Visual-based fall detection techniques using geometrical approach
Falls are one of the major health hazards among the aging population aged 65 and above, which could potentially result in a significant hindrance to their independent living. With the advances of medical science in the last few decades, the aging population increases every year and henceforth in h...
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my-mmu-ep.57562014-09-29T08:40:21Z Visual-based fall detection techniques using geometrical approach 2013-11 Chua, Jia Luen TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Falls are one of the major health hazards among the aging population aged 65 and above, which could potentially result in a significant hindrance to their independent living. With the advances of medical science in the last few decades, the aging population increases every year and henceforth in home fall detection system is increasingly important. Fall detection systems that have been commercialized so far are mostly worn-sensor based which are basically electronic devices whereby the elderly need to wear them. Nevertheless, these wearable fall detectors have a few drawbacks. The recent advancements in computer vision technology have brought together a new solution to overcome these drawbacks. 2013-11 Thesis http://shdl.mmu.edu.my/5756/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering |
| institution |
Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television |
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TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Chua, Jia Luen Visual-based fall detection techniques using geometrical approach |
| description |
Falls are one of the major health hazards among the aging population aged 65
and above, which could potentially result in a significant hindrance to their independent living. With the advances of medical science in the last few decades, the aging population increases every year and henceforth in home fall detection system is increasingly important. Fall detection systems that have been commercialized so far are mostly worn-sensor based which are basically electronic devices whereby the elderly need to wear them. Nevertheless, these wearable fall detectors have a few drawbacks. The recent advancements in computer vision technology have brought together a new solution to overcome these drawbacks. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Chua, Jia Luen |
| author_facet |
Chua, Jia Luen |
| author_sort |
Chua, Jia Luen |
| title |
Visual-based fall detection techniques using geometrical approach |
| title_short |
Visual-based fall detection techniques using geometrical approach |
| title_full |
Visual-based fall detection techniques using geometrical approach |
| title_fullStr |
Visual-based fall detection techniques using geometrical approach |
| title_full_unstemmed |
Visual-based fall detection techniques using geometrical approach |
| title_sort |
visual-based fall detection techniques using geometrical approach |
| granting_institution |
Multimedia University |
| granting_department |
Faculty of Engineering |
| publishDate |
2013 |
| _version_ |
1747829587025330176 |