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Sensor-Based Activity Recognition

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Chen, Liming, Hoey, Jesse, Nugent, CD, Cook, Diane and Yu, Zhiwen (2012) Sensor-Based Activity Recognition. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Application and Reviews, 42 (6). pp. 790-808. [Journal article]

Full text not available from this repository.

DOI: 10.1109/TSMCC.2012.2198883

Abstract

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.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:24013
Deposited By:Dr Liming Chen
Deposited On:16 Nov 2012 10:44
Last Modified:16 Nov 2012 10:44

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