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

• Published in: Applied sciences Vol. 10; no. 20; p. 7122
• Main Authors: Jalal, Ahmad, Batool, Mouazma, Kim, Kibum
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 15.10.2020
• Subjects: 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

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...