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Memento: An Emotion Driven Lifelogging System with Wearables

机译:MEMEMENO:一种带有可穿戴物的情感驱动的生命学生系统

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Due to the increasing popularity of mobile devices, the usage of lifelogging has been dramatically expanded. People collect their daily memorial moments and share with friends on the social network, which has been an emerging lifestyle. We see great potential of lifelogging applications along with rapid growth of recent wearable market, where more sensors are introduced to wearables, i.e., electroencephalogram (EEG) sensors, that can further sense the user's mental activities, e.g., emotions. In this paper, we present the design and implementation of Memento, an emotion driven lifelogging system on wearables. Memento integrates EEG sensors with smart glasses. Since memorable moments usually coincides with the user's emotional changes, Memento leverages the knowledge from the brain-computer-interface (BCI) domain to analyze the EEG signals to infer emotions and automatically launch lifelogging based on that. Towards building Memento on COTS wearable devices, we study EEG signals in mobility cases and propose a multiple sensor fusion based approach to estimate signal quality. We also present a customized two-phase emotion recognition architecture, considering both the affordability and efficiency of wearableclass devices. Our experimental evaluation shows that Memento is responsive, efficient and user-friendly on wearables.
机译:由于移动设备的普及日益越来越多,LifeLogging的使用已经显着扩展。人们收集他们的日常纪念时刻并与朋友分享社交网络,这是一种新兴的生活方式。我们看到了LifeLogging应用程序的巨大潜力以及近期可穿戴市场的快速增长,其中更多的传感器被引入可穿戴物,即脑电图(EEG)传感器,可以进一步意识到用户的心理活动,例如情绪。在本文中,我们展示了纪念品的设计和实施,一种情感驱动的可穿戴物的生命的系统。 Memento与智能眼镜集成了EEG传感器。由于令人难忘的时刻通常与用户的情感变化一致,因此Memento利用了大脑 - 计算机接口(BCI)域的知识来分析EEG信号以推断出情绪并自动启动LifeLogging。朝着尖端可穿戴设备上建造纪念品,我们研究了移动性情况的EEG信号,并提出了一种基于传感器融合的方法来估计信号质量。我们还考虑了WearableClass设备的负担能力和效率,提供了定制的两相情感识别架构。我们的实验评估表明,纪念品在可穿戴物中是响应性,高效和用户友好的。

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