TY - JOUR
T1 - Contactless approach for heart rate estimation for QoE assessment
AU - Bonomi, Mattia
AU - Battisti, Federica
AU - Boato, Giulia
AU - Barreda-Ángeles, Miguel
AU - Carli, M.
AU - Le Callet, Patrick
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Quality of Experience of multimedia content is investigated to understand the overall acceptability of the content as perceived by the end user. Recent perspectives stress the need to focus not only on perceptual aspects of the content but also on the interaction between perception and cognitive–emotional aspects. Our contribution lies on this direction by presenting a contactless approach to estimate heart rate variability by evaluating face skin color variations in a video sequence. The proposed framework allows to analyze long video sequences depicting a subject and it is robust with respect to small movements and illumination changes. The system is validated on a dataset of 64 sequences where users observe 3D movies selected to induce heart rate variations.
AB - Quality of Experience of multimedia content is investigated to understand the overall acceptability of the content as perceived by the end user. Recent perspectives stress the need to focus not only on perceptual aspects of the content but also on the interaction between perception and cognitive–emotional aspects. Our contribution lies on this direction by presenting a contactless approach to estimate heart rate variability by evaluating face skin color variations in a video sequence. The proposed framework allows to analyze long video sequences depicting a subject and it is robust with respect to small movements and illumination changes. The system is validated on a dataset of 64 sequences where users observe 3D movies selected to induce heart rate variations.
KW - 3D video
KW - Heart rate estimation
KW - Heart rate variability
KW - Quality of experience
UR - http://www.scopus.com/inward/record.url?scp=85069590397&partnerID=8YFLogxK
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U2 - 10.1016/j.image.2019.07.004
DO - 10.1016/j.image.2019.07.004
M3 - Article
AN - SCOPUS:85069590397
VL - 78
SP - 223
EP - 235
JO - Signal Processing: Image Communication
JF - Signal Processing: Image Communication
SN - 0923-5965
ER -