Machine Learning Driven Sensing for IoT Building Applications

Sensing technologies play an important role in realizing smart, energy-efficient and sustainable buildings. Sensors of different modalities are part of building infrastructures, like lighting, HVAC and surveillance, that are increasingly becoming connected. Data from such multi-modal IoT sensors can be used to realize new and improved building applications using advanced signal processing and machine learning. In this tutorial, we will cover the following topics: - IoT building applications like lighting/HVAC controls, system monitoring and diagnostics, space management, and location-based services; - Sensor system and machine learning architectures; - Machine learning based sensor data processing techniques.