
A clearer pulse signal could mean earlier warning before danger strikes. This study introduces an interfacial engineered triboelectric sensor (IETS) designed to capture weak arterial pulse waves even when a wearable device is pressed tightly against the skin. By improving how stress is transferred across the sensor-skin interface, the device preserves fine pulse-wave details that are often lost in conventional wearables. Integrated with machine learning, the system turns those signals into real-time assessments of cardiovascular condition and fatigue state. The work points to a more practical path for wearable warning systems that could help reduce fatigue-related driving risks and support everyday cardiovascular monitoring.