Sensor Array

Sensor arrays, comprising multiple sensors working in concert, aim to enhance measurement accuracy, robustness, and information richness beyond the capabilities of individual sensors. Current research emphasizes developing advanced signal processing techniques, including deep learning models like convolutional neural networks (CNNs) and graph neural networks, to improve data analysis and compensate for sensor drift or noise, particularly in challenging environments. These advancements are driving progress in diverse applications, such as environmental monitoring (air and water quality), medical diagnostics (breath analysis), and human activity recognition, where improved accuracy and efficiency are crucial. The development of optimized hardware and software for sensor array systems is also a significant focus, enabling deployment in resource-constrained settings.