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.
|Journal||IEEE Transactions on Systems, Man, and Cybernetics-Part C: Application and Reviews|
|Publication status||Published - Nov 2012|
Chen, L., Hoey, J., Nugent, CD., Cook, D., & Yu, Z. (2012). Sensor-Based Activity Recognition. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Application and Reviews, 42(6), 790-808. https://doi.org/10.1109/TSMCC.2012.2198883