Paper Title
Latest Trends in Human Activity Recognition and Behavioral Analysis using Different Types of Sensors
Abstract
Human behavioral analysis (HBA) is an active area of research centered on analyzing the principles of physical and
psychological human behavior. Activity recognition using sensors is already implemented through wearable devices and
smartphones, while many studies are being carried out to further improve and strengthen the accuracy and precision of data
gathered from different type of sensors. One of the biggest potential large-scale implementations of HBA could be more
self-adaptive smart homes. The aim of this paper is to summarize 20 papers from the past 5 years (2013-2018). These papers
used a spectrum of sensors to further improve human activity recognition (HAR) performance, while some try to bridge the
gap between physical and psychological recognition (HBA). Results demonstrated that the smartphone is the most used device
for the potential increase in the accuracy of behavior classifications. Additionally, accelerometers and gyro-scopes are the most
common choice of sensors for tracking human activities.
Index Terms - Human Activity Recognition, Human Behavioral Analysis, Emotion Recognition, Activity Sensors
Author - Fiza T. Mughal
Published : Volume-5,Issue-5 ( May, 2018 )
DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-12115
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Published on 2018-07-17 |
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