Innovative Biomechanical Methods for Practical Locomotive Assessments
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 30 December 2025 | Viewed by 8
Special Issue Editors
Interests: minimisation of falls risks among older adults; understanding biomechanical factors for knee osteoarthritis; effects of 3D visual perception on flooring to control walking patterns to reduce slipping risks; biomechanical modelling and simulation of the major factors of falls when older adults are walking, (i.e. tripping, slipping and balance loss); footwear ergonomics to control gait patterns
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Special Issue Information
Dear Colleagues,
The advancement of biomechanical analysis over recent decades has significantly broadened our understanding of human locomotion. In particular, gait biomechanics has been widely used to evaluate neuromuscular health indicators. By assessing gait patterns before and after interventions, effective therapeutic strategies can be identified. Longitudinal gait monitoring can track changes in neuromuscular status over time. Moreover, detailed micro-level investigations of gait features—now increasingly feasible through AI—enable early detection of subtle deterioration and risk prediction.
Despite its potential, biomechanics remains underutilised in daily life. The complexity and cost of traditional biomechanical systems have largely confined their use to laboratory settings. This Special Issue seeks original research and review articles that present innovative and practical approaches to locomotive assessment, particularly those applicable beyond conventional lab-based environments.
We welcome contributions focusing on novel measurement technologies or applications addressing locomotion-related issues such as osteoarthritis, fall risk, balance, energy expenditure, fatigue, and neuromuscular pathology. Rather than fundamental research alone, our aim is to highlight translational methods that help bring biomechanics from the lab into real-world settings. We look forward to your contributions in order to help build the bridge between research and daily application.
Dr. Hanatsu Nagano
Prof. Dr. Hiroaki Kawamoto
Guest Editors
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Keywords
- biomechanics
- artificial intelligence
- locomotive assessment
- motion capture
- knee osteoarthritis
- fall risk
- foot pressure
- wearable sensors
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