Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data

Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan, Wan Zou

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

7 Citations (Scopus)

Abstract

Understanding and recognizing the activities performed by people is a fundamental research topic for a wide range of important applications such as fall detection of elderly people. In this paper, we present the technical details behind Freedom, a low-cost, unobtrusive system that supports independent living of the older people. The Freedom system interprets what a person is doing by leveraging machine learning algorithms and radio-frequency identification (RFID) technology. To deal with noisy, streaming, unstable RFID signals, we particularly develop a dictionary-based approach that can learn dictionaries for activities using an unsupervised sparse coding algorithm. Our approach achieves efficient and robust activity recognition via a more compact representation of the activities. Extensive experiments conducted in a real-life residential environment demonstrate that our proposed system offers a good overall performance (e.g., achieving over 96% accuracy in recognizing 23 activities) and has the potential to be further developed to support the independent living of elderly people.

Original languageEnglish
Title of host publicationProceedings - 15th IEEE International Conference on Data Mining
Subtitle of host publicationICDM 2015
EditorsCharu Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1087-1092
Number of pages6
ISBN (Electronic)9781467395038
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event15th IEEE International Conference on Data Mining, ICDM 2015 - Atlantic City, United States
Duration: 14 Nov 201517 Nov 2015

Publication series

NameIEEE International Conference on Data Mining
PublisherIEEE
ISSN (Print)1550-4786

Other

Other15th IEEE International Conference on Data Mining, ICDM 2015
CountryUnited States
CityAtlantic City
Period14/11/1517/11/15

Keywords

  • Activity recognition
  • Dictionary
  • Feature selection
  • RFID
  • Sensing data
  • Sparse coding

Fingerprint Dive into the research topics of 'Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data'. Together they form a unique fingerprint.

Cite this