An Investigation and Application of Biology and Bioinformatics for Activity Recognition
Activity recognition in a smart home context is inherently difficult due to the variable nature of human activities and tracking artifacts introduced by video-based tracking systems. This thesis addresses the activity recognition problem via introducing a biologically-inspired chemotactic approach a...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Curtin University
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/514 |
| _version_ | 1848743400025620480 |
|---|---|
| author | Riedel, Daniel Erwin |
| author_facet | Riedel, Daniel Erwin |
| author_sort | Riedel, Daniel Erwin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Activity recognition in a smart home context is inherently difficult due to the variable nature of human activities and tracking artifacts introduced by video-based tracking systems. This thesis addresses the activity recognition problem via introducing a biologically-inspired chemotactic approach and bioinformatics-inspired sequence alignment techniques to recognise spatial activities. The approaches are demonstrated in real world conditions to improve robustness and recognise activities in the presence of innate activity variability and tracking noise. |
| first_indexed | 2025-11-14T05:44:58Z |
| format | Thesis |
| id | curtin-20.500.11937-514 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:44:58Z |
| publishDate | 2014 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-5142017-02-20T06:42:29Z An Investigation and Application of Biology and Bioinformatics for Activity Recognition Riedel, Daniel Erwin Activity recognition in a smart home context is inherently difficult due to the variable nature of human activities and tracking artifacts introduced by video-based tracking systems. This thesis addresses the activity recognition problem via introducing a biologically-inspired chemotactic approach and bioinformatics-inspired sequence alignment techniques to recognise spatial activities. The approaches are demonstrated in real world conditions to improve robustness and recognise activities in the presence of innate activity variability and tracking noise. 2014 Thesis http://hdl.handle.net/20.500.11937/514 en Curtin University fulltext |
| spellingShingle | Riedel, Daniel Erwin An Investigation and Application of Biology and Bioinformatics for Activity Recognition |
| title | An Investigation and Application of Biology and Bioinformatics for Activity Recognition |
| title_full | An Investigation and Application of Biology and Bioinformatics for Activity Recognition |
| title_fullStr | An Investigation and Application of Biology and Bioinformatics for Activity Recognition |
| title_full_unstemmed | An Investigation and Application of Biology and Bioinformatics for Activity Recognition |
| title_short | An Investigation and Application of Biology and Bioinformatics for Activity Recognition |
| title_sort | investigation and application of biology and bioinformatics for activity recognition |
| url | http://hdl.handle.net/20.500.11937/514 |