Visualitza per matèria "Mood"

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  • A robotic positive psychology coach to improve college students’ wellbeing
    Jeong, Sooyeon; Alghowinem, Sharifa; Aymerich Franch, Laura; Arias, Kika; Lapedriza, Agata; Picard, Rosalind; Park, Hae Won; Breazeal, Cynthia (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    A significant number of college students suffer from mental health issues that impact their physical, social, and occupational outcomes. Various scalable technologies have been proposed in order to mitigate the negative ...
  • Automatic Classification of musical mood by content-based analysis
    Laurier, Cyril François (Universitat Pompeu Fabra, 2011-11-21)
    In this work, we focus on automatically classifying music by mood. For this purpose, we propose computational models using information extracted from the audio signal. The foundations of such algorithms are based on ...
  • Becoming the maestro - A game to enhance curiosity for classical music
    Sarasúa Berodia, Álvaro; Melenhorst, Mark; Fernandez Julià, Carles, 1984-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Classical music is associated with a set of social and cognitive barriers that prevent potentially interested novice classical music listeners from attending concerts. The possible strategies to overcome these barriers and ...
  • A Content-based system for music recommendation and visualization of user preferences working on semantic notions
    Bogdanov, Dmitry; Haro Berois, Martín; Fuhrmann, Ferdinand; Xambó, Anna; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (Institute of Electrical and Electronics Engineers (IEEE), 2011)
    The amount of digital music has grown unprecedentedly during the last years and requires the development of effective methods for search and retrieval. In particular, contentbased preference elicitation for music recommendation ...
  • Enriched music representations with multiple cross-modal contrastive learning
    Ferraro, Andrés; Favory, Xavier; Drossos, Konstantinos; Kim, Yuntae; Bogdanov, Dmitry (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtain representations using various sources ...
  • From low-level to high-level: comparative study of music similarity
    Bogdanov, Dmitry; Serrà Julià, Joan; Wack, Nicolas; Herrera Boyer, Perfecto, 1964- (Institute of Electrical and Electronics Engineers (IEEE), 2009)
    Studying the ways to recommend music to a user is a central task within the music information research community. From a content-based point of view, this task can be regarded as obtaining a suitable distance measurement ...
  • Momentary mood response to natural outdoor environments in four European cities
    Kondo, Michelle C.; Triguero Mas, Margarita, 1985-; Donaire González, David; Seto, Edmund; Valentín, Antònia; Hurst, Gemma; Carrasco Turigas, Glòria; Masterson, Daniel; Ambros, Albert; Ellis, Naomi; Swart, Wim; Davis, Nora; Maas, Jolanda; Jerrett, Michael; Gidlow, Christopher J.; Nieuwenhuijsen, Mark J. (Elsevier, 2020)
    Exposure to natural outdoor environments (NOE) has been shown in population-level studies to reduce anxiety and psychological distress. This study investigated how exposure to one's everyday natural outdoor environments ...
  • Music emotion recognition: toward new, robust standards in personalized and context-sensitive applications
    Gómez Cañón, Juan Sebastián; Cano, Estefanía; Eerola, Tuomas; Herrera Boyer, Perfecto, 1964-; Hu, Xiao; Yang, Yi-Hsuan; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Emotion is one of the main reasons why people engage and interact with music [1] . Songs can express our inner feelings, produce goosebumps, bring us to tears, share an emotional state with a composer or performer, or ...
  • Patients with moderate to severe psoriasis associate with higher risk of depression and anxiety symptoms: results of a multivariate study of 300 spanish individuals with psoriasis
    Tribó Boixareu, María José; Turroja, Marta; Castaño Vinyals, Gemma; Bulbena Vilarrasa, Antonio; Ros, Elena; García-Martínez, Pablo; Tausk, Francisco; Sagristà, Marc; Pujol Vallverdú, Ramon Maria; Ferran Farrés, Marta; Gallardo Hernández, Fernando (Society for Publication of Acta Dermato-Venereologica, 2019)
    Psoriasis is a chronic skin disease associated with considerable physical and psychological comorbidities. Stress and emotional disturbances have been implicated in both triggering the onset and exacerbation of psoriasis. ...
  • Revisiting subjunctive obviation in French: a formal acceptability judgment study
    Feldhausen, Ingo; Buchczyk, Sebastian (Ubiquity Press, 2021)
    Even though the weakening of the subjunctive disjoint reference effect, also known as obviation, plays an important role in the research of subjunctives in (non-)Romance languages, to the best of our knowledge it has ...

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