Nursing Care Activity Recognition
Overview
The Nursing Care Activity Recognition project focuses on recognizing and classifying nursing activities to assist in healthcare monitoring and improve patient care. This project utilizes motion capture data to analyze common nursing actions and ensure tasks are performed according to care standards, enhancing patient safety and operational efficiency.
Key Features
- Action Classification: Identifies specific nursing tasks, such as medication administration, patient positioning, and vitals assessment.
- Assisted Living Applications: Supports assisted living environments by monitoring nursing activities, helping in quality control and training.
- Scalable Framework: The model is designed to be extended to other healthcare settings with minimal adjustments, making it versatile for broader applications.
Methodology
- Collected motion capture data specific to nursing activities in a controlled environment.
- Applied machine learning techniques to classify activities and detect deviations, with a focus on reliability and low false positives.
Impact
- Enhances patient care by monitoring nursing routines, providing insights into areas of improvement.
- Supports training programs for nursing staff by highlighting common errors or missed steps, thus contributing to a safer healthcare environment.