A hierarchical rule-based activity recognition system with frequency pattern mining

Ji Yu Li, Po Cheng Huang, Yau Hwang Kuo, Kuan Rong Lee

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

1 Citation (Scopus)

Abstract

In this paper, a hierarchical system is proposed for generating personalization action and activity recognition rules. Multi-level decision rule mining approach in our system not only discovers personal habit of device using, but also finds personal pattern of devices operation manner. First, it processes non-sequential procedure, which mines user's historical action database for constructing rules to recognize actions. Second, it creates action sequence recognized by using action rules generated before. Sequential mining method is adopted to find out the most frequent sequential pattern which is seemed as personal habit of device operating manner. Finally, non-sequential rules and sequential patterns are checked to recognize user's activity. The system generates rules depending on user's habit rather than being specified by designer who only creates general rules. The simulation results reveal that the activity recognition accuracies with 10% and 20% noise interference are 87.33% and 83.33% respectively.

Original languageEnglish
Title of host publication2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Pages1554-1557
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009 - Kaohsiung, Taiwan
Duration: 2009 Dec 72009 Dec 9

Publication series

Name2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

Other

Other2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
CountryTaiwan
CityKaohsiung
Period09-12-0709-12-09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

Fingerprint Dive into the research topics of 'A hierarchical rule-based activity recognition system with frequency pattern mining'. Together they form a unique fingerprint.

Cite this