Battery-Free, Wireless Graphene Pressure Sensor for Machine Learning-assisted Posture Classification and VR/AR Visualization in Smart Healthcare Environments

Key Points

• To develop a battery-free, wireless graphene pressure sensor that aids in posture classification and visualization.
• Designed a graphene-based pressure sensor for continuous monitoring at skin interfaces.
• Implemented machine learning algorithms for posture classification.
• Tested sensor in simulated healthcare environments to assess performance.
• The graphene sensor effectively monitored pressure with high accuracy.
• Machine learning models demonstrated improved posture classification rates.
• The system was lightweight and suitable for wearable applications.