Research output per year
Research output per year
Przemysław R. Woznowski, Emma L. Tonkin*, Peter A. Flach
Research output: Contribution to journal › Article (Academic Journal) › peer-review
Ubiquitous eHealth systems based on sensor technologies are seen as key enablers in the effort to reduce the financial impact of an ageing society. At the heart of such systems sit activity recognition algorithms, which need sensor data to reason over, and a ground truth of adequate quality used for training and validation purposes. The large set up costs of such research projects and their complexity limit rapid developments in this area. Therefore, information sharing and reuse, especially in the context of collected datasets, is key in overcoming these barriers. One approach which facilitates this process by reducing ambiguity is the use of ontologies. This article presents a hierarchical ontology for activities of daily living (ADL), together with two use cases of ground truth acquisition in which this ontology has been successfully utilised. Requirements placed on the ontology by ongoing work are discussed.
Original language | English |
---|---|
Article number | 2361 |
Number of pages | 23 |
Journal | Sensors |
Volume | 18 |
Issue number | 7 |
Early online date | 18 Jul 2018 |
DOIs | |
Publication status | Published - Jul 2018 |
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
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
Woznowski, P. (Creator), Dr Rachel King, U. O. R. (Contributor) & Holley, A. (Data Manager), University of Bristol, 7 Mar 2016
DOI: 10.5523/bris.1234ym4ulx3r11i2z5b13g93n7, http://data.bris.ac.uk/data/dataset/1234ym4ulx3r11i2z5b13g93n7
Dataset