Fuzzy Logic
Also known as: Fuzzy Inference
Fuzzy logic is a form of many-valued logic that deals with approximate reasoning, where truth values range continuously between 0 and 1 rather than being strictly true or false. In assistive technology and signal processing, fuzzy logic systems are used to handle imprecise or noisy input signals — for example, classifying whether an eye is "probably moving" or "probably stationary" based on bio-electrical signal characteristics, rather than making a hard binary decision. Fuzzy logic controllers can adaptively filter noise and drift from biosignals, making them valuable for eye tracking, brain-computer interfaces, and other physiological input systems where signals are inherently uncertain.
Category: Artificial Intelligence · Signal Processing · Adaptive Systems · Technology
Related: Electrooculogram · Brain-Computer Interface · Machine Learning