Research and Development on the Fall-down Warning Mechanism in Smart Living Space

• Main Authors: Ming-Hsiang Hsu, 許銘翔
• Other Authors: Chau-Shioung Yeh
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/74083896495791091270

碩士 === 國立臺灣大學 === 應用力學研究所 === 96 === The main thrust of this thesis is to develop a two stage fall-down warning mechanism for the elders. A real-time fall-detection device worn on the waist was used to detect possible falls on the first stage. A moving robot with vision capability was adopted to interact with elders in daily life, and when the fall-detection device detects a possible fall-down event, the robot immediately changes its state to the falling confirmation state in order to confirm the fall event. At the second stage, the family members can remote operate the robot and with the visual identification mechanism to confirm the elders fall-down situation and find out the exact position of the falling. Taking this approach, family members can personally determine the best way to help the elders. For example, the family member can decide to go back to help the elder, call for the emergency center, or provide other telecare services. Building this fall-down warning mechanism in the smart living space can provide humanistic homecare of the elderly and hopefully can reduce the cost of long-term healthcare of the elders under the theme of the worldwide aging population trend.