Mood prediction from facial video with music 'therapy' on a smartphone

التفاصيل البيبلوغرافية
العنوان: Mood prediction from facial video with music 'therapy' on a smartphone
المؤلفون: Chai Kiat Yeo, Yean Seanglidet, Bu-Sung Lee
المصدر: WTS
بيانات النشر: IEEE, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Music therapy, InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.,HCI), Computer science, Applied psychology, computer.software_genre, behavioral disciplines and activities, GeneralLiterature_MISCELLANEOUS, Stress relief, 03 medical and health sciences, InformationSystems_MODELSANDPRINCIPLES, 0302 clinical medicine, mental disorders, medicine, ComputingMethodologies_COMPUTERGRAPHICS, Medical treatment, Multimedia, 05 social sciences, ComputingMilieux_PERSONALCOMPUTING, 050301 education, medicine.disease, 030227 psychiatry, Mood, Mood disorders, Mobile phone, Smartphone app, Anxiety, medicine.symptom, 0503 education, computer
الوصف: With the ubiquity of smartphones, it is beneficial for a mobile phone to be able to analyse human moods from a facial video in real-time. Such an application will be useful in facilitating monitoring of patients and elderly with mood disorders and provide music therapy for mood enhancement and anxiety/stress relief. This paper presents a prototype desktop version and a smartphone app which analyses the mood of a video and predict the user's mood. The app can play songs and change the song according to the mood analyzed.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::71c3a2329dd9ee050bdc429072f3dfa3Test
https://doi.org/10.1109/wts.2016.7482034Test
رقم الانضمام: edsair.doi...........71c3a2329dd9ee050bdc429072f3dfa3
قاعدة البيانات: OpenAIRE