心灵的推特:使用脑电波模式分析的社交媒体自动情感检测

Abdulaziz Almehmadi, Michael Bourque, K. El-Khatib
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引用次数: 7

摘要

虽然全球每秒钟都有数百万人使用社交媒体以某种形式传播他们的情绪和经历,但这些人在试图通过社交媒体分享经验时仍然面临一些情境挑战。这项工作介绍了使用脑机接口设备来检测人类情感的想法,然后将其与地理位置信息配对,并自动发布到流行的社交媒体服务上。提出并实现了一个完整的系统架构,其中使用脑电图设备和移动计算设备执行脑模式分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Tweet of the Mind: Automated Emotion Detection for Social Media Using Brain Wave Pattern Analysis
While millions of individuals around the globe use social media every second to disseminate, in some form, their emotions and experiences, there are still some situational challenges these individuals face while trying to share experience over social media. This work introduces the idea of using a Brain Computer Interface device to detect human emotion, which is then paired with geo-location information and automatically posted to a popular social media service. A complete architecture of a system that implements this idea is proposed and implemented, where Brain Pattern Analysis is performed using an Electroencephalogram device and a mobile computing device.
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