Medication and Meal Intake Monitoring using Human-Object Interaction
Pann Thinzar Seint, Thi Thi Zin, Mitsuhiro Yokota · 2018
Needs for end-of-life care are rising because of increasing age-related challenges. Among them, maintenance of nutrition and medication play an important role in healthcare of elderly people. In this situation, caregivers need to receive the daily record as a trending of usage which will lead to improvements in the quality of care. Our objective is to establish a video monitoring system for the act of taking medication and eating activity which is designed by using human-object interaction. For the evaluation of medication intake scenario, we propose the hierarchical classification system using hybrid PRNN-SVM model for action classification and activity interpretation. By the contribution of rule-based learning, our system also recognizes drinking/eating activity.