Towards Trustworthy Machine Learning For Human Activity Recognition

The article discusses the challenges and advancements in human activity recognition using machine learning, deep learning, and sensor technology. It highlights the importance of accurate and reliable predictions, as well as the need for privacy protection in handling sensitive activity data. The thesis aims to address these challenges and proposes a customizable privacy metric for users.