在醫院中，老人照護在現今高齡化社會中是極為重要的問題，其中跌倒偵測扮演著重要的角色。當老年人在廁所跌倒時，若未立即通知醫護人員，則會使跌倒造成的傷害無法得到即時的救治。本論文提出一種植基於系統單晶片(System on Chip-based)之影像(只當信號感測用，並無實際的影像產生)跌倒偵測方法，利用晶片有限的效能進行準確的跌倒判斷，並針對開關門時光線變化使影像發生急遽變化，導致跌倒判斷發生錯誤之問題，本論文主要貢獻是提出一個有效的方法來解決光線變化的影響，使得所提出的跌倒偵測系統更為強健。

In hospitals, elderly care is an extremely important issue in today’s aging society. Fall detection plays an important role. When elderly people fall in the bathroom, if the fall haven’t been notified promptly, the injuries caused by the fall will not be immediately treated. This thesis proposes a Vision and System on chip (SoC)–based (only for signal sensing and no actual image generation) fall detection method, using the limited resources of the SoC to make accurate fall detection. The main contribution of this thesis is to propose an effective method to solve the influence of light changes and make the proposed fall detection system more robust.

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