Advancing Human Gait Monitoring with Wearable Sensors

Dear Colleagues,

Human gait is a fundamental indicator of health, functional mobility, and neurological status. Advances in wearable sensor technology have enabled continuous, non-invasive, and ecologically valid monitoring of gait in real-world settings. This Special Issue of Sensors aims to explore the latest innovations in

• Wearable devices;
• Data acquisition;
• Signal processing;
• Machine learning techniques for gait assessment.

Contributions may include, but are not limited to,

• Inertial measurement units;
• Pressure insoles;
• Smart textiles;
• Multi-sensor integration approaches that capture spatiotemporal, kinematic, kinetic and physiological parameters of human movement;
• Gait analysis in movement disorders and other clinical conditions.

The Special Issue seeks to highlight research that bridges laboratory-based analyses and monitoring of daily life, with applications in clinical assessment, rehabilitation, fall-risk prediction, sports science, and occupational health. Emphasis is placed on studies that address sensor placement, data reliability, algorithm development, personalization, and the translation of sensor outputs into actionable insights for clinicians, therapists, and individuals.

By focusing on wearable sensors, this Special Issue aligns directly with the journal Sensors, which prioritizes interdisciplinary research on sensor technology, signal processing, and data interpretation. The Special Issue provides a platform for disseminating novel methodologies, practical applications, and challenges in human gait monitoring, fostering the adoption of wearable sensor solutions in healthcare and beyond.

Dr. M. Encarna Micó-Amigo
Guest Editor

Dr. Sauvik Das Gupta
Guest Editor Assistant

Manuscript Submission Information

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