Wearable Sensors for Biomechanical Gait Analysis

Dear Colleagues,

Recently, wearable sensors (like body-worn inertial sensors) are attracting substantial interest due to their potential to provide continuous, real-time functional information via dynamic, non-invasive measurements of biochemical markers in the gait cycle, such as kinetic and kinematic behaviors. These wearable sensors make it easy for researchers to collect gait biomechanics data in indoor (treadmill) and/or outdoor (natural, real-world) settings due to the many advantageous factors, such as small size, lightweight, easy to set up, portable, highly effective, and low cost. Using biomechanical gait data from multiple wearable wireless sensors (like fusing IMU and wrist-worn sensors) during various movement activities, paired with advanced signal processing and machine learning techniques can make clinical predictions and diagnostics tools to help track and treat musculoskeletal disorders, injuries, and performance assessment. This Special Issue of the Sensors journal entitled “Wearable Sensors for Biomechanical Gait Analysis” will focus on all aspects of research and development related to these areas. This Special Issue focuses on the development, validity, use, and applicability of wearable devices in biomechanical gait pattern identification. The broader aim is to collect high-quality papers from researchers around the world working in this area to make biomechanical gait monitoring more widespread and more effective using wearable technologies.

Dr. Nizam Uddin Ahamed
Prof. Dr. Chris Connaboy
Prof. Dr. Qi Mi
Dr. Maria de Fátima Domingues
Guest Editors

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