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Mar 1, 2020 · Thus, ML seems to be an important new supporting tool for music therapy intervention; ML methods can provide music therapy professionals with very important (though not strict) suggestions for music listening choices by identifying possible predictive factors of therapeutic success.
- Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...
- 2020
Our paper proposes a web interface, which suggests music to the user depending on his present emotions and thus uplift the user’s mood. This system uses the device camera to take a picture of the user and recognizes his face & facial expressions.
We have built a ML Model which suggests a playlist of songs to the user that will uplift the user’s mood. This model can predict the user’s emotion through captured facial image.
Nov 18, 2020 · Using this reduced set of significant features, the ML model can predict the likely emotional state score that a human listener would ascribe to newly input music pieces by determining the similarity between pieces using their respective sets of features.
Dec 3, 2020 · Our results overall provide a strong motivation to investigate the relationship between physiological signals and music, which can lead to improvements in music therapy for mental health care and musicogenic epilepsy reduction (our long term goal).
- Jessica Sharmin Rahman, Tom Gedeon, Sabrina B. Caldwell, Richard Jones, Zi Jin
- 2021
Emerging research supports the potential of music-based interventions to improve mental health, but their efficacy remains unclear for A-YA. This systematic review evaluates the evidence on music-based psychosocial interventions to improve engagement in treatment and/or mental health outcomes among A-YA.
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A new approach to auto-play music using facial emotions. Most existing approaches involve manually playing music, using portable computing devices, or classification based on audio features. Instead, we suggest changing to manual sorting and playback.