Sensor-Based Gait Analysis
A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 68
Editors
Interests: movement analysis; biomechanics; motor control; neurological rehabilitation; new techonologies in rehabilitation
Special Issues, Collections and Topics in MDPI journals
Interests: gait analysis; multiple sclerosis; rehabilitation; exoskeleton
Interests: biomechanics; human movement analysis; neurological disorders and rehabilitation; transcranial direct current stimulation (tDCS); statistical analysis; research methodology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human movement analysis has become an essential area of research in clinical, rehabilitation and biomechanical sciences. Recent advances in sensor technologies, wearable devices, motion capture systems, computer vision, inertial measurement units and other digital health tools have substantially expanded our ability to objectively quantify movement in both laboratory and real-world environments. These developments provide unprecedented opportunities to improve the assessment of motor performance, detect movement impairments, monitor functional changes over time and support evidence-based interventions.
This Special Issue aims to present and disseminate the latest advances in sensor-based movement analysis and assessment. We welcome original research, reviews and methodological studies focused on the development, validation and application of innovative technologies and instruments for measuring, monitoring and analyzing human movement. We also invite studies that report novel scientific, clinical or biomechanical findings derived from these measurement tools across diverse populations and contexts, including health, disease, rehabilitation, physical activity and aging.
Topics of interest for publication include, but are not limited to, the following:
- Gait and locomotion analysis;
- Wearable and portable sensing technologies;
- Motion capture and computer vision systems;
- Validation of movement assessment instruments;
- Digital biomarkers and movement outcomes;
- Artificial intelligence and machine learning for movement analysis;
- Clinical and rehabilitation applications;
- Human movement monitoring in real-world environments.
Prof. Dr. Francisco Molina-Rueda
Dr. Diego Fernández-Vázquez
Dr. Víctor Navarro López
Guest Editors
Manuscript Submission Information
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Keywords
- biomechanical markers
- gait analysis
- motion capture systems
- rehabilitation applications
- wearable motion analysis sensors
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