使用一個智慧型手錶檢測駕駛員的手位置改善駕駛安全;Detecting Driver’s Hands Position using One Smartwatch to Improve Driving Safety

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > Electronic Thesis & Dissertation > Item 987654321/77641

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/77641

Title:	使用一個智慧型手錶檢測駕駛員的手位置改善駕駛安全;Detecting Driver’s Hands Position using One Smartwatch to Improve Driving Safety
Authors:	卜帝亞;Putra, Aditya Fitri Hananta
Contributors:	資訊工程學系
Keywords:	distracted driving detection;driver’s hand position;smartwatch;empirical mode decomposition;Hilbert-Huang transform;distracted driving detection;driver’s hand position;smartwatch;empirical mode decomposition;Hilbert-Huang transform
Date:	2018-07-26
Issue Date:	2018-08-31 14:51:27 (UTC+8)
Publisher:	國立中央大學
Abstract:	分心駕駛已經成為車禍的主要原因之一。它涉及不正確操作方向盤的動作。我們提出了一種僅使用一個智能手錶來檢測駕駛員雙手位置的新方法。我們使用 empirical mode decomposition（EMD）和Hilbert-Huang transform（HHT）從手錶的加速度計信號中提取重要的振動信息。我們的實驗結果表明，使用一個智能手錶可以檢測到兩隻手的位置，兩隻手檢測精度值高達80％，單一檢測精度值高達96％。 ;The distracted driving has become one of the major cause of car accidents. It is suggested that it involves the action of not handling the steering wheel properly. We propose a novel approach to detect the two hands position of the driver using only one smartwatch. We extract important vibration information from the watch’s accelerometer signal using empirical mode decomposition (EMD) and Hilbert-Huang transform (HHT). Our experiment result shows that it is possible to detect two hands position using one smartwatch with accuracy value up to 80% for two hands detection, and up to 96% for single one detection.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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