Welcome to the 7th ABC Challenge
Brought to you by Stevens Institute of Technology in conjunction with ABC

Challenge Awards!

🥇 1st PLACE - Team Persistence: Facial Behavior-Based Depression Detection with Bi-LSTM and Evaluation via Universal and Hybrid Methods

Team Members: Md. Rakibul Islam (American International University - Bangladesh (AIUB)); Dip Sarker (American International University - Bangladesh (AIUB)); Md. Tafhimul Haque Sadi (American International University - Bangladesh (AIUB)); Labib Hasan Bayzid (American International University - Bangladesh (AIUB)); Dr. Md. Kabiruzzaman (American International University - Bangladesh (AIUB)); Shahera Hossain (University of East London)

🥈 2nd PLACE - Team Semicolon: Optimizing Facial Expression and Head Dynamics Data Processing to Enhance Depression Detection with Cutting-Edge AI Models

Team Members: Aldo Januansyah (Informatics Universitas Malikussaleh Lhokseumawe); Rifa Amril Sahputra (Informatics Universitas Malikussaleh Lhokseumawe); Muhammad Adhiguna Hasibuan (Informatics Universitas Malikussaleh Lhokseumawe); Muhammad Yudya Ananda Hasibuan (Informatics Universitas Malikussaleh Lhokseumawe); Faiz Syukri Arta (Informatics Universitas Malikussaleh Lhokseumawe); Muhammad Fikry (Informatics Universitas Malikussaleh Lhokseumawe)

Overview

FacePsy is an open-source affective mobile sensing system designed to detect depression and analyze emotional states using facial behavior and head gestures. The system collects data from naturalistic settings via smartphones and includes key features like eye-open states, head pose, smile expressions, and Action Units (AUs) for analysis.