Deaf and mute people have used sign language to communicate their thoughts and feelings for a long time. Since there is no universal sign language, the needy people use country-specific sign languages. An automated sign language recognition system is a universal solution to this impediment. Dr Manikandan V M, Assistant Professor, Department of Computer Science Engineering, and his student, Ms Bhavana Siddineni, have been working in this regard to ease the communication technology. They have published a chapter in the book, ‘Challenges and Applications for Hand Gesture Recognition’. The book is published by IGI Global Publishers, a leading international academic publisher. The chapter is titled “Recent Advancements in Design and Implementation of Automated Sign Language Recognition Systems”.

Sign language systems in practice are invariably specific to a territory. For example, American Sign Language (ASL) is popularly used by Americans, and Indian Sign Language (ISL) is commonly practised in India. Communication between two people who know the specific sign language is relatively easy. But, if a mute person wants to communicate with another person who is not familiar with sign language, it is a difficult task, and a sign language interpreter is required to translate the signs. This issue motivated the computer scientist to work on automated sign language recognition systems capable of recognizing the signs from specific sign languages and converting them into text information or audio so that the common people can understand them easily.

Through the proposal put forward in the publication, our researchers are planning to design and implement a reliable Automated Sign Language Recognition system in the future. This book chapter will be a useful reference for students who wish to start their research work in the domain of Automated Sign Language Recognition.

“The correct analogy for the mind is not a vessel that needs filling, but wood that needs igniting” – Plutarch

Where would you go to get the most appropriate feedback to improve your learning? Whom would you approach? An active learner requires continuous assessment. Exposure to relevant remarks can make a significant impact in the learning output. Choosing the right source of feedback is important to locate your position in the learning ecosystem. This is where C-SMILE enters the frame.

The Department of Computer Science and Engineering is delighted to inform you that the patent application (202241010415) entitled ‘Classification of Student’s Misconceptions in Individualized Learning Environments (C-SMILE)’ got published. The patent application was submitted by Associate professor Dr Sobin C C and BTech final year student Meka Varsha as part of the Capstone Project.

C-SMILE is an innovative platform which allows students to take assessment and receive feedback based on their performance and misconceptions. This targets to refine their conceptual and individualised learning. The platform offers the benefits of automated identification of misconceptions and classification of their level of conceptual clarity. This eventually leads to pertinent feedbacks and ensures quality learning. It also helps engineering educators to classify their students into different categories based on their level of conceptual clarity. Short quizzes and multi-level assessments can utilise the objective of this platform.

Dr Sobin C C and Meka Varsha have collaborated with Mr Subheesh N P from IIT Madras and Mr Jahfar Ali from IIT Hyderabad as part of this work. The team has already published 2 conference papers. One of them is in the prestigious IEEE Global Engineering Education Conference (EDUCON 2022), which is the flagship conference of IEEE Education Society.

The researchers are now working on to extend this concept to incorporate Bloom’s taxonomy to formulate more specific questions based on their level in the cognitive domain.