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Emotion-aware computing using smartphone

机译:使用智能手机进行情感感知计算

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摘要

In this project, we address the problem to determine human emotion states automatically using modern day smartphones. Sensor-rich smartphones have opened up the opportunity to unobtrusively collect user behaviour patterns, activity details and infer information about emotion states. Determining human emotion accurately and efficiently to build a scalable system is the major objective of the project. Towards that goal, we plan to develop an emotion detection model leveraging on different information sources present on smartphone. Emotion awareness is finding its applicability in various applications in digital marketing, healthcare, advertising, personalized learning, and in designing novel user interfaces. We discuss two specific scenarios Quantified self and Affective learning, where this can be useful.
机译:在这个项目中,我们解决了使用现代智能手机自动确定人类情绪状态的问题。传感器丰富的智能手机为不加干扰地收集用户行为模式,活动详细信息以及推断有关情绪状态的信息提供了机会。该项目的主要目标是准确,有效地确定人的情感以构建可扩展的系统。为了实现这一目标,我们计划利用智能手机上存在的不同信息源来开发情绪检测模型。情感意识正在数字营销,医疗保健,广告,个性化学习以及设计新颖的用户界面的各种应用中找到其适用性。我们讨论了量化的自我学习和情感学习的两种具体情况,在这种情况下可能会有用。

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