The latest Kaleidoscope academic conference organized by the International Telecommunication Union (ITU) bestowed awards for research papers focused on ensuring that tech works for the good of people worldwide.
Researchers from India’s Oxford College in Bengaluru are this year’s recipients of the best paper award at Kaleidoscope 2024 for their research proposing a smart drinking device for stroke survivors.
The research proposes an AI-driven tilt sensor to monitor the movement of a drinking glass and provide real-time feedback to find the correct drinking angle.
Read the winning paper (presentation) authored by Preeta Sharan and Anup M Upadhyaya from India’s Oxford College of Engineering and R Vasanthan from the Oxford College of Physiotherapy.
ITU Kaleidoscope is a peer-reviewed academic conference. Each annual edition highlights emerging research trends and their implications for international standardization.
ITU Kaleidoscope 2024: Innovation and digital transformation for a sustainable world ran from 21 to 23 October in New Delhi, India, alongside the World Telecommunication Standardization Assembly (WTSA-24), the governing conference for ITU standardization work that took place between 15 and 24 October.
And the runners up are…
Second prize this year goes to researchers from India and Japan for a proposed wellness companion for the elderly. The companion detects health anomalies in real time using voice emotion recognition and video-based posture recognition.
The voice emotion module is constructed using deep learning and the posture module by transfer learning, with both modules operating on a single-board computer based on the Raspberry Pi platform.
Read the paper (presentation) authored by Dhananjay, Kumar, Mehal Sakthi, Muthusamy Sivaraja, Sowbarnigaa, and Kogilavani Shanmugavadivel from the Department of Information Technology, Anna University, MIT Campus, Chennai, India, and Ved P. Kafle from National Institute of Information and Communications Technology, Tokyo.
Researchers from India and South Africa received third prize for their educational Android application, Alpha-Bit. Offering guided instruction and individual progress reports, the app aims to support universal access to tailored education experiences.
The app uses optical character recognition powered by deep learning models such as convolutional neural networks and sequential networks.
Read the paper (presentation) authored by Gobi Ramasamy, Arokia Paul Rajan, and Priyadharshini Rengasamy from India’s Christ University in Bengaluru and Antoine Bagula from South Africa’s University of the Western Cape in Cape Town.
Source: https://www.itu.int/hub/2024/11/research-advances-ai-applications-for-well-being-and-education/