Rf-Arp: Rfid-based activity recognition and prediction in smart home

Yegang Du, Yuto Lim, Yasuo Tan

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

4 Citations (Scopus)

Abstract

Smart Home is generally considered to be the final solution for human living problem, especially for health care of the elderly and disabled, power saving, etc. Human activity recognition in smart home is the key to achieve home automation, which enables smart services automatically run according to human mind. Recent researches have made several progresses in this field, however most of them can only recognize default activities which is probably not needed by smart home services. In addition, low scalability makes such researches infeasible out of laboratory. In this work, we unwrap this issue and propose a novel framework to not only recognize human activity, but also predict it. The framework contains three stages: recognition after the activity; recognition in progress and activity prediction in advance. With the help of RFID tags, the hardware cost of our framework is low enough to popularize. And the experiment result shows that our framework can realize good performance in activity recognition and prediction with high scalability.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 25th International Conference on Parallel and Distributed Systems, ICPADS 2019
PublisherIEEE Computer Society
Pages618-624
Number of pages7
ISBN (Electronic)9781728125831
DOIs
Publication statusPublished - 2019 Dec
Externally publishedYes
Event25th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2019 - Tianjin, China
Duration: 2019 Dec 42019 Dec 6

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2019-December
ISSN (Print)1521-9097

Conference

Conference25th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2019
Country/TerritoryChina
CityTianjin
Period19/12/419/12/6

Keywords

  • Activity Prediction
  • Human Activity Recognition
  • Object Usage Sensing
  • RFID
  • Smart Home

ASJC Scopus subject areas

  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'Rf-Arp: Rfid-based activity recognition and prediction in smart home'. Together they form a unique fingerprint.

Cite this