Activity Recognition and Prediction for Smart IoT Environments

Introduction.- Methodology for human activity recognition based on wearable sensor networks.- Efficient Sensing and Classification for Extended Battery Life.- Multi-user activity monitoring based on contactless sensing.- An efficient approach exploiting Ensemble Learning for Human Activity Recognition.- Activity Recognition Using 2-D LiDAR based on Improved MobileNet.- Habit mining through process-mining techniques. Survey and research challenges.- The role of ML in Activity Recognition in the Industry 4.0.- IoT Based HAR patterns using Sensors based Approach in smart environment and enabled assistive technologies.- Trace2AR: a novel embedding for the detection of complex activity recognition.- Situation Aware Wearable Systems for Human Activity Recognition.- Conclusion.

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• Cibernética e teoria dos sistemas
• Engenharia electrónica
• Engenharia das comunicações e telecomunicações
• Interacção homem-computador
• Reconhecimento de padrões
• Hardware do computador

Internet of Things;Activity Detection;Security;Privacy;Industrial Control System;Process Mining;Intrusion Detection