Capacitive Sensing

Capacitive sensing leverages changes in capacitance to detect proximity, pressure, or even complex movements, aiming to create more intuitive and responsive interfaces for various applications. Current research focuses on improving sensing accuracy and efficiency through advanced machine learning models, including convolutional neural networks, Gaussian processes, and generative adversarial networks, often coupled with novel sensor designs and data augmentation techniques. These advancements are driving progress in areas such as robotics (soft robotics, precise manipulation), human-computer interaction (gesture recognition, wearable technology), and semiconductor manufacturing (process control, performance prediction), enabling more sophisticated and user-friendly technologies.