Personalised, Multi-Modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing
Personalised, Multi-Modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing
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DOI：
10.1109/taffc.2018.2801811
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发表时间：
2020-01-01
影响因子：
11.2
通讯作者：
Nasuto, Slawomir J.
中科院分区：
文献类型：
--
作者：
Daly, Ian;Williams, Duncan;Nasuto, Slawomir J.
脑机音乐接口（BCMI）可以用来调节情感状态，在音乐治疗，作曲和娱乐中的应用。然而，为了使这样的系统工作，它们需要能够可靠地检测用户的当前情感状态。我们提出了一种用于BCMI中的个性化情感状态检测的方法。我们将其与在17名用户上训练的基于人群的检测方法进行比较，并证明个性化情感状态检测显著（p
Brain-computer music interfaces (BCMIs) may be used to modulate affective states, with applications in music therapy, composition, and entertainment. However, for such systems to work they need to be able to reliably detect their user's current affective state. We present a method for personalised affective state detection for use in BCMI. We compare it to a population-based detection method trained on 17 users and demonstrate that personalised affective state detection is significantly (p