基于人工智能的抑郁症行为激活的活动识别

2022 IEEE 4th PhD Colloquium on Emerging Domain Innovation and Technology for Society (PhD EDITS) Pub Date : 2022-11-04 DOI:10.1109/PhDEDITS56681.2022.9955283

Sudhan H V Madhu, S. S. Kumar, Monalin Pal, P. Rubini

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引用次数: 0

摘要

行为激活是认知行为治疗中的一种方法，它利用行为来影响人的情绪状态。行为激活有助于参与活动来激活积极的情绪状态并克服抑郁。在本文中，我们展示了一种新的方法，通过在咨询过程中检测情绪，情绪和理解人的背景和兴趣来识别行为激活的正确活动。我们展示了一种使用人工智能通过语音和文本模态识别行为激活活动的多模态方法。预测模型在情绪识别方面的准确率为83%，在情绪检测方面的准确率为81%，在识别行为激活的正确活动方面的准确率为82%。

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Activity Recognition for Behavioral Activation in Depression with Artificial Intelligence

Behavioral Activation is a method in Cognitive Behavioral Therapy which uses behavior to influence the emotional condition of the person. Behavioral Activation aids in engaging activities to activate a positive emotional state and overcome the depression. In this paper, we showcase a new method to recognize the right activity for behavioral activation by detecting emotion, sentiment and understanding the context and interests of the person during counseling. We showcase a multi-modal method to recognize activity for behavioral activation through speech and text modalities using artificial intelligence. Projected model attained an accuracy of 83% for emotion recognition, 81% for sentiment detection and 82% for identifying the right activity for behavioral activation.

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2022 IEEE 4th PhD Colloquium on Emerging Domain Innovation and Technology for Society (PhD EDITS)

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