2025

IEEE Robotics & Automation Magazine

PhysioSense: An Open-Source Multi-Modal Monitoring Framework for Human Movement and Behavior Analysis

Ilias El Makrini, Tom Turcksin, Taner Incirci, Elias Thiery, Stijn Kindt, Rossana Lovecchio, Hoang-Long Cao, Menthy Denayer, Erard Lamine, Stijn Huysentruyt, Tom Verstraten, Bram Vanderborght

Brubotics, Vrije Universiteit Brussel, Belgium

Keywords

multi-modal monitoring, data acquisition, synchronization, human movement, behavior analysis, ergonomics, rehabilitation, sports science

Abstract

The PhysioSense framework is presented as an open-source solution for multi-modal data acquisition and synchronization in human movement and behavior research. It addresses the challenges of integrating diverse sensor data streams, such as kinematics, dynamics, and physiological data, by leveraging the Lab Streaming Layer (LSL) for precise synchronization. The framework's modular architecture supports various applications, including ergonomics analysis and drilling assessment, demonstrating its versatility in capturing and recording data from different tools. PhysioSense offers a flexible, scalable, and human-centric solution for multi-modal data acquisition, facilitating valuable insights into human biomechanics, ergonomic performance, and physiological responses.

Moticon's Summary

The PhysioSense framework is an open-source solution for multi-modal data acquisition and synchronization in human movement and behavior research. It integrates various sensor data streams, including data from Moticon sensor insoles, to analyze human movement. Moticon insoles are used to measure ground reaction forces, providing dynamic data for applications like ergonomics analysis. The PhysioSense framework enables the synchronization of Moticon insole data with other sensor data, offering a comprehensive analysis of human movement and behavior.

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