結合人體形態及陰影排除技術的老人跌倒偵測

Elder Falling Detection Using Human Shape and Shadow Elimination Technique

王韋翔(Wei-Hsiang Wang)

指導教授 ： 王永鐘

國立臺北科技大學/電資學院/電機工程系研究所/碩士(2010年)

摘要

本論文結合人體形態(human shape)和陰影排除(shadow elimination)技術，研發具有強健性的老人跌倒偵測系統。由於老人居家環境的光線變化萬千，易產生影像的陰影，進而導致跌倒偵測演算法的誤判。因此本論文提出陰影排除方法以解決影子的問題，同時為了提高跌倒偵測的強健性，本論文根據人體形態的機制分析老人日常生活中的行為(站立、彎腰、蹲下、躺下)，並結合陰影排除方法進行特徵抽取，建立老人高度、距離、速度等數據資料庫，進而發展跌倒偵測演算法。

關鍵字

人體形態 ； 陰影排除 ； 特徵抽取 ； 跌倒偵測

並列摘要

This thesis implements the elderly fall detection which is based on human shape and shadow elimination technique. The human shape mechanism includes standing, bending, squatting and lying down postures. The shadow elimination technique solves judged mistakes caused by overlapping shadow generations in an inefficient light environment. Therefore, according to the human shape mechanism, the system analyzes the behavior of elderly activities in the daily life. Then, the shadow elimination technique can be together with the human shape mechanism for feature extractions in height, distance and speed parameters of data. Data results can accurately judge the posture and falling detection for elderly actions in the daily life.

並列關鍵字

Human shape ； Shadow elimination ； Feature extraction ； Falling detection

參考文獻

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