Browsing by Author "Dessanti, Augusto Luvisa"
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- A deep learning system for daily activity recognition in smart home environmentsPublication . Dessanti, Augusto Luvisa; Lima , JoséThis work presents the implementation of a system for daily activity classification using 3D Convolutional Neural Networks (3D CNN) and the Toyota Smarthome Dataset. The system aims to generalize and correctly classify activities, even in the face of data limitations such as high class imbalance, ambient occlusions, and similarities between classes. To overcome these challenges, preprocessing techniques and data augmentation were applied, including spatio-temporal resizing and image enhancement, with the objective of optimizing learning and generalization capabilities of the model. The proposed approach proved to be effective compared to other models on the same dataset, achieving 85.7% accuracy, 0.8568 precision, and 0.8570 recall.