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Continuous Emotion Recognition on the Edge
Ej Miguel Francisco C. Caliwag(이제이),Henar Mike O. Canilang(헤나르),Angela C. Caliwag(안젤라),Wansu Lim(임완수) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
Traditional Edge AI implementation methods requires high cost computing machines / device. Aside from these high cost devices, most implementation often requires complex AI models. In this study, a real-time implementation for Edge AI devices is implemented to address the implementation cost and complexity constraints. The Arduino Nano 33 BLE sense is used as an Edge AI Device for this implementation. An open source machine learning platform is used to develop an embedded machine learning implementation which addresses the high implementation and computational complexity of edge AI implementation.