Enhancing mobile brain and body imaging: Open-source solutions for real-world research applications.

Authors

Thorge Haupt, Paul Maanen, Mareike Daeglau, Miguel Contreras Altamirano, Anouk Sophie Stritzke, Franziska Kiene, Julius Welzel, Sarah Blum, Mandy Roheger, Stefan Debener

Published in

iScience. Volume 29. Issue 7. Pages 116647. Jul 17, 2026. Epub Jul 07, 2026.

Abstract

Mobile brain and body imaging (MoBI) requires monitoring human behavior in real-world settings using unobtrusive, portable hardware. To address multi-sensor signal streaming and time-synchronized recording on smartphones, we previously developed the open-source Android apps Senda and Recorda. Senda converts smartphone sensor signals into lab streaming layer (LSL) streams, while Recorda time-synchronizes and records them, bringing desktop LabRecorder functionality to android. Here, we report recent framework improvements. The ecosystem now integrates body-worn inertial measurement units (IMUs), GPS location streaming, and Google MediaPipe pose landmark motion capture. Furthermore, we improved usability by introducing real-time stream integrity feedback and Viewa, a new app for visualizing LSL streams. Two validation studies demonstrate reliable performance, showing high correlations between app-derived sensor data and reference sensors. These updates significantly expand research capabilities, seamlessly extending the LSL standard out of the traditional lab and into real-world scenarios.

PMID:
42438826
Bibliographic data and abstract were imported from PubMed on 13 Jul 2026.

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