Sensor-Based Activity Recognition

Liming Chen, Jesse Hoey, CD Nugent, Diane Cook, Zhiwen Yu

Research output: Contribution to journalArticlepeer-review

869 Citations (Scopus)


Research on sensor-based activity recognition has recently made significant progress and is attracting growing attention in a number of disciplines and application domains. However, there is a lack of high-level overview on this topic that can inform related communities of the research state of the art. In this paper we present a comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition. We first discuss the general rationale and distinctions of vision-based and sensor-based activity recognition. Then we review the major approaches and methods associated with sensor-based activity monitoring, modeling and recognition from which strengths and weaknesses of those approaches are highlighted. We make a primary distinction in this paper between data-driven and knowledge-driven approaches, and use this distinction to structure our survey. We also discuss some promising directions for future research.
Original languageEnglish
Pages (from-to)790-808
JournalIEEE Transactions on Systems, Man, and Cybernetics-Part C: Application and Reviews
Issue number6
Publication statusPublished (in print/issue) - Nov 2012


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