心率與呼吸被視為重要的生理參數，有研究指出靜態心率大於 90 bpm (beats per minute)或是心臟有不正常跳動的情況都容易導致一些心臟疾病。而呼吸中止症、呼吸道阻塞或是嬰兒猝死等症狀都與呼吸有著密切關係。對於受試者而言，進行多項的生理參數監控有利於對其進行及時且有效的治療處理。而錯誤的臥躺姿勢容易造成身體器官的損害或導致呼吸不順暢。
在過去，大多數的生理參數都是透過接觸式量測裝置還進行量測，這些電極貼片或是綁帶容易導致皮膚過敏或是不舒服現象。相反的，非接觸式量測方式具有高舒適性、能夠長時間監控等優點，因此適合應用在長期臥床之病人、嬰幼兒或老年人等。
然而目前的研究大多都只探討正躺情況下的生理參數監控，鮮少針對於不同床上姿態下的生理監控。因此本論文利用攝影機與嵌入式平台建構出一套適用於不同床上姿態下的生理參數監控系統。透過攝影機的拍攝，推算出受試者在不同床上姿勢下的脈搏訊號、呼吸訊號、翻身動作及床上姿態。
經過模擬真實情況下的床邊即時監控證實，受試者在無蓋被的實驗中，其脈搏量測準確度為96.40%、呼吸量測準確度為95.16%、翻身偵測準確度為95.75%、床上姿態辨識準確度為 96.00%。而在有蓋被的實驗中，其脈搏量測準確度為97.19%、呼吸量測準確度為 93.30%、翻身偵測準確度為 91.25%、床上姿態辨識準確度為 83.13%。實驗結果顯示，本論文利用攝影機與嵌入式平台建構出一套基於攝影機之可用於健康照護的非接觸式生理與活動監控系統，能夠在真實環境下量測出蓋被與無蓋被情況下的多種姿態生理參數。

Pulse rate and breathing rate are considered important vital signs. Some studies
have shown that a rest heart rate faster than 90 bpm (beats per minute) or abnormal
heartbeat will easily lead to some heart disease. Sleep apnea, airway obstruction, or sudden infant death are closely related to breathing behavior. For the subject, multiple vital signs monitoring facilitates timely and effective treatment. Moreover, a wrong on bed position will easily cause damage to body organs or airway obstruction.
In the past, most of the vital signs were measured through contact measuring
equipment. These electrode patches or straps were prone to skin irritation or discomfort. On the contrary, the non-contact measuring equipment has high comfort and long-term monitoring, so it’s suitable for patients, infants or the elderly.
However, most researches only discussed the vital signs monitoring under the
condition of supine, rarely focuses on different on bed positions. Therefore, we try to construct vital signs and on bed position monitoring system based on a camera and an embedded platform which can suitable for different kinds of bed positions.
Experiments perform the accuracy of the pulse signal, breathing signal, roll-over
situation and on-bed position are 96.40%, 95.16%, 95.75% and 96.00% without
covering quilt. In the case of covering with quilt are 97.19%, 93.30%, 91.25% and
83.13%. The experimental results convey that this thesis successfully construct a non contact vital signs and activity monitoring system that can be used for health care based on a camera and an embedded system, which can be able to measure vital signs with difference on bed position in the case of covering quilt and covering without quilt in a reality environment.

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