Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home

Long-Hao Yang; Yi-Xuan Lu; Peng-Peng Huang; Fei-Fei Ye; Hai-Dong Wu; Jun Liu

doi:10.1109/iske60036.2023.10481264

Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home

Long-Hao Yang, Yi-Xuan Lu, Peng-Peng Huang, Fei-Fei Ye, Hai-Dong Wu, Jun Liu

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

Abstract

With the aging of the population gradually serious in recent years, the research of multi-resident activity recognition in smart home has been paid much attention. For this reason, an advanced rule-based expert system, called cumulative belief rule-based expert system, is introduced to develop a novel multi-resident activity recognition model, which not only makes full use of the multiple labels of residents' activities, but also can overcome the problem of excessive data collected from smart home. In the case study, the experimental study shows that the proposed model is more efficient and accurate than the traditional machine learning models and the commonly used activity recognition model for achieving multi-resident activity recognition.

Original language	English
Title of host publication	2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
Publisher	IEEE
ISBN (Electronic)	979-8-3503-1840-1, 979-8-3503-1839-5
ISBN (Print)	979-8-3503-1841-8
DOIs	https://doi.org/10.1109/iske60036.2023.10481264
Publication status	Published (in print/issue) - 17 Nov 2023
Event	18th International Conference on Intelligent Systems and Knowledge Engineering - Fuzhou, China Duration: 17 Nov 2023 → 19 Nov 2023 Conference number: 18 http://www.iske2023.com

Conference

Conference	18th International Conference on Intelligent Systems and Knowledge Engineering
Abbreviated title	ISKE 2023
Country/Territory	China
City	Fuzhou
Period	17/11/23 → 19/11/23
Internet address	http://www.iske2023.com

Keywords

Sociology
Smart homes
Machine learning
Activity recognition
Aging
Predictive models
Safety

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/iske60036.2023.10481264

Cite this

@inproceedings{e85a13383baa438f89875ae6e349cfd6,

title = "Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home",

abstract = "With the aging of the population gradually serious in recent years, the research of multi-resident activity recognition in smart home has been paid much attention. For this reason, an advanced rule-based expert system, called cumulative belief rule-based expert system, is introduced to develop a novel multi-resident activity recognition model, which not only makes full use of the multiple labels of residents' activities, but also can overcome the problem of excessive data collected from smart home. In the case study, the experimental study shows that the proposed model is more efficient and accurate than the traditional machine learning models and the commonly used activity recognition model for achieving multi-resident activity recognition.",

keywords = "Sociology, Smart homes, Machine learning, Activity recognition, Aging, Predictive models, Safety",

author = "Long-Hao Yang and Yi-Xuan Lu and Peng-Peng Huang and Fei-Fei Ye and Hai-Dong Wu and Jun Liu",

year = "2023",

month = nov,

day = "17",

doi = "10.1109/iske60036.2023.10481264",

language = "English",

isbn = "979-8-3503-1841-8",

booktitle = "2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)",

publisher = "IEEE",

address = "United States",

note = "18th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2023 ; Conference date: 17-11-2023 Through 19-11-2023",

url = "http://www.iske2023.com",

}

Yang, L-H, Lu, Y-X, Huang, P-P, Ye, F-F, Wu, H-D & Liu, J 2023, Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home. in 2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE, 18th International Conference on Intelligent Systems and Knowledge Engineering, Fuzhou, China, 17/11/23. https://doi.org/10.1109/iske60036.2023.10481264

TY - GEN

T1 - Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home

AU - Yang, Long-Hao

AU - Lu, Yi-Xuan

AU - Huang, Peng-Peng

AU - Ye, Fei-Fei

AU - Wu, Hai-Dong

AU - Liu, Jun

N1 - Conference code: 18

PY - 2023/11/17

Y1 - 2023/11/17

N2 - With the aging of the population gradually serious in recent years, the research of multi-resident activity recognition in smart home has been paid much attention. For this reason, an advanced rule-based expert system, called cumulative belief rule-based expert system, is introduced to develop a novel multi-resident activity recognition model, which not only makes full use of the multiple labels of residents' activities, but also can overcome the problem of excessive data collected from smart home. In the case study, the experimental study shows that the proposed model is more efficient and accurate than the traditional machine learning models and the commonly used activity recognition model for achieving multi-resident activity recognition.

AB - With the aging of the population gradually serious in recent years, the research of multi-resident activity recognition in smart home has been paid much attention. For this reason, an advanced rule-based expert system, called cumulative belief rule-based expert system, is introduced to develop a novel multi-resident activity recognition model, which not only makes full use of the multiple labels of residents' activities, but also can overcome the problem of excessive data collected from smart home. In the case study, the experimental study shows that the proposed model is more efficient and accurate than the traditional machine learning models and the commonly used activity recognition model for achieving multi-resident activity recognition.

KW - Sociology

KW - Smart homes

KW - Machine learning

KW - Activity recognition

KW - Aging

KW - Predictive models

KW - Safety

U2 - 10.1109/iske60036.2023.10481264

DO - 10.1109/iske60036.2023.10481264

M3 - Conference contribution

SN - 979-8-3503-1841-8

BT - 2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

PB - IEEE

T2 - 18th International Conference on Intelligent Systems and Knowledge Engineering

Y2 - 17 November 2023 through 19 November 2023

ER -

Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home

Abstract

Conference

Keywords

UN SDGs

Access to Document

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Cite this