{"title":"Human Behavior Challenge Winning Solution","authors":"Saket Kunwar","doi":"10.1109/PERCOMW.2019.8730758","DOIUrl":null,"url":null,"abstract":"This paper describes the winning method and results of the Human Behaviour Challenge 201811https://competitions.codalab.org/competitions/17401. GPS trajectories from smartphones and associated metadata of people involved in a game of finding hidden objects were collected at Nagoya Institute of Technology, Japan. The competition, hosted at codalab.org, challenged the participants to find a solution that could predict the future destination and past starting point from the given data. Knowing the future and past track data of users could enable the organizers to provide personalized and localized services. The source code22https://github.com/saketkunwar/hbc2018 under open source license has been released at github.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2019.8730758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes the winning method and results of the Human Behaviour Challenge 201811https://competitions.codalab.org/competitions/17401. GPS trajectories from smartphones and associated metadata of people involved in a game of finding hidden objects were collected at Nagoya Institute of Technology, Japan. The competition, hosted at codalab.org, challenged the participants to find a solution that could predict the future destination and past starting point from the given data. Knowing the future and past track data of users could enable the organizers to provide personalized and localized services. The source code22https://github.com/saketkunwar/hbc2018 under open source license has been released at github.
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