智能手表应用于检测精神障碍患者的心理状态

S. Vidya, S. Inbasekar, U. Vasanthakumaran, A. Venkatesh
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引用次数: 0

摘要

在青春期,精神健康障碍是一个必须治疗的普遍问题。因此,我们计划创建一个智能手表应用程序,它将通过分析一个人的心率、血压和其他关键因素来检测一个人的心理状态。它将有人工智能,孤独的人可以和它交谈。它可以检测出抑郁、焦虑和其他心理健康问题。通过事先预测精神障碍者的心理状态,将有助于预防自杀。除了严重的心理健康问题,它还可以用来检测情绪波动、思维模式,并分析图像和文本中的情绪,以进行全面诊断。本文讨论了各种人工智能机器学习模型,主要建议实现一个有效、可行、安全、经济的心理健康监测系统
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart Watch Application to Detect Psychological State of Mentally Disturbed Patients
In adolescence, mental health disorders are a common problem that has to be treated. Hence, we have planned to create a smart watch application which will detect the psychological state of a person by analyzing their heart beat rate, blood pressure and other crucial elements. It will have AI where lonely people can talk to. It will detect depression, anxiety and other mental health issues. It will help in preventing suicides by predicting the psychological states of mentally disturbed people beforehand. Apart from serious mental health issues it can also be used to detect mood swings, thought patterns and analyze emotions in images and texts for a holistic diagnosis. In this paper, various AI ML models are discussed, primarily suggesting to implement an effective, feasible, secure, and economical mental health monitoring system
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