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Dynamic multimedia content delivery based on real-time user emotions: multichannel online biosignals towards adaptative gui and content delivery

机译:基于实时用户情感的动态多媒体内容交付:面向自适应GUI和内容交付的多通道在线生物信号

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摘要

Recently topics such as affective computing and multichannel multimedia distribution have gained the attention and investment of both industry and academics. The proposed system joins these domains so that ubiquitous system can be potentiated by means of online user emotion assessment based on real-time user's biosignals. It was used IAPS as a emotional library for controlled visual stimuli and biosignals were collected in real-time - heartbeat rate and skin conductance - in order to online assess the user's emotional state through Russell's Circumplex Model of Affect. To improve usability and session setup, a distributed architecture was used so that software models might be physically detached. The conducted experimental sessions and the validation interviews supported the system's efficiency not only in real-time discrete emotional state assessment but also considering the emotion inducing process. The future work consists in replicating the success in multi-format multimedia contents without pre-defined emotional metadata.
机译:最近,诸如情感计算和多通道多媒体分发之类的话题已经引起了业界和学术界的关注和投资。所提出的系统加入了这些领域,因此可以通过基于实时用户生物信号的在线用户情感评估来增强无处不在的系统。它被用作IAPS的情绪库,用于控制视觉刺激,并实时收集生物信号-心跳率和皮肤电导率-以便通过Russell的Circumplex情感模型在线评估用户的情绪状态。为了提高可用性和会话设置,使用了分布式体系结构,以便可以在物理上分离软件模型。进行的实验会议和验证性访谈不仅支持系统在实时离散情绪状态评估中的效率,而且还考虑了情绪诱导过程。未来的工作在于复制成功的多格式多媒体内容,而无需预先定义的情感元数据。

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