Online Respiratory Signal Detection based on Color Video
Date Issued
2014
Date
2014
Author(s)
Hsu, Po-Hsiang
Abstract
In this study, we propose an online low cost, non-contact respiratory signal extraction method using widely used RGB camera by measuring the subtle variations of green channel intensity from users’ face image sequence during heart pulse. Since heart rate may increase or decrease with users’ inhalation or exhalation, the respiratory signal can then be obtained from sequence of heart beats intervals after applying some filters. Besides, the evaluation of tidiness also proposed and used to observe the stability of signal. With head movement or light adjustment, tidiness will immediately decrease and easily to observe no matter in real-time or offline analysis.
In the experiment, we measure the similarity of our result and respiration sensor signal in different conditions such as light source, background, distance from webcam and combination of channels. We also measure the highest similarity we can achieve in following sections and found that our result is more similar to respiration sensor signal for subjects with higher tidiness. In the application, this method can be used to guide users’ breaths like a commercial device-StressEraser to not only relieve stress but also increase heart rate variability through daily practices and detect respiratory signal when users are sleeping, which can help doctors observe the symptom of sleep apnea.
The contribution of this study is a low cost, noncontact online respiratory signal detection method which can be used to guide users to its own resonant respiratory frequency, leading them to relax and increasing heart rate variability.
Subjects
即時
非接觸式
彩色網路攝影機
呼吸訊號
相似度
可靠度
Type
thesis
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