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Activity Recognition Using Machine Learning in Smart Spaces

Name: Activity Recognition Using Machine Learning in Smart Spaces
Brand: LAP Lambert Academic Publishing
SKU: 9783330044968
Price: 1278 CZK
Availability: InStock

Activity Recognition in Smart Spaces

Autor: Vijay Menino Jesus Borges

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

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A huge societal need is felt to address the problem of the growing elderly population affected with...

Informace o knize

Autor

Vijay Menino Jesus Borges

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2017

Stránek

164

EAN

9783330044968

Enbook ID

16045139

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

262

Rozměry

150 x 220 x 10

Kompletní popis

A huge societal need is felt to address the problem of the growing elderly population affected with Alzheimer's disease. The proficiency with which such affected population do their Activities of Daily Living (ADL) a.k.a. Activity Recognition (AR), is of paramount importance to the medical fraternity for proper diagnosis, suggestions for treatment and necessary follow-up. AR is based on ambient sensors, which is an active research field with wide cross-domain applications. Over decades there has been a lot of research efforts made in Text Categorization Paradigm (TCP), using machine learning techniques. In this work, a novel model, called Activity Recognition - Text Categorization Paradigm (AR-TCP), is proposed to view the task of human Activity Recognition, as a special case of TCP. This work uses techniques from Bayesian theory, non-parametric classification and adapts set theoretic advances from fuzzy sets, rough sets, granular rough-fuzzy theory; with the sole aim to show the ease of extending the proposed AR-TCP model to include latest machine learning advances from the text categorization paradigm, to further the progress in the dynamic AR domain.

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Activity Recognition Using Machine Learning in Smart Spaces

Activity Recognition in Smart Spaces

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