Transition-points-based Segmentation and Hierarchical Classification for Locomotion and Transportation recognition on Radio-data-Reference-Cited by-同舟云学术

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Transition-points-based Segmentation and Hierarchical Classification for Locomotion and Transportation recognition on Radio-data

Published:2021-09-21 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
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Author:

Le Nhat Tan¹,Nahid Nazmun²,Inoue Sozo²

Affiliation:

1. Kyushu Institute of Technology and Ho Chi Minh City University of Technology, Japan

2. Kyushu Institute of Technology, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460418.3479380

Reference23 articles.

1. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands

2. Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification

3. Dwelling in the canyons: Dwelling detection in urban environments using GPS, Wi-Fi, and geolocation

4. Understanding individual mobility patterns from urban sensing data: A mobile phone trace example

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