An efficient empirical mode decomposition based feature extraction model for human activity recognition of elderly people using machine learning algorithms
Abstract:Many individuals throughout the globe need to be constantly monitored for health reasons, including diabetes patients and individuals with other chronic diseases, the elderly, and the disabled. At any time, these individuals may be at a higher risk of suffering life-threatening falls or experiencing fainting. HAR (Human Activity Recognition) model using machine learning techniques play an important role in observing the activities of the people. The existing methods of activity monitoring lacks accuracy. Hence… Show more
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