The increasing demand for high-quality data in industrial applications - such as drive trains, test benches or pumping stations - poses significant challenges due to high costs for data acquisition. These costs often arise from required system modifications, extended downtimes and complex sensor-integration, even if existing systems are retrofitted with sensing capabilities. Sensor-integrating machine elements offer a promising solution by enabling in-situ data acquisition using a design space neutral approach. This paper investigates a sensor-integrating jaw coupling with integrated dielectric elastomer sensors. The focus lies on the indirect detection and evaluation of radial shaft misalignments, enabled by the sensor configuration and measurement chain. Experimental data are presented to validate the measurement concept. Furthermore, a previously proposed regression model is applied to quantify shaft misalignment based on the acquired measurements. The results indicate that the sensor-integrating coupling can be used as a multifunctional sensor-integrating machine element.