Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

Topic modeling techniques have been primarily being used to mine the topics from text
corpora. These techniques reveal the hidden thematic structure in a collection of documents …

A fundamental task in pervasive computing is reliable acquisition of contexts from sensor
data. This is crucial to the operation of smart pervasive systems and services so that they …

Healthcare systems worldwide are facing growing demands on their resources due to an
ageing population and increase in prevalence of chronic diseases. Innovative residential …

Topic Modeling refers to a suit of algorithms that gives us an insight of the 'latent'semantic
topics or themes in a collection of documents. This survey provides a brief classification of …

The treatment of health emergencies involves several quantifiable processes. In this context,
this article proposes a quantitative methodological tool that seeks to determine the best …

The use of wearable ECG recorders is becoming common nowadays for the people
suffering from cardiac disorders. Although it is a convenient option for hospitalization, it has …

Understanding user contexts and group structures plays a central role in pervasive
computing. These contexts and community structures are complex to mine from data …

In this era of stress-filled life styles and cut-throat competitions, cardiovascular diseases and
heart abnormalities are becoming common in the people of early age groups. In order to …

In this paper, the spectral characteristics of motion artifacts occurring in an ambulatory ECG
signal have been studied using principal component analysis (PCA). The PCA residual …