{"title":"使用智能手机的情感感知计算","authors":"Surjya Ghosh","doi":"10.1109/COMSNETS.2017.7945464","DOIUrl":null,"url":null,"abstract":"In this project, we address the problem to determine human emotion states automatically using modern day smartphones. Sensor-rich smartphones have opened up the opportunity to unobtrusively collect user behaviour patterns, activity details and infer information about emotion states. Determining human emotion accurately and efficiently to build a scalable system is the major objective of the project. Towards that goal, we plan to develop an emotion detection model leveraging on different information sources present on smartphone.","PeriodicalId":168357,"journal":{"name":"2017 9th International Conference on Communication Systems and Networks (COMSNETS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Emotion-aware computing using smartphone\",\"authors\":\"Surjya Ghosh\",\"doi\":\"10.1109/COMSNETS.2017.7945464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this project, we address the problem to determine human emotion states automatically using modern day smartphones. Sensor-rich smartphones have opened up the opportunity to unobtrusively collect user behaviour patterns, activity details and infer information about emotion states. Determining human emotion accurately and efficiently to build a scalable system is the major objective of the project. Towards that goal, we plan to develop an emotion detection model leveraging on different information sources present on smartphone.\",\"PeriodicalId\":168357,\"journal\":{\"name\":\"2017 9th International Conference on Communication Systems and Networks (COMSNETS)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 9th International Conference on Communication Systems and Networks (COMSNETS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSNETS.2017.7945464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 9th International Conference on Communication Systems and Networks (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS.2017.7945464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this project, we address the problem to determine human emotion states automatically using modern day smartphones. Sensor-rich smartphones have opened up the opportunity to unobtrusively collect user behaviour patterns, activity details and infer information about emotion states. Determining human emotion accurately and efficiently to build a scalable system is the major objective of the project. Towards that goal, we plan to develop an emotion detection model leveraging on different information sources present on smartphone.