no code implementations • 13 May 2024 • Yuning Huang, Mohamed Abul Hassan, Jiangpeng He, Janine Higgins, Megan McCrory, Heather Eicher-Miller, Graham Thomas, Edward O Sazonov, Fengqing Maggie Zhu
Experimental results on the collected dataset show that our proposed method for automatic ingestion environment recognition successfully addresses the challenging data imbalance problem in the dataset and achieves a promising overall classification accuracy of 96. 63%.