This article reviews the use of wearable sensors for the monitoring of physical activity (PA)
for different purposes, including assessment of gait and balance, prevention and/or …

Since industrial development and globalization of the world, fossil fuels remain a major
source of energy for almost all sectors of life. Fossil fuels, without doubt, play a vital role in …

Human emotions are strongly coupled with physical and mental health of any individual.
While emotions exbibit complex physiological and biological phenomenon, yet studies …

Existing accelerometer-based human activity recognition (HAR) benchmark datasets that
were recorded during free living suffer from non-fixed sensor placement, the usage of only …

An aging population is increasingly prevalent in both developed and develo** countries,
raising a series of social challenges and economic burdens. In particular, more elderly …

An integrated smart home system (ISHS) is an effective way to improve the quality of life of
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …

Physical activity is essential for physical and mental health, and its absence is highly
associated with severe health conditions and disorders. Therefore, tracking activities of daily …

Activity monitoring combined with machine learning (ML) methods can contribute to detailed
knowledge about daily physical behavior in older adults. The current study (1) evaluated the …

The objective of this study was to investigate the accuracy of a Deep Neural Network (DNN)
in recognizing activities typical for hospitalized patients. A data collection study was …

Abstract Machine based analysis and prediction systems are widely used for diagnosis of
Alzheimer's Disease (AD). However, lower accuracy of existing techniques and lack of post …