A New Perspective in Health Recommendations: Integration of Human Pose Estimation

In recent years, there has been a growing interest in multimodal and multi-source data due to their ability to introduce heterogeneous information. Studies have demonstrated that combining such information enhances the performance of Recommender Systems across various scenarios. In the context of Health Recommendation Systems (HRS), different types of data are utilized, primarily focusing on patient-based information, but data from Pose Estimations (PE) are not incorporated.