Stochastic Recognition of Physical Activity and Healthcare Using Tri-Axial Inertial Wearable Sensors

The classification of human activity is becoming one of the most important areas of human health monitoring and physical fitness. With the use of physical activity recognition applications, people suffering from various diseases can be efficiently monitored and medical treatment can be administered...

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Veröffentlicht in:	Applied sciences Jg. 10; H. 20; S. 7122
Hauptverfasser:	Jalal, Ahmad, Batool, Mouazma, Kim, Kibum
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 15.10.2020
Schlagworte:	Accelerometers Accuracy Algorithms binary grey wolf optimization Cameras Classification Datasets decision tree electrocardiogram Electrocardiography Exercise Gaussian mixture model Mathematical optimization Mel frequency cepstral coefficients Methods Optimization Patient monitoring Physical fitness Principal components analysis Sensors Support vector machines Technology application Pakistan
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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