Stress is a psychological or mental health issue that affects one person in four. Prolonged negative emotional stress can potentially lead to deterioration in health, a decrease in quality of life, and an increase in healthcare utilization. Due to these effects of stress in daily life, it is important to monitor the psychological state of individuals experiencing it in real time and treat them appropriately. For this reason, several methods are proposed to detect stress: standardized questionnaires, biochemical analysis, facial expression analysis (FEA), measuring physiological changes. The questionnaires lose their reliability when applied frequently and may also be unreliable because they may not be filled out sincerely. FEA remains subjective and requires the intervention of medical personnel. Although biochemical analysis is a widely used and reliable measure, its major limitation lies in the inability to detect stress in real-time. Following all of these limitations, it is found that the most reliable method for identifying individuals’ stress levels is recording their biophysiological signals. These represent a non-invasive and non-intrusive method, allowing real-time monitoring. For this purpose, the most relevant biophysiological activities are identified like cardiovascular, respiratory, muscular, cervical, electrodermal, and thermal. Although several studies have utilized skin temperature as a stress indicator, focusing on thermal activity, they often neglect the heat exchanges between the individual's body and the environment, which are of utmost importance. Therefore, the novelty of this study lies in the utilization of a textile heat fluxmeter (THF) capable of considering the heat exchange between the human body and the environment for stress detection. The paper outlines the conceptualization of THF, the calibration method for sensor sensitivity, and the experimental design for stress detection. Thus, this study aims to provide a comprehensive understanding of the relationship between heat flux and stress for practical applications in stress monitoring and management.