The Application of Sensing Technologies for Gait Analysis and Rehabilitation: The Role of Digital Health and Artificial Intelligence
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: 25 March 2026
Special Issue Editor
Interests: wearable devices that involve biosensors that, for a patient with a foot injury, for example, track changes in range of motion, gait speed, physical activity, and other measures of function
Special Issue Information
Dear Colleagues,
The integration of sensing technologies with artificial intelligence and digital health is transforming the landscape of gait analysis and rehabilitation. Traditional gait assessments, often limited to clinical settings and subjective observation, are increasingly being augmented—or replaced—by wearable sensors, ambient sensing systems, and data-driven models that offer objective, continuous, and ecologically valid insights into human movement.
This Special Issue brings together cutting-edge research that leverages digital sensing platforms—such as inertial measurement units (IMUs), pressure sensors, optical systems, and electromyography—paired with advanced computational approaches like machine learning and computer vision. These technologies enable precise gait characterization, remote monitoring, and personalized rehabilitation interventions across a variety of patient populations, including those with neurological, musculoskeletal, or age-related mobility impairments.
We invite original research articles, reviews, and technical reports for this Special Issue, exploring how sensing technologies, digital health platforms, and AI-powered analytics are revolutionizing gait analysis and rehabilitation.
Dr. Charles Odonkor
Guest Editor
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Keywords
- gait analysis
- wearable sensors
- rehabilitation
- artificial intelligence
- digital health
- machine learning
- inertial measurement units (IMUs)
- telemedicine
- motion capture
- smart healthcare
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