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篇名 |
LSTM Network for Transportation Mode Detection
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並列篇名 | LSTM Network for Transportation Mode Detection |
作者 | Sachin Kumar、Agam Damaraju、Aditya Kumar、Saru Kumari、Chien-Ming Chen |
英文摘要 | The study of Transportation Mode Detection (TMD) has become a popular research field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming years. In our study, using the approach of TMDataset1, we have gathered the data from different user’s Smartphones up to 5 different transportation modes. However, as the raw data contains noise, we use Feature Engineering to extract useful features from the raw dataset and convert it into different feature frames to feed into a deep learning model called Long Short-Term Memory (LSTM). We used different sized feature frames to input the LSTM network for efficient transportation mode detection and achieved up to 98% classification accuracy for five transportation modes. |
起訖頁 | 891-902 |
關鍵詞 | Transportation mode、Deep learning、LSTM、Feature engineering、Intelligent transportation system |
刊名 | 網際網路技術學刊 |
期數 | 202107 (22:4期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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