{"title":"Analyzing the human behavior using pervasive sensing system","authors":"Maitri Vaghela, Kalyan Sasidhar","doi":"10.1145/3369740.3372766","DOIUrl":null,"url":null,"abstract":"Smartphones are becoming an integral part of the Internet of Things-(IoT) paradigm with their built-in sensor ecosystem providing a convenient platform to study human behavior. Examples include activity monitoring, transportation mode detection, travel behaviour and so on. All of these examples are connected in one way or the other to the IoT domain such as smart cities, smart health and so on. In this paper, we attempt to use smartphone sensors to understand college student behaviour within a campus for 30 days. The rising use of smartphones by the student population, motivated us to install a continuous sensing application on their smartphones to understand their daily routines, their physical activity levels, their sleep patterns, and their mobility patterns within the campus. Our empirical data was supported by qualitative responses from the students. The results of this experiment showed that smartphones indeed could be utilized to extract behavioral patterns of students.","PeriodicalId":240048,"journal":{"name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st International Conference on Distributed Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3369740.3372766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Smartphones are becoming an integral part of the Internet of Things-(IoT) paradigm with their built-in sensor ecosystem providing a convenient platform to study human behavior. Examples include activity monitoring, transportation mode detection, travel behaviour and so on. All of these examples are connected in one way or the other to the IoT domain such as smart cities, smart health and so on. In this paper, we attempt to use smartphone sensors to understand college student behaviour within a campus for 30 days. The rising use of smartphones by the student population, motivated us to install a continuous sensing application on their smartphones to understand their daily routines, their physical activity levels, their sleep patterns, and their mobility patterns within the campus. Our empirical data was supported by qualitative responses from the students. The results of this experiment showed that smartphones indeed could be utilized to extract behavioral patterns of students.