Resumen de Machine learning-based techniques for indoor localization and human activity recognition through wearable devices

Emilio Sansano Sansano

• This thesis approaches the study of several machine learning techniques to improve the performance of indoor positioning systems, with a special focus on wearable and low-cost devices. It also presents some tools designed to facilitate the research in this field through the development of a software framework for indoor positioning-related research, and the creation of a web platform committed to becoming a collaborative repository of data. The framework has been developed as an open-source package for the R language platform. This allows other users to collaborate in the development of future functionality.