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

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Authors: Yulith V. Altamirano-Flores, Paulino E. Bermúdez Rodríguez, Iván González, Luis Cabañero, Irvin Hussein López-Nava
Cited by: 0
References: 4

Abstract

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.

Fields of Study & Subjects

Context-Aware Activity Recognition Systems Mobile Crowdsensing and Crowdsourcing Wireless Sensor Networks for Data Analysis

Publication details

Journal / source
Software Impacts
Volume
27
Pages
100825–100825
Publication date
25 February 2026
Language
EN