DEVELOPMENT OF A HEALTHCARE-FOCUSED INTELLIGENT SCENE UNDERSTANDING SYSTEM (ISUS)

Description

The Healthcare ISUS project aims to create an intelligent scene understanding system utilizing vision-based multi-modal sensing for object recognition, face detection and recognition, gait movement analysis, crowd behavior evaluation, and affective state estimation in healthcare environments. This project seeks to understand and improve patient and healthcare provider experiences, detect abnormalities, and enhance efficiency and safety.

Scope

Multi-Modal Sensing System

• Develop a comprehensive sensing system combining cameras and sensors.
  

Recognition Modules

• Implement object, face, and gait recognition modules.
  

Behavior Analysis:

• Develop crowd behavior analysis and affective state estimation components.
  

Abnormality Detection

• Create algorithms for identifying unusual patient behaviors or scenarios.
  

Efficiency and Safety

• Utilize ISUS data to optimize healthcare facility operations and improve safety protocols.
  

User Interface

• Design a user-friendly interface for easy access to insights.
  

Integration

• Ensure seamless integration with existing healthcare systems.
  

Benefits

• Enhanced Patient Care: Continuous monitoring improves patient safety and allows for early intervention.
• Efficiency Optimization: ISUS streamlines operations, reducing wait times and enhancing resource management.
• Improved Patient Experience: Real-time emotional state monitoring creates a more patient-centric environment.
  
• Cost Savings: Optimization reduces operational costs and minimizes liabilities.
  
• Data-Driven Decisions: Administrators and providers gain valuable data for evidence-based decision-making.
  
• Research Opportunities: Rich datasets support clinical research and innovation.