Building a Framework for Recognition of Activities of Daily Living from Depth Images using Fuzzy Logic

Tanvi Banerjee, James M. Keller, Marjorie Skubie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Complex activities such as instrumental activities of daily living (IADLs) can be identified by creating a hierarchical model of fuzzy rules. In this work, we present a framework to model a specific IADL – “making the bed”. For this activity recognition, the need for a three level Fuzzy Inference System (FIS) model is shown. Simple features such as bounding box parameters were extracted from the foreground images and combined with 3D features extracted from the Kinect depth data. This was then fed as input to the three layered FIS for further analysis. Data collected from several participants were tested and evaluated. Such a framework can be used to model several other IADLS as well as basic activities of daily living (ADLs). Analysis of ADLs can be used to compare daily patterns in older adults to measure changes in behavior. This can then be used to predict health changes to assist older adults in leading independent lifestyles for longer time periods.

Original languageAmerican English
Title of host publication2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
PublisherIEEE
Pages540-547
Number of pages8
ISBN (Electronic)978-1-4799-2072-3, 978-1-4799-2073-0
DOIs
StatePublished - Sep 8 2014
Event2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China
Duration: Jul 6 2014Jul 11 2014

Conference

Conference2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Country/TerritoryChina
CityBeijing
Period7/6/147/11/14

ASJC Scopus Subject Areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Keywords

  • Activities of Daily Living
  • Depth Image
  • Fuzzy Rules
  • Machine Learning

Disciplines

  • Bioinformatics
  • Communication Technology and New Media
  • Databases and Information Systems
  • OS and Networks
  • Science and Technology Studies

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