Background Despite being available for more than three decades, quantitative gait analysis
remains largely associated with research institutions and not well leveraged in clinical …

Among diverse wearable techniques, insole‐based plantar pressure monitoring systems
have surged as a leading technology to monitor patient's chronic disease progression. Such …

Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …

Background automatic recognition of human movement is an effective strategy to assess
abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …

Wearable technologies are gaining momentum and widespread diffusion. Thanks to devices
such as activity trackers, in form of bracelets, watches, or anklets, the end‐users are …

Monitoring body motion is relevant to motor control disorders as well as assessment of fine
motor skills in child development. Furthermore, motion tracking is necessary for …

Over the past few decades the increased level of public awareness concerning healthcare,
physical activities, safety and environmental sensing has created an emerging need for …

Monitorization of gait‐related parameters is of the utmost importance to prevent
complications in several diseases, ensuring affordable healthcare for the growing amount of …

During the past decade, smart insole-like devices become more and more popular in daily
applications, such as gait studies, activity recognition, health monitoring and evaluation …

Digital Twin technology has been rising in popularity thanks to the popularity of machine
learning in the last decade. As the life expectancy of people around the world is increasing …