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基于眼電的閱讀狀態(tài)檢測研究

Detection of reading status based on EOG

作者: 鄭敏敏  高小榕                  
單位:                      清華大學生物醫(yī)學工程系(北京100084)        
關鍵詞:                     眼電信號;數(shù)學形態(tài)學;特征提取;閱讀          
分類號:
出版年·卷·期(頁碼):2014·33·2(172-178)
摘要:

目的 閱讀是一種重要的認知過程,可通過眼動檢測實現(xiàn)觀測。基于眼電的閱讀檢測算法可應用于不同的閱讀行為和注意力水平的自動檢測。方法 通過提取閱讀時水平眼電信號的特征以有效識別閱讀活動。首先使用數(shù)學形態(tài)學對原始水平眼電信號進行平滑處理,去除眨眼和肌電等干擾。平滑后的眼電信號進行差分處理,然后提取出閱讀時的水平眼電信號的特征,進行識別分類,從而判斷出受試的閱讀情況,并與實際的閱讀狀態(tài)進行比較。結果 對閱讀狀態(tài)和非閱讀狀態(tài)時間段的分析結果顯示,數(shù)學形態(tài)學和閾值法相結合的方法對眨眼和肌電等噪聲的抗干擾能力較強,可有效識別出閱讀活動,平均檢測率為75%。結論 數(shù)學形態(tài)學和特征提取相結合的方法能較好地提取出眼球的活動信息,應用于日常的閱讀活動識別中。

Objective Reading behavior which is an important cognitive process can be realized by detecting the eye movements.This paper presents a detection algorithm which can identify reading activities effectively through the feature extraction of horizontal EOG.The detection algorithm can detect different reading behaviors and attention levels automatically.Methods First,the EMG and blink interference are removed from the horizontal EOG by mathematical morphology.Next,the features of the smoothed horizontal EOG are extracted by difference arithmetic.At last,the reading activities can be detected by the classification result of the features which are compared with actual reading activities.Results The analysis results of reading state and non-reading state in different periods show that the combination method of mathematical morphology with threshold value method has a strong anti-interference ability to the noise of blink and EMG.In this paper,a detection rate of 75% is achieved.Conclusions The combination method of mathematical morphology with feature extraction is effective for identifying the reading behaviors.This method can be applied to the recognition of daily reading activity.

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