Fuzzy Logic Empowerment for Thermoelectric Transducer Performance Optimization

This research paper explores the integration of Thermoelectric Generators (TEGs) as dual-function components in wearable devices, serving as both energy harvesters and fuzzy logic-enhanced actuators. The study presents experi-mental results highlighting the TEG's performance in harvesting energy from applied temperature gradients. The harvested energy can power the wearable device, addressing the demand for sus-tainable power sources in various fields including healthcare applications. Additionally, the paper introduces the application of fuzzy logic systems to refine the TEG's role as an actuator. It is worth noting that the TEG's voltage output is utilized to measure temperature variations, and the fuzzy logic system interprets these inputs to optimize alert system responses. This amalgamation of TEGs and fuzzy logic offers a novel approach to enhance the accuracy and responsiveness of temperature-sensitive alert systems. The research findings provide valuable insights into the potential of this integrated system for advancing wearable and medical device technology.