Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 103 === Statistics shows that inpatients or residents of long-term care facilities may fall from daily activities. Most of these falls are associated with identifiable risk factors (e.g. weakness, unsteady gait, medications use and environment). Fall accidents can...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/z649jp |