Future Technology For E Health Systems

1372 Words Oct 5th, 2015 6 Pages
Abstract
Lot of research has been done on Human Activity Recognition(HAR) in the last decade and HAR is expected to be future technology for e-health systems. Here, I discuss various models built using SAS® Enterprise Miner™ 14.1, on a free public domain dataset containing165,633 observations and 19 attributes and compare each model with another. Data used in this discussion, represents the metrics of accelerometers mounted on waist, left thigh, right arm and right ankle of 4 individuals performing five different activities recorded over a period of eight hours. Finally, I propose a Stepwise Logistic-fed-AutoNeural model to recognize human activity. The accuracy of the model is 98.73%
Introduction
The advances in medical care and rise in living standards have increased life expectancy to 79 years in US, in 2015. As per US Census Bureau," In 2050, the population aged 65 and over is projected to be 83.7 million, almost double its estimated population of 43.1 million in 2012 "[3]. Due to these facts, the demand for development of technologies to aid elderly people has increased more than ever. But developing new technologies that enable elderly and the chronically ill to lead a more independent and safer life has become a difficult task. It is possible to achieve this arduous task through Ambient-assisted living (AAL) technologies that help elderly people to live more independently. Research on HAR has been active for more than a decade and HAR is considered to be future…
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