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Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis
(2016)
Recognition of activities through wearable sensors such as accelerometers is a recent challenge in pervasive and ubiquitous computing. The problem is often considered as a classification task where a set of descriptive ...
Parkinson's Disease Monitoring from Gait Analysis via Foot-Worn Sensors
(2018)
Background: In Parkinson's disease (PD), neuronal loss in the substantia nigra ultimate in dopaminergic denervation of the stiratum is followed by disarraying of the movements' preciseness, automatism, and agility. Hence, ...
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis
(2017)
Remote care and telemonitoring have become essential component of current geriatric medicine. Intelligent use of wireless sensors is a major issue in relevant computational studies to realize these concepts in practice. ...