S. Vidya, S. Inbasekar, U. Vasanthakumaran, A. Venkatesh
{"title":"智能手表应用于检测精神障碍患者的心理状态","authors":"S. Vidya, S. Inbasekar, U. Vasanthakumaran, A. Venkatesh","doi":"10.1109/ICCPC55978.2022.10072205","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Smart Watch Application to Detect Psychological State of Mentally Disturbed Patients\",\"authors\":\"S. Vidya, S. Inbasekar, U. Vasanthakumaran, A. Venkatesh\",\"doi\":\"10.1109/ICCPC55978.2022.10072205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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\",\"PeriodicalId\":367848,\"journal\":{\"name\":\"2022 International Conference on Computer, Power and Communications (ICCPC)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Computer, Power and Communications (ICCPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPC55978.2022.10072205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer, Power and Communications (ICCPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPC55978.2022.10072205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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