Pressure Sensor

Pressure sensors are being extensively researched for diverse applications, ranging from monitoring critical infrastructure (e.g., water networks) to human activity recognition (e.g., gait analysis and exercise monitoring). Current research emphasizes the development of sophisticated algorithms, including deep learning models like convolutional neural networks (CNNs) and transformer networks, to process pressure data and extract meaningful information, often incorporating multimodal data fusion with vision or acoustic sensors. These advancements are driving improvements in accuracy, efficiency, and the scope of applications, impacting fields from healthcare and robotics to security and logistics.