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akaturk Akademik ölçüm

OpenAlex konusu

Emotion and Mood Recognition

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 936 eser 83 yazar konusu

Çalışmalar

936 eser

  1. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.9%

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  2. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.9%

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  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

    The negative effects of mental stress on human health has been known for decades. High-level stress must be detected at early stages to prevent these negative effects. After the emergence of wearable devices that could be part of our lives, researchers have started detecting extreme stress of individuals with them dur…

  4. YÖKSİS SJR Q1 JCR Q3 OpenAlex üst %1 OpenAlex 99.4%

    Most of the existing music recommendation systems use collaborative or content based recommendation engines. However, the music choice of a user is not only dependent to the historical preferences or music contents. But also dependent to the mood of that user. This paper proposes an emotion based music recommendation…

  5. SJR Q1 OpenAlex üst %1 OpenAlex 99.6%

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  6. OpenAlex üst %1 OpenAlex 99.3%

    Facial attribute analysis from facial images has always been a challenging task. Its practical use cases are very different. This paper mentioned how to build machine learning models with facial image data for age, gender, facial expression, and race/ethnicity prediction tasks. A fully coded open-source software frame…

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.4%

    In affective computing applications, access to labeled spontaneous affective data is essential for testing the designed algorithms under naturalistic and challenging conditions. Most databases available today are acted or do not contain audio data. We present a spontaneous audio-visual affective face database of affec…

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Depression is one of the most common psychiatric disorders worldwide, with over 350 million people affected. Current methods to screen for and assess depression depend almost entirely on clinical interviews and self-report scales. While useful, such measures lack objective, systematic, and efficient ways of incorporat…

  9. YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %10 OpenAlex 98.4%

    Abstract Purpose The purpose of this paper is to propose a novel emotion recognition algorithm from multimodal physiological signals for emotion aware healthcare systems. In this work, physiological signals are collected from a respiratory belt (RB), photoplethysmography (PPG), and fingertip temperature (FTT) sensors.…

  10. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 98.3%

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  11. OpenAlex üst %10 OpenAlex 98.0%

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  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.4%

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Akademisyenler

83 akademisyen