Sensors in Digital and Biomechanical Engineering Sciences for Sports and Rehabilitation

Dear Colleagues,

This Special Issue, “Sensors in Digital and Biomechanical Engineering Sciences for Sports and Rehabilitation”, focuses on innovative applications of sensing technologies in software, hardware, and mechanical systems designed to analyse, support, or enhance human movement. Rather than emphasising sensor development alone, this Special Issue highlights how sensor data are integrated into advanced digital tools, engineered devices, and biomechanical systems for use in sports performance, rehabilitation, and human–machine interaction.

We welcome contributions that leverage sensor-based information for computational modelling, machine learning, motion analysis software, digital twins, real-time feedback systems, and serious-game or VR-based rehabilitation platforms. Topics include the use of wearable and vision-based sensors, smart textiles, pressure and force measurement, and multi-sensor environments to drive new sport technologies, rehabilitation devices, assistive systems, or mechanical engineering solutions.

Research addressing musculoskeletal modelling, gait and posture analysis, joint kinematics, muscle dynamics, or neuromechanical control—particularly when these analyses feed into system design, device optimisation, or personalised performance assessment—is strongly encouraged. Studies on rehabilitation robotics, prosthetic and orthotic devices, sensor-integrated mechanical structures, exoskeletons, and performance-optimised sports equipment also fall within the scope.

While applications are central, contributions on novel sensing modalities or improvements in sensor integration, calibration, data processing, and robustness are equally welcome when they enable enhanced functionality in sports or rehabilitation contexts.

This Special Issue encourages interdisciplinary work bridging biomechanics, mechanical and biomedical engineering, data science, robotics, and human–computer interaction. By focusing on sensor-driven software and engineering solutions, the Special Issue aims to promote innovations that improve motion analysis accuracy, enable real-time decision support, enhance clinical and sports outcomes, and advance the state of the art in human movement technology.

Prof. Dr. Peter Dabnichki
Dr. Dominik Hoelbling
Guest Editors

Manuscript Submission Information

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