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

Jing Liao; Yaxin Bi; Chris D. Nugent

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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%.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Number of pages	2
Publication status	Published (in print/issue) - 2011
Event	Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on - Duration: 1 Jan 2011 → …

Conference

Conference	Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Period	1/01/11 → …

Keywords

Evidence Theory
Activity Recognition
Lattice-Based Reasoning Structure

Cite this

@inproceedings{ace9967a85184582bd08ec134f527d40,

title = "A Weight Factor Algorithm for Activity Recognition Utilizing a Lattice-Based Reasoning Structure",

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%.",

keywords = "Evidence Theory, Activity Recognition, Lattice-Based Reasoning Structure",

author = "Jing Liao and Yaxin Bi and Nugent, {Chris D.}",

year = "2011",

language = "English",

booktitle = "Unknown Host Publication",

publisher = "IEEE",

address = "United States",

note = "Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on ; Conference date: 01-01-2011",

}

TY - GEN

T1 - A Weight Factor Algorithm for Activity Recognition Utilizing a Lattice-Based Reasoning Structure

AU - Liao, Jing

AU - Bi, Yaxin

AU - Nugent, Chris D.

PY - 2011

Y1 - 2011

N2 - 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%.

AB - 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%.

KW - Evidence Theory

KW - Activity Recognition

KW - Lattice-Based Reasoning Structure

M3 - Conference contribution

BT - Unknown Host Publication

PB - IEEE

T2 - Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on

Y2 - 1 January 2011

ER -

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

Abstract

Conference

Keywords

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Cite this