Smart Homes and Machine Learning: A Review of Human Home Daily Living Activities Recognition Methods

This paper aims to provide a synopsis of machine learning techniques with their benefits and drawbacks for human activities classification systems regarding automated homes. After an examination of the results, the challenges are raised, along with recommendations for addressing these hurdles and seizing the opportunities which opens up novel opportunities for future research and development focused on creating reliable and precise human daily living activities recognition models for smart homes.