基于迁移学习的深度神经网络面部表情识别与推荐

Narayana Darapaneni, Rahul Choubey, Pratik Salvi, Ankur Pathak, Sajal Suryavanshi, A. Paduri
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引用次数: 4

摘要

本研究试图通过面部表情识别来了解和解决职业人士的心理健康问题。作为一个社会,我们现在都在谈论一个遭受任何情感问题的人如何采取某种方式走出特定的环境,以及我们作为一个社会如何在这些情况下支持这些人。我们的努力是找到一种方法,可以识别出这些正在经历生命中困难阶段的人。并不总是很明显,一个经历艰难阶段的人可能会向周围的人敞开心扉,因此利用AI/ML通过一段时间内捕捉到的面部表情来识别一个人的情绪,从而向他们推荐一些活动和想法,这些活动和想法可以帮助他们在悲伤、恐惧或其他程度上解决问题时克服情绪。
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Facial Expression Recognition and Recommendations Using Deep Neural Network with Transfer Learning
This study is an attempt to understand and address the mental health issue, of working professionals through facial expression recognition. As a society, we are all currently talking about ways as to how a person who is suffering from any emotional issue can adopt certain ways to come out of a specific circumstance and how we as a society can support such people in these situations.Our endeavor is to work on a way where the identification of such persons who are going through a difficult phase in their life can be performed. It is not always evident that a person going through a tough phase may open up about their feelings to people around them and hence making use of AI/ML to identify a person’s emotion through their facial expressions captured over a span of time thereby recommending them some activities, thoughts which can help them in getting over their emotions when they are sad, fearful or else will address the problem to some extent.
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