Predictability analysis of aperiodic and periodic model for long-term human mobility using ambient sensors

Danaipat Sodkomkham, Roberto Legaspi, Ken Ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao

研究成果: Conference contribution

抄録

The predictive technique proposed in this project was initially designed for an indoor smart environment wherein intrusive tracking techniques, such as cameras, mobile phones, and GPS tracking systems, could not be appropriately utilized. Instead, we installed simple motion detection sensors in various areas of the experimental space and observed movements. However, the data collected cannot provide as much information about human mobility as data from a GPS or mobile phone. In this paper, we conducted an exhaustive analysis to determine the predictability of future mobility of people using only this limited dataset. Furthermore, we proposed an aperiodic and periodic predictive technique for long-term human mobility prediction that works well with our limited dataset. The evaluation of the dataset collected of the movement and daily activity in the smart space for three months shows that our model is able to predict future mobility and activities of participants in the smart environment setting with high accuracy – even for a month in advance.

本文言語English
ホスト出版物のタイトルMining, Modeling, and Recommending Things in Social Media - 4th International Workshops MUSE 2013 and MSM 2013, Revised Selected Papers
編集者Alvin Chin, Martin Atzmueller, Christoph Scholz, Christoph Trattner
出版社Springer Verlag
ページ131-149
ページ数19
ISBN(電子版)9783319147222
DOI
出版ステータスPublished - 2015
外部発表はい
イベント4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013 in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2013 - Prague, Czech Republic
継続期間: 2013 9 232013 9 23

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8940
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013 in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2013
国/地域Czech Republic
CityPrague
Period13/9/2313/9/23

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「Predictability analysis of aperiodic and periodic model for long-term human mobility using ambient sensors」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル