Robust and anti-swelling MXene composite hydrogel sensors for intelligent gait monitoring via a CNN-LSTM network

Key Points

• The aim is to develop an effective MXene-composite hydrogel sensor for accurate gait monitoring.
• Developed a robust hydrogel sensor using MXene composites.
• Implemented a hybrid deep learning model combining CNN and LSTM for data analysis.
• Evaluated sensor performance in monitoring gait patterns.
• The sensor accurately monitors gait movements with minimal swelling effects.
• Hybrid CNN-LSTM network improves predictive accuracy for gait analysis.