Improving Smartphone-Based Transport Mode Recognition Using Generative Adversarial Networks
L Günthermann Andrew Philippides Daniel Roggen
Daniel Roggen
Roggen Daniel
ORCID: 0000-0001-8033-6417
Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset 10.1109/ACCESS.2019.2890793
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4th workshop on human activity sensing corpus and applications: Towards open-ended context awareness 10.1145/2968219.2968294
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3D ActionSLAM: Wearable person tracking in multi-floor environments 10.1007/s00779-014-0815-y
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Improving Smartphone-Based Transport Mode Recognition Using Generative Adversarial Networks 10.1007/978-981-15-8944-7_5
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Three-Year Review of the 2018–2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors 10.3389/fcomp.2021.713719
Andrew Philippides
Philippides Andrew
ORCID: 0000-0001-5503-0467
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Improving Smartphone-Based Transport Mode Recognition Using Generative Adversarial Networks 10.1007/978-981-15-8944-7_5
Mapping Vicon Motion Tracking to 6-Axis IMU Data for Wearable Activity Recognition 10.1007/978-981-15-8944-7_1
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Snapshot Navigation in the Wavelet Domain 10.1007/978-3-030-64313-3_24
Can Small Scale Search Behaviours Enhance Large-Scale Navigation? 10.1007/978-3-030-64313-3_32
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Wood ants express uncertainty when engaging with magnetic cues for directional guidance 10.1101/2021.04.18.440333
Learning with reinforcement prediction errors in a model of the Drosophila mushroom body 10.1038/s41467-021-22592-4
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