The document outlines research in wearable computer vision, particularly focusing on first-person vision systems that involve localization, understanding, and anticipation of user actions. It discusses contributions to egocentric shopping cart localization and visitor behavior analysis in museums using computer vision and machine learning techniques. Key technologies and benchmarks, including a dataset for action recognition and anticipation, are highlighted along with the implications for enhancing user experience in various environments.