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군 부대 조직 관리 시스템에 적용된 한국인 감정인식 딥러닝 모델
박두홍(Doohong Park),하홍석(Hongsuk Ha),정동호(Dongho Jeong),강동구(Donggoo Kang),백준기(Joonki Paik) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Maintaining the mental health of soldiers is crucial for the well-being of any army. In this paper, we present a military organizational management system using deep-learning based emotion recognition system, with a focus on facial expressions among various emotional expression elements of humans. We used CNN-based K-EmotionNet as a classification model to identify negative emotions of individuals who may be struggling to adapt to the organization or experiencing personal issues. By conducting statistical analysis on the classified results, the system aims to proactively identify individuals who may require assistance and provide managers with information to take necessary measures for organizational management. The proposed system can ultimately contribute to the well-being and effectiveness of military units.