Item-Based Learning for Music Emotion Prediction Using EEG Data

Considering emotions and contextual factors in music recommendation: a systematic literature review

“…Mobile sensors or social networks could identify user behavior. Cheng and Shen [25] UH,CCI X 10 Helmholz et al [46] SEN, CCI X 11 Hong et al [49] UH, CCI, FEED X 12 Teng et al [117] MDI, UA, CCI, ML, CF X 13 Okada et al [96] ML, UB, MD X 14 Karlsson et al [67] UH, MDI X 15 Nirjon et al [95] SEN, UA, MDI X 16 Wang et al [126] MDI, UA, MD, ML X 17 Miller et al [88] CCI, MD X 18 Chang et al [21] MD, ML -19 Dias et al [32] UA, MD -20 Hansen et al [44] UH, CCI, ML -21 Wang et al [124] CF, MC, MD, UB -22 Assuncao and Neris [7] DIM, SI, MD Emotion X 23 Kang and Seo [66] DIM, MDI, CCI X 24 Abdul et al [2] DISC, SI, SIM, ML X 25 Chiu and Ko [26] DISC, SEN, ML, SI X 26 Iyer et al [57] SEN, FE X 27 Rosa et al [101] DIM, SN X 28 Guo et al [41] SEN, SIM X 29 Lehtiniemi and Holm [79] DIM, SI X 30 Helmholz et al [47] SI, DIM, DISC X 31 Andjelkovic et al [5] DIM, MD,SIM -32 Lopes et al [84] DISC, ML -33 Li and Liu [80] UB, MP -34 Padovani et al [97] DISC, SI, ML -35 Gilda et al [39] DISC, FE, MD ML -36 Vateekul et al [120] DIM, CF, SIM -37 Narducci et al [93] DISC, SN -…”

“…Le et al [75] monitor small electrical changes in the body's skin using an electrocardiogram (ECG) sensor. In another way, Vateekul et al [120] did a study using EEG signals to predict musical emotions. In this study, the authors present a new algorithm for predicting emotions applying collaborative filtering (FC) and similarity scores based on EEG signals.…”

“…The music recommendation approaches that consider the emotions, besides being aware of the user's emotion, also direct the efforts to identify the emotions of the songs. Usually, the approaches recover the music's emotion by extracting information from the songs [7,5,39,36], either by emotional tags, similarity, or audio signal processing accompanied by machine learning methods [2,26,84,80,120,30]. Most of these approaches require the audio of the music and depend on the user/specialist's intervention during certain phases of recognizing the music emotion, making it an even more significant challenge for recognizing emotions.…”