Non invasive monitoring of chronic patients or sports(wo)men needs the development of real-time evaluation of individual physiological state. Our hypothesis is that the evolution of a subject physiological state can be described as a sequence of elementary physiological situations, each corresponding to a specific combination of physiological functions. Our objective is to demonstrate the possibility to divide a daily life moment into a sequence of distinct situations from physiological (cardio-respiratory and actimetric) signals. On almost all signals and all subjects, we observe a good concordance between changes in dynamic characteristic of the signals and annotated occurrences of situation changes. When a situation change is not detected on one signal, it may be systematically located on at least another one.