This study reports on the system architecture designed for a Smart-Fabric Wireless Body Area Sensor Network (SF-wBASN) developed within the Sense-Rise project. The system aims at assessing psychological and physiological indexes for the detection of work risk levels. Here, we describe the modules embedded into the SF-wBASN and the basic architecture implemented in the multi-sensor integrated platform. Specifically, SF-wBANS comprises several nodes that allow for acquiring Bio-impedance, Electrocardiogram, Respiration, Temperature and Humidity skin gradient signals. The architecture is tested by acquiring physiological signals from a healthy subject in different physical conditions. Results show the architecture’s good performance in terms of size, operating time, precision, and reliability.