Living-lab Integrated Sensing Architecture (LISA): A modular platform for real-time multimodal data acquisition

Living labs require the coordinated acquisition of heterogeneous data sources to support behavioral research in real-world environments. We present LISA (Living-lab Integrated Sensing Architecture), an open-source and GDPR-compliant software platform for real-time multimodal data acquisition in living-lab research. LISA integrates video streams and IoT sensors through a modular, container-based architecture that supports extensibility and privacy-aware data management. The platform has been deployed in multiple experimental studies, enabling long-term data collection and supporting published research in computer vision and activity monitoring. LISA provides a reusable software infrastructure for reproducible experimentation in intelligent environments. • Open-source platform synchronizes multiple data sources in research environments. • Supports real-world data acquisition in home and occupational therapy settings. • Enables synchronized collection of video and sensor data for daily activity studies. • Has supported international conference publications and scientific presentations. • Multimodal dataset publicly released through Zenodo for reuse by research community.