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A Weight Factor Algorithm for Activity Recognition Utilizing a Lattice-Based Reasoning Structure

Liao, Jing, Bi, Yaxin and Nugent, Chris D. (2011) A Weight Factor Algorithm for Activity Recognition Utilizing a Lattice-Based Reasoning Structure. In: Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on. IEEE Press. 2 pp. [Conference contribution]

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Abstract

This paper introduces a new weight factor method for lattice-based evidential fusion for the purposes of activity recognition within smart environments. In calculating the weight factor between the lattice layers, the uncertainty information derived from sensors along with the sensor context has been taken into consideration. According to the experimental results, the proposed weight factor method has the ability to effectively incorporate the uncertainty into the inference process, and subsequently infer complex activities such as a preparing lunch activity with an accuracy of 65.20%.

Item Type:Conference contribution (Paper)
Keywords:Evidence Theory, Activity Recognition, Lattice-Based Reasoning Structure
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:25477
Deposited By: Dr Yaxin Bi
Deposited On:20 Jan 2016 12:30
Last Modified:20 Jan 2016 12:30

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