Design and implementation of an IoT-based multimodal stress monitoring architecture using edge AI and physiological sensors
Experimental validation of the facial emotion recognition component on benchmark data sets along with the real-time heart rate acquisition through the embedded PPG sensor proves the efficacy of the developed sensing modules to enable the use of the suggested IoT framework for stress monitoring purposes.