Projects per year
Abstract
In this paper we present a method of modulating the context of data captured in smart homes. We show that we can dramatically adapt their sensor network topology and that this approach can be used to help understand various aspects of such sensor environments. We demonstrate how, with our software, we can discover the importance of individual sensors, clusters of sensors and sensor categories for resident identification and activity recognition. Finally, we validate the utility of context modulation in a number of experimental scenarios that show how the activity recognition is a ected by each sensor topology elicited by these scenarios.
| Original language | English |
|---|---|
| Number of pages | 16 |
| Publication status | Published - 2014 |
| Event | European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014 - Nancy, France Duration: 15 Sep 2014 → 19 Sep 2014 |
Conference
| Conference | European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014 |
|---|---|
| Country/Territory | France |
| City | Nancy |
| Period | 15/09/14 → 19/09/14 |
Structured keywords
- Jean Golding
- SPHERE
Fingerprint
Dive into the research topics of 'Context modulation of Sensor Data Applied to Activity Recognition in Smart Homes'. Together they form a unique fingerprint.Projects
- 1 Finished
-
SPHERE (EPSRC IRC)
Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Damen, D., Gooberman-Hill, R., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.
1/10/13 → 30/09/18
Project: Research, Parent