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AI & Disability Studies

AI & Disability Studies

A major thrust area at AmritaCREATE is research and development of assistive technologies, frameworks, and methodologies drawing from Computer Science, Behavioral Sciences, and Learning Science to design interventions and solutions to empower persons with disabilities.

Sign Language Accessibility for e-Governance Services

Accessibility to e-Governance services for Divyangjan remains a challenge. An interface that integrates Indian Sign Language (ISL) into e-Governance services for deaf individuals is under development.

For more details, visit Project Page.

A Multi-dimensional Framework for Reading & Spelling Acquisition in Malayalam

Understanding the writing system is critical to developing screening and assessments, and designing specific intervention strategies for reading and spelling acquisition in children, including children with specific reading difficulties.

Visit Project Page.

Screening Supporting Diagnosis and Education of Autistic Children 

The focus of the research is the early identification of autistic children so that they get suitable support for their education and improve the quality of their lives.

To know more, visit Project Page.

Related Projects

Segmentation of Breast Tissues and Classification of Breast Based on Breast Tissue Density
Segmentation of Breast Tissues and Classification of Breast Based on Breast Tissue Density
Enhancement of Biodegradative Activity in Commercial and Lab Scale Compost Preparations with Lignocelluloytic fungi and nitrogen fixing bacteria as supplements- A Comparative Study
Enhancement of Biodegradative Activity in Commercial and Lab Scale Compost Preparations with Lignocelluloytic fungi and nitrogen fixing bacteria as supplements- A Comparative Study
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Control point selection and matching for registration of CT/MRI images
Control point selection and matching for registration of CT/MRI images
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
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