Takumi Nagasawa, Ryo Takahashi, Keiko Ogawa-Ochiai, N. Tsumura
{"title":"[论文]基于多生物信息的多模态应力估计:迈向更精确和详细的应力估计","authors":"Takumi Nagasawa, Ryo Takahashi, Keiko Ogawa-Ochiai, N. Tsumura","doi":"10.3169/mta.9.276","DOIUrl":null,"url":null,"abstract":"stress estimation methods using camera have been investigated, which involve capturing biological information in the form of facial and skin videos. Specific biological information that can be Abstract In this paper, we propose a method for estimating stress levels using multibiological information obtained from red-green-blue (RGB) facial videos. The most popular method for estimating stress is by questionnaire, which is not highly objective or accurate. To estimate stress levels more accurately, it is desirable to establish the method which can estimate with objective and accurate information. In recent years, many methods for using biological information have been proposed. In this study, we used three types of biological information to estimate stress: pulse rate variability, blink rate, and pupil size, which were captured using an RGB camera. Results showed that the use of these biological signals improved the accuracy of stress estimation. Moreover, using biological information in a multimodal manner enabled the most accurate and detailed stress estimation.","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Paper] Multimodal Stress Estimation Using Multibiological Information: Towards More Accurate and Detailed Stress Estimation\",\"authors\":\"Takumi Nagasawa, Ryo Takahashi, Keiko Ogawa-Ochiai, N. Tsumura\",\"doi\":\"10.3169/mta.9.276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"stress estimation methods using camera have been investigated, which involve capturing biological information in the form of facial and skin videos. Specific biological information that can be Abstract In this paper, we propose a method for estimating stress levels using multibiological information obtained from red-green-blue (RGB) facial videos. The most popular method for estimating stress is by questionnaire, which is not highly objective or accurate. To estimate stress levels more accurately, it is desirable to establish the method which can estimate with objective and accurate information. In recent years, many methods for using biological information have been proposed. In this study, we used three types of biological information to estimate stress: pulse rate variability, blink rate, and pupil size, which were captured using an RGB camera. Results showed that the use of these biological signals improved the accuracy of stress estimation. Moreover, using biological information in a multimodal manner enabled the most accurate and detailed stress estimation.\",\"PeriodicalId\":41874,\"journal\":{\"name\":\"ITE Transactions on Media Technology and Applications\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ITE Transactions on Media Technology and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3169/mta.9.276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITE Transactions on Media Technology and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3169/mta.9.276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
[Paper] Multimodal Stress Estimation Using Multibiological Information: Towards More Accurate and Detailed Stress Estimation
stress estimation methods using camera have been investigated, which involve capturing biological information in the form of facial and skin videos. Specific biological information that can be Abstract In this paper, we propose a method for estimating stress levels using multibiological information obtained from red-green-blue (RGB) facial videos. The most popular method for estimating stress is by questionnaire, which is not highly objective or accurate. To estimate stress levels more accurately, it is desirable to establish the method which can estimate with objective and accurate information. In recent years, many methods for using biological information have been proposed. In this study, we used three types of biological information to estimate stress: pulse rate variability, blink rate, and pupil size, which were captured using an RGB camera. Results showed that the use of these biological signals improved the accuracy of stress estimation. Moreover, using biological information in a multimodal manner enabled the most accurate and detailed stress estimation.