This is to inform Ashfaq and Shochcho that two of our undergrad research students got selected for the ACM SIGCHI Winter School. Only 5 applicants received travel grants and Ashfaq is one of them.
The workshop might offer 4 more grants, so let’s hope for the best.
The school will be held on Jan 2-4 in Colombo.
We are happy to announce that one of our papers, “An Integrated System for Stroke Rehabilitation Exercise Assessment using KINECT v2 and Machine Learning, “ has been accepted and presented at the “15th International Conference on Intelligent Human-Computer Interaction, South Korea”. This work is an outcome of a CCDS project on “Automated and Computerized Rehabilitation Systems for Stroke Patients”. This work is jointly supervised by CCDS professors Dr. M Ashraful Amin, Dr. Amin Ahsan Ali, Dr. A K M Mahbubur Rahman, and Dr. Ashraful Islam and collaborated with Eshtiak Ahmed from Tampere University, Finland.
In this work, a home-based rehabilitation system is designed to address these challenges by leveraging the capabilities of the KINECT v2 3D camera. Our system, equipped with a graphical user interface (GUI), allows patients to perform, monitor, and record their exercises. By utilizing advanced machine learning algorithms, specifically G3D and disentangled multi-scale aggregation schemes, the system can analyze exercises, generating both primary objective (PO) and control factor (CF) scores out of 100.
We are happy to announce that five of our papers have been accepted in “the first Bangla Language Processing (BLP) Workshop will be co-located with EMNLP in Singapore. Papers are titled with:
We are happy to announce that one of our papers titled “Early Stage Design of a mHealth Intervention for Managing Gestational Diabetes Mellitus in Bangladeshi Women”, has been accepted and presented at “25th International Conference on Human-Computer Interaction, Denmark (Acceptance Rate: 26.42%; Ranked 18th for combined HCI Journal and Conference ranking by Google Scholar)”. This work was a joint collaboration between CCDS professor Dr. Ashraful Islam and collaborators from the University of Wisconsin, USA and Tampere University, Finland.
In this work, the authors propose an early-stage design of user interfaces (UIs) for a mobile health (mHealth) intervention using the Bengali language that allows users to input daily measures of blood glucose, weight, and other GDM-related health data. The intervention is designed to provide users with personalized feedback based on their input and the necessary coaching for managing GDM. It also reminds users to take medication if prescribed by their doctors. The app has six key features: blood glucose tracking, food logging, medication reminders, activity tracking, educational resources, and personalized recommendations.
