IEICE TRANSACTIONS on Communications
Representative Path Selection for Goal & Path Prediction
Summary :
Various types of data from environment are used to provide user-adaptive services. Among them, data of a user's past moving paths are useful to predict a moving user's next location and provide related services. This paper proposes a method to predict a moving user's location through analyzing his/her past moving paths. This method analyzes the user's moving path by using three elements of distance, time and direction of moving paths and Dynamic Time Warping (DTW), and selects the representative path, which is the one most similar to the current moving path in the past paths. The selected path can be used to provide service like space and time estimation.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.11 pp.3516-3523
- Publication Date
- 2008/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.11.3516
- Type of Manuscript
- Special Section PAPER (Special Section on Emerging Technologies for Practical Ubiquitous and Sensor Networks)
- Category
Authors
Keyword
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Taebok YOON, Jee-Hyong LEE, "Representative Path Selection for Goal & Path Prediction" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 11, pp. 3516-3523, November 2008, doi: 10.1093/ietcom/e91-b.11.3516.
Abstract: Various types of data from environment are used to provide user-adaptive services. Among them, data of a user's past moving paths are useful to predict a moving user's next location and provide related services. This paper proposes a method to predict a moving user's location through analyzing his/her past moving paths. This method analyzes the user's moving path by using three elements of distance, time and direction of moving paths and Dynamic Time Warping (DTW), and selects the representative path, which is the one most similar to the current moving path in the past paths. The selected path can be used to provide service like space and time estimation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.11.3516/_p
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@ARTICLE{e91-b_11_3516,
author={Taebok YOON, Jee-Hyong LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Representative Path Selection for Goal & Path Prediction},
year={2008},
volume={E91-B},
number={11},
pages={3516-3523},
abstract={Various types of data from environment are used to provide user-adaptive services. Among them, data of a user's past moving paths are useful to predict a moving user's next location and provide related services. This paper proposes a method to predict a moving user's location through analyzing his/her past moving paths. This method analyzes the user's moving path by using three elements of distance, time and direction of moving paths and Dynamic Time Warping (DTW), and selects the representative path, which is the one most similar to the current moving path in the past paths. The selected path can be used to provide service like space and time estimation.},
keywords={},
doi={10.1093/ietcom/e91-b.11.3516},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Representative Path Selection for Goal & Path Prediction
T2 - IEICE TRANSACTIONS on Communications
SP - 3516
EP - 3523
AU - Taebok YOON
AU - Jee-Hyong LEE
PY - 2008
DO - 10.1093/ietcom/e91-b.11.3516
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2008
AB - Various types of data from environment are used to provide user-adaptive services. Among them, data of a user's past moving paths are useful to predict a moving user's next location and provide related services. This paper proposes a method to predict a moving user's location through analyzing his/her past moving paths. This method analyzes the user's moving path by using three elements of distance, time and direction of moving paths and Dynamic Time Warping (DTW), and selects the representative path, which is the one most similar to the current moving path in the past paths. The selected path can be used to provide service like space and time estimation.
ER -
English
