Hybrider Zwilling –Stresserkennung durch maschinelles Lernen

Hybrid Twin: Stress Level Detection using Machine Learning The increasing complexity of workplaces raises the level of stress, necessitating the adaptation of occupational health examinations. Previous rigid procedures should be expanded by continuously evaluating data in the workplace. This approach has become possible with the use of smart textiles, which can employ “machine learning” to create a hybrid twin that provides valuable occupational health findings throughout the entire occupational period.