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- W2195048682 abstract "Abstract Multimodal emotion recognition is a challenging topic that aims at determining the affective state of a subject by combining audio-visual and physiological signals acquired in a naturalistic environment. This procedure can be used to monitor the emotional state of a subject affected by mental disorder or under medical treatment. Common attempts principally learn a unique complex machine learning system on descriptors collected from different subjects. The novel paradigm of single-subject multimodal regression model (SSMRM) that we propose in this study is embedded in a averaging-based merging strategy that aggregates the responses provided by each model during the test of a new subject. This new approach presents a flexible architecture able to continuously embed new models without global re-training." @default.
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- W2195048682 date "2015-01-01" @default.
- W2195048682 modified "2023-09-27" @default.
- W2195048682 title "Continuous Monitoring of Emotions by a Multimodal Cooperative Sensor System" @default.
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- W2195048682 doi "https://doi.org/10.1016/j.proeng.2015.08.716" @default.
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