Combining LSTM and CNN for mode of transportation classification from smartphone sensors

Author:

Friedrich Björn1,Lübbe Carolin1,Hein Andreas1

Affiliation:

1. Carl von Ossietzky University, Oldenburg, Germany

Publisher

ACM

Reference14 articles.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimator: An Effective and Scalable Framework for Transportation Mode Classification Over Trajectories;IEEE Transactions on Intelligent Transportation Systems;2024

2. A Deep Learning Approach for TUG and SPPB Score Prediction of (Pre–) Frail Older Adults on Real—Life IMU Data;Empowering Independent Living using the ICF;2024

3. Recognize Locomotion and Transportation Modes from Wi-Fi Traces via Lightweight Models;2023 International Conference on Future Communications and Networks (FCN);2023-12-17

4. TinyMM: Multimodal-Multitask Machine Learning on Low-Power MCUs for Smart Glasses;2023 IEEE SENSORS;2023-10-29

5. An Ensemble Framework Based on Fine Multi-Window Feature Engineering and Overfitting Prevention for Transportation Mode Recognition;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

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