Comparative analysis on extended belief rule-based system for activity recognition

Long-Hao Yang; Jun Liu; Ying-Ming Wang; Luis Martinez

doi:10.1142/9789813273238_0056

Comparative analysis on extended belief rule-based system for activity recognition

Long-Hao Yang
, Jun Liu
, Ying-Ming Wang
, Luis Martinez

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

Abstract

One of eminent activity recognition approaches is based on the extended belief rule-based system (EBRBS), which shows an excellent robustness comparing with many traditional approaches. For this reason, three versions of EBRBSs, namely original EBRBS (O-EBRBS), DRA-EBRBS, and Micro-EBRBS, are adapted in the comparative analysis to illustrate the performance of these EBRBSs. Results demonstrate that the Micro-EBRBS can produce a satisfied accuracy under less time of inference scheme and fewer numbers of activated rules comparing to the O-EBRBS and DRA-EBRBS.

Original language	English
Title of host publication	Proceedings of the 13th International FLINS Conference (FLINS 2018)
Editors	Jun Liu, Jie Lu, Yang Xu, Luis Martinez, Etienne E Kerre
Publisher	World Scientific Publishing
ISBN (Electronic)	9789813273245
ISBN (Print)	9789813273221
DOIs	https://doi.org/10.1142/9789813273238_0056
Publication status	Published (in print/issue) - 21 Aug 2018
Event	13th International Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018) - Belfast, Northern Ireland, UK, Belfast, United Kingdom Duration: 21 Aug 2018 → 24 Aug 2018

Conference

Conference	13th International Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018)
Abbreviated title	FLINS2018
Country/Territory	United Kingdom
City	Belfast
Period	21/08/18 → 24/08/18

Keywords

Extended belief rule-based system
activity recognition
comparative analysis

Access to Document

10.1142/9789813273238_0056

Cite this

@inproceedings{3f655f6354a54da38c3a037377698d04,

title = "Comparative analysis on extended belief rule-based system for activity recognition",

abstract = "One of eminent activity recognition approaches is based on the extended belief rule-based system (EBRBS), which shows an excellent robustness comparing with many traditional approaches. For this reason, three versions of EBRBSs, namely original EBRBS (O-EBRBS), DRA-EBRBS, and Micro-EBRBS, are adapted in the comparative analysis to illustrate the performance of these EBRBSs. Results demonstrate that the Micro-EBRBS can produce a satisfied accuracy under less time of inference scheme and fewer numbers of activated rules comparing to the O-EBRBS and DRA-EBRBS.",

keywords = "Extended belief rule-based system, activity recognition, comparative analysis",

author = "Long-Hao Yang and Jun Liu and Ying-Ming Wang and Luis Martinez",

year = "2018",

month = aug,

day = "21",

doi = "10.1142/9789813273238\_0056",

language = "English",

isbn = "9789813273221",

editor = "Jun Liu and Jie Lu and Yang Xu and Luis Martinez and Kerre, \{Etienne E\}",

booktitle = "Proceedings of the 13th International FLINS Conference (FLINS 2018)",

publisher = "World Scientific Publishing",

address = "Singapore",

note = "13th International Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), FLINS2018 ; Conference date: 21-08-2018 Through 24-08-2018",

}

Yang, L-H, Liu, J, Wang, Y-M & Martinez, L 2018, Comparative analysis on extended belief rule-based system for activity recognition. in J Liu, J Lu, Y Xu, L Martinez & EE Kerre (eds), Proceedings of the 13th International FLINS Conference (FLINS 2018). World Scientific Publishing, 13th International Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), Belfast, United Kingdom, 21/08/18. https://doi.org/10.1142/9789813273238_0056

Comparative analysis on extended belief rule-based system for activity recognition. / Yang, Long-Hao; Liu, Jun; Wang, Ying-Ming et al.
Proceedings of the 13th International FLINS Conference (FLINS 2018). ed. / Jun Liu; Jie Lu; Yang Xu; Luis Martinez; Etienne E Kerre. World Scientific Publishing, 2018.

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

TY - GEN

T1 - Comparative analysis on extended belief rule-based system for activity recognition

AU - Yang, Long-Hao

AU - Liu, Jun

AU - Wang, Ying-Ming

AU - Martinez, Luis

PY - 2018/8/21

Y1 - 2018/8/21

N2 - One of eminent activity recognition approaches is based on the extended belief rule-based system (EBRBS), which shows an excellent robustness comparing with many traditional approaches. For this reason, three versions of EBRBSs, namely original EBRBS (O-EBRBS), DRA-EBRBS, and Micro-EBRBS, are adapted in the comparative analysis to illustrate the performance of these EBRBSs. Results demonstrate that the Micro-EBRBS can produce a satisfied accuracy under less time of inference scheme and fewer numbers of activated rules comparing to the O-EBRBS and DRA-EBRBS.

AB - One of eminent activity recognition approaches is based on the extended belief rule-based system (EBRBS), which shows an excellent robustness comparing with many traditional approaches. For this reason, three versions of EBRBSs, namely original EBRBS (O-EBRBS), DRA-EBRBS, and Micro-EBRBS, are adapted in the comparative analysis to illustrate the performance of these EBRBSs. Results demonstrate that the Micro-EBRBS can produce a satisfied accuracy under less time of inference scheme and fewer numbers of activated rules comparing to the O-EBRBS and DRA-EBRBS.

KW - Extended belief rule-based system

KW - activity recognition

KW - comparative analysis

U2 - 10.1142/9789813273238_0056

DO - 10.1142/9789813273238_0056

M3 - Conference contribution

SN - 9789813273221

BT - Proceedings of the 13th International FLINS Conference (FLINS 2018)

A2 - Liu, Jun

A2 - Lu, Jie

A2 - Xu, Yang

A2 - Martinez, Luis

A2 - Kerre, Etienne E

PB - World Scientific Publishing

T2 - 13th International Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018)

Y2 - 21 August 2018 through 24 August 2018

ER -

Comparative analysis on extended belief rule-based system for activity recognition

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Keywords

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