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Cited by 852

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Using mobile phones to determine transportation modes

Reddy, Sasank, Mun, Min, Burke, Jeff, Estrin, Deborah, Hansen, Mark, Srivastava, Mani·2010·ACM Transactions on Sensor Networks

Abstract

As mobile phones advance in functionality and capability, they are being used for more than just communication. Increasingly, these devices are being employed as instruments for introspection into habits and situations of individuals and communities. Many of the applications enabled by this new use of mobile phones rely on contextual information. The focus of this work is on one dimension of context, the transportation mode of an individual when outside. We create a convenient (no specific position and orientation setting) classification system that uses a mobile phone with a built-in GPS receiver and an accelerometer. The transportation modes identified include whether an individual is stationary, walking, running, biking, or in motorized transport. The overall classification system consists of a decision tree followed by a first-order discrete Hidden Markov Model and achieves an accuracy level of 93.6% when tested on a dataset obtained from sixteen individuals.

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Metadata

Authors
Reddy, S., Mun, M., Burke, J., Estrin, D., Hansen, M., & Srivastava, M.
Venue
ACM Transactions on Sensor Networks
Published
2010-02
Volume
6
Issue
2
Pages
1-27
ISSN
  • 1550-4859 (ISSN-L)
  • 1550-4867
OpenAlex
W2108328714
Cited by
852
References
52
FWCI
54.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using mobile phones to determine transportation modes. https://app.cochat.ai/papers/10.1145/1689239.1689243
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Reddy, S., Mun, M., Burke, J., Estrin, D., Hansen, M., & Srivastava, M. (2010). Using mobile phones to determine transportation modes. ACM Transactions on Sensor Networks. https://doi.org/10.1145/1689239.1689243

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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