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arXiv · 1910.04739

Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network

Björn Friedrich·Benjamin Cauchy·Andreas Hein·Sebastian Fudickar
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Abstract

This article introduces the architecture of a Long-Short-Term Memory network for classifying transportation-modes via Smartphone data and evaluates its accuracy. By using a Long-Short-Term-Memory Network with common preprocessing steps such as normalisation for classification tasks a F1-Score accuracy of 63.68\% was achieved with an internal test dataset. We participated as Team 'GanbareAM' in the 'SHL recognition challenge'.

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Björn Friedrich, Benjamin Cauchy, Andreas Hein, Sebastian Fudickar. 2019-10-10. Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network. https://arxiv.org/abs/1910.04739

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