Search results for "Heart rate measurement"

showing 2 items of 2 documents

Effect of Motion Artifact on Digital Camera Based Heart Rate Measurement

2017

International audience; Depression is one of the most prevalent mental disorders, burdening many people world-wide. A system with the potential of serving as a decision support system is proposed, based on novel features extracted from facial expression geometry and speech, by interpreting non-verbal manifestations of depression. The proposed system has been tested both in gender independent and gender based modes, and with different fusion methods. The algorithms were evaluated for several combinations of parameters and classification schemes, on the dataset provided by the Audio/Visual Emotion Challenge of 2013 and 2014. The proposed framework achieved a precision of 94.8% for detecting p…

Engineeringbusiness.product_category[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingRemote patient monitoringMotion artifact effect02 engineering and technology01 natural sciencesMotion (physics)Field (computer science)Photoplethysmography signalComputer vision[ SDV.IB ] Life Sciences [q-bio]/Bioengineering[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingDigital cameraSkinPatient monitoringDigital cameraremote health monitoringCamerasBiomedical technologyHeart rate measurement[SDV.IB]Life Sciences [q-bio]/BioengineeringArtifactsAlgorithms[ INFO ] Computer Science [cs]0206 medical engineeringHeart rateCardiology[INFO] Computer Science [cs]010309 opticsMotionDatabases0103 physical sciences[INFO]Computer Science [cs]Heart rate measurement methodPhotoplethysmographyBiomedical measurementLighting[SDV.IB] Life Sciences [q-bio]/BioengineeringArtifact (error)Digital camerasMAHNOB-HCI databasebusiness.industry020601 biomedical engineeringMotion artifacts[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/ImagingFace (geometry)FaceState (computer science)Artificial intelligencebusiness
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Optimal Source Selection for Image Photoplethysmography

2016

International audience; This paper presents an optimal selection on the region of interest (ROI) and color spaces to extract photoplethysmography signals from facial videos. The study is carried out under two sections; ROI selection and color space selection. We compared five different ROI selection for different regions of the face. We also investigated three color spectrums namely additive, perceptual and orthogonal color spaces. The study experimented on the publicly available human-computer interaction (HCI) database. When evaluated on 30 subjects, the results showed that the ROI selection on the forehead and the green spectrum of the additive color space to provides higher accuracy for…

[SPI]Engineering Sciences [physics][SPI] Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]non-contact heart rate measurementNoncontactPhotoplethysmography[SPI.TRON] Engineering Sciences [physics]/ElectronicsHeart rate variability[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics
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