0000000000300099

AUTHOR

Peixi Li

showing 3 related works from this author

Remote heart rate variability for emotional state monitoring

2018

International audience; Several researches have been conducted to recognize emotions using various modalities such as facial expressions , gestures, speech or physiological signals. Among all these modalities, physiological signals are especially interesting because they are mainly controlled by the autonomic nervous system. It has been shown for example that there is an undeniable relationship between emotional state and Heart Rate Variability (HRV). In this paper, we present a methodology to monitor emotional state from physiological signals acquired remotely. The method is based on a remote photoplethysmography (rPPG) algorithm that estimates remote Heart Rate Variability (rHRV) using a …

Facial expressionModalities[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceSpeech recognition020208 electrical & electronic engineering0206 medical engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020601 biomedical engineeringSignal[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingFeature (computer vision)Frequency domainPhotoplethysmogram0202 electrical engineering electronic engineering information engineeringHeart rate variabilityGesture
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Comparison of region of interest segmentation methods for video-based heart rate measurements

2018

International audience; Conventional contact photoplethysmography (PPG) sensors are not suitable in situations of skin damage or when unconstrained movement is required. As a consequence, remote photoplethysmography (rPPG) has recently emerged because it provides remote physiological measurements without expensive hardware and improves comfort for long-term monitoring. RPPG estimation methods use the spatially averaged RGB values of pixels in a Region Of Interest (ROI) to generate a temporal RGB signal. The selection of ROI is a critical first step to obtain reliable pulse signals and must contain as many skin pixels as possible with a low percentage of non-skin pixels. In this paper, we ex…

Heart Rate (HR)Computer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing0206 medical engineering02 engineering and technology01 natural sciencesSignal[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingRegion of interestPhotoplethysmogramSegmentationComputer visionVideo basedPixelbusiness.industryremote photoplethysmography (rPPG)010401 analytical chemistryPerspective (graphical)[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Region of Interest (ROI)020601 biomedical engineering0104 chemical sciencesRGB color modelArtificial intelligencebusiness
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Pulse rate variability measurement with camera-based photoplethysmography

2021

Electrocardiogram (ECG) has been used by doctors and biomedical researchers to measure cardiac parameters such as Heart Rate (HR) and Heart Rate Variability (HRV). HR is a medical index for health monitoring and the HRV is a sign to reflect the activities of Autonomic Nervous System (ANS) and can be used for emotion recognition applications. Recently, remote photoplethysmography (rPPG) has evolved as a non-contact technique for measuring vital cardiac signs. Compared with ECG, this technique is non-invasive, low-cost, comfortable and possibly utilized in long-term monitoring. It has great potential in remote health assessment and emotion detection. However, the rPPG is a video-based method,…

Cardiac varaibilioty[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Photoplethysmographie (PPG)Video content analysis[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Variabilité cardiaquePhotoplethysmography (PPG)Analyse de contenu vidéo
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