Automated W-Sitting Posture Detection in Toddlers

In recent years, there has been an increasing demand for automated systems in various sectors, particularly in the healthcare industry. This research paper focuses on developing an automated system to address clinical issues related to toddler monitoring, specifically targeting the detection of W-sitting posture. While occasional W-sitting is considered typical in a toddler’s development, habitual W-sitting can lead to atypical symptoms and potential health concerns. Therefore, it is crucial for parents to monitor their toddlers and discourage this sitting posture. This study used RoboFlow 2.0 AutoML Classification model to recognize W-sitting posture in toddlers automatically.