Indoor Location Based VOD Service Using Smart Phone Sensors

被引:1
|
作者
Yim, Jaegeol [1 ]
Park, Young-Ho [2 ]
机构
[1] Dongguk Univ, Dept Comp Engn, Gyeongju 780714, Gyeongbuk, South Korea
[2] Sookmyung Womens Univ, Dept Multimedia Sci, Seoul 140742, South Korea
基金
新加坡国家研究基金会;
关键词
Computing power - Video on demand - User interfaces - Location - Smartphones - Location based services;
D O I
10.1155/2014/397239
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A smart phone is the best device on which a location based VOD service (ILBVS) runs, because a smart phone has PC level computing power and storage capacity, and it is a personal belonging that the owner always carries. Thus, this paper proposes an efficient way of implementing an ILBVS as a smart phone app. ILBVS cannot be realized unless the system can estimate the user's location. We use a dead-reckoning indoor positioning method that determines user's location using smart phone sensors. Another necessary ingredient of ILBVS is a map that is the most important element of the LBS's user interface. We obtain the floor map from the floor map repository. The most important contribution made by this paper is the method of guessing what the user is most interested in at the current moment. With this method, we implement an example ILBVS.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] TrackMe - A Low Power Location Tracking System Using Smart Phone Sensors
    Saha, Subhanjan
    Chatterjee, Samrat
    Gupta, Amit Kr.
    Bhattacharya, Indrajit
    Mondal, Tamal
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTING AND NETWORK COMMUNICATIONS (COCONET), 2015, : 457 - 464
  • [2] An indoor location tracking based on mobile RFID for smart exhibition service
    Kim S.H.
    Park H.
    Bang H.C.
    Kim D.-H.
    [J]. Journal of Computer Virology and Hacking Techniques, 2014, 10 (2) : 89 - 96
  • [3] Indoor Localization Using Digital Auto Zoom of a Smart-phone Camera and Integrated Sensors
    Chae, Yoonsung
    Duy Thong Nguyen
    Park, Sangcheol
    Park, Youngil
    [J]. 2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018), 2018, : 561 - 564
  • [4] A Practical RF-based Indoor Localization System Combined with the Embedded Sensors in Smart Phone
    Li, Wei
    Li, Hewu
    Jiang, Yong
    [J]. 2014 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2014, : 1177 - 1182
  • [5] Indoor location service in support of a smart manufacturing facility
    Carrasco, Uises
    Coronado, Pdro Daniel Urbina
    Parto, Mahmoud
    Kurfess, Thomas
    [J]. COMPUTERS IN INDUSTRY, 2018, 103 : 132 - 140
  • [6] Ontology based Location Reasoning Method Using Smart Phone Data
    Kim, Sang Il
    Kim, Hwa Sung
    [J]. 2015 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), 2015, : 509 - 514
  • [7] Sensors in Smart Phone
    Pei, Chunmei
    Guo, Huiling
    Yang, Xiuqing
    Wang, Yangqiu
    Zhang, Xiaojing
    Ye, Hairong
    [J]. COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 2, 2011, 345 : 491 - +
  • [8] A Smart Phone Based PDR Solution for Indoor Navigation
    Chen, Ruizhi
    Pei, Ling
    Chen, Yuwei
    [J]. PROCEEDINGS OF THE 24TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2011), 2011, : 1404 - 1408
  • [9] Smart Phone Based Indoor Pedestrian Localization System
    Agrawal, Lokesh
    Toshniwal, Durga
    [J]. PROCEEDINGS OF THE 2013 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA 2013), 2013, : 137 - 143
  • [10] Indoor Location Based on Independent Sensors and WIFI
    Zhang, Shizhe
    Xiong, Yongping
    Ma, Jian
    Song, Zheng
    Wang, Wendong
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4, 2012, : 2640 - 2643