A Multimodal Smart Wearable Garment for Continuous Monitoring of Human Motor Tasks: A Multi-User Feasibility Study

The adoption of Internet of Things (IoT) technologies has facilitated the development of multimodal wearable systems for collecting physiological and motion data. In multi-user scenarios, such systems require high data integrity and software architecture stability to ensure operational reliability. This paper presents a sensorized smart T-shirt designed for continuous acquisition of cardiorespiratory and motion data, integrating dry electrodes for electrocardiography, four piezoresistive textile sensors for respiratory activity, and an inertial module for triaxial acceleration. The embedded electronics perform signal conditioning and transmit data via Bluetooth Low Energy (BLE) to a dedicated smartphone application that operates as a gateway toward a cloud infrastructure. The cloud platform supports scalable data collection and time-aligned processing, enabling real-time feature extraction and the computation of a MultiParametric Index of the user status. An exploratory feasibility session, limited to two participants and conducted under controlled conditions, highlighted the ability to manage multimodal data streams from multiple users in parallel, with multimodal synchronization and tracking of workload variations. These results support the applicability of the system in real-world scenarios requiring simultaneous monitoring of multiple individuals, including occupational settings, group training, and daily life activities.