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Topical Collection "Sensors for Gait, Posture, and Health Monitoring"


Prof. Dr. Thurmon Lockhart
Guest Editor
School of Biological and Health Systems Engineering, Ira A Fulton Schools of Engineering, Arizona State University, Tempe, AZ, USA
Interests: gait and posture; activity monitoring; fall risk assessment; nonlinear dynamics; biodynamics; wireless inertial sensors; wearables; musculoskeletal and neuro-rehabilitation
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Topical Collection Information

Dear Colleagues,

In recent years, many technologies for gait, posture, activity assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of gait and posture parameters as well as their activities of daily living (ADL). Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), the wearable health/performance area is growing rapidly and has the potential to transform the future of healthcare from disease treatment to disease prevention.

The objective of this Topical Section within the Sensors journal is to address and disseminate the latest gait, posture, and ADL monitoring systems as well as various mathematical models/methods characterizing mobility functions. As such, in this Section, we call on those researchers who have used various sensor technologies and methods to assess gait, postural, and activity characteristics among varied populations. We especially welcome those topics related to wearables and their computational models, such as machine learning and artificial neural networks seminal to the foundation of AI.

This Topical Section focuses on wearable/passive monitoring systems and physical sensors and their mathematical models that can be utilized in varied environments and varied conditions in monitoring health and performance.

Prof. Dr. Thurmon Lockhart
Guest Editor

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