The research lab focusses on being the top research contributor in the field. As of October 2023, the publication status of eye tracking research in India indicates that the Amrita Vishwa Vidyapeetham to be the top institution in publication contribution with members of the research group achieving the top position in the list.
• Setup initiatives in the areas of Virtual Reality in Education and HealthCare and Brain Computer Interface
• Dr. Amudha J., Core Committee member for MANAS Codeathon 2023, along with the tag team faculty mentors, guided more than 20 teams for MANAS app developed by CDAC.
• In many rural parts of India, primary eye care centers do not have a screening test for glaucoma due to the cost of machines, technical skills required for technicians, and the work environment for placing devices and the whole system. We have generated a screening index for glaucoma based on the eye movements of patients while performing day to day tasks. Now we are working on larger data collection to improve the sensitivity of the experiment for which the prototype has been developed which can act as Screening Tool for Glaucoma Diagnosis in Primary Eye care Centre’s. A longitudinal study (progressive study) to understand alterations in eye movement patterns of an individual during various stages of glaucoma and how it is been affected during glaucoma treatment.  
• The project, titled “Comparison of Oculomotor Abnormalities in Patients with Parkinson’s Disease with and without Psychosis and the Impact of Deep Brain Stimulation: An Observational Eye Tracking Study,” was a collaborative effort with the National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru. The study examined oculomotor behaviors in Parkinson’s Disease (PD) patients, specifically focusing on the differences between those with and without psychosis. The project made available a dataset of eye movement recordings from more than 40 Indian PD patients, collected using a high-frequency (1250Hz) SMI chin rest eye tracker. Machine Learning techniques were applied to analyze and provide valuable insights from this extensive dataset for the benefit of neurologists and researchers.
• Prof. Amudha J. has initiated and established collaboration with Signed MoU with Karnataka Science and Technology Academy