Remote Safety Monitoring for Elderly Persons Based on Omni-Vision Analysis
| Autor: | Xu-yuan Tian, Jiang Jun, Yi-ping Tang, Yun Xiang, Ma Baoqing, Yan Hangchen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Service (systems architecture)
Activities of daily living media_common.quotation_subject lcsh:Medicine Monitoring Ambulatory Bioinformatics Motion (physics) Elderly persons Human–computer interaction Perception Health care Activities of Daily Living Medicine Humans lcsh:Science Safety monitoring media_common Aged Multidisciplinary business.industry lcsh:R food and beverages Video tracking lcsh:Q business Algorithms Research Article |
| Zdroj: | PLoS ONE PLoS ONE, Vol 10, Iss 5, p e0124068 (2015) |
| ISSN: | 1932-6203 |
| Popis: | Remote monitoring service for elderly persons is important as the aged populations in most developed countries continue growing. To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automatically. In this work, we have made the following contributions: (1) we develop a remote safety monitoring system which can provide real-time and automatic health care for the elderly persons and (2) we design a novel motion history or energy images based algorithm for motion object tracking. Our system can accurately and efficiently collect, analyze, and transfer elderly activity information and provide health care in real-time. Experimental results show that our technique can improve the data analysis efficiency by 58.5% for object tracking. Moreover, for the human posture recognition application, the success rate can reach 98.6% on average. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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