【摘要】：帕金森病有較高的患病率和致殘率,已成為危害老年人健康的主要疾病之一,針對這種情況,開發(fā)了一套人體姿態(tài)監(jiān)測與分類的系統(tǒng),以便在危險發(fā)生時能夠及時發(fā)現(xiàn),避免情況進(jìn)一步惡化。設(shè)計了一個便攜式人體加速度信息采集裝置,通過無線數(shù)據(jù)傳輸技術(shù),將采集到的人體加速度信息傳送到上位機(jī)PC中,根據(jù)相應(yīng)算法,在上位機(jī)PC中編寫相應(yīng)的程序,提取不同姿態(tài)下的人體特征,然后根據(jù)這些姿態(tài)特征,實現(xiàn)人體姿態(tài)的實時監(jiān)測,并且將人體姿態(tài)分類成平躺、坐、站、行走、起立等。實驗結(jié)果表明該系統(tǒng)有良好的識別能力。
[Abstract]:Parkinson's disease has a high prevalence and disability rate, and has become one of the main diseases endangering the health of the elderly. In view of this situation, a set of human posture monitoring and classification system has been developed so that it can be detected in time when the risk occurs. Avoid further deterioration of the situation. A portable human acceleration information acquisition device is designed. Through wireless data transmission technology, the collected human acceleration information is transmitted to the upper computer PC. According to the corresponding algorithm, the corresponding program is written in the upper computer PC. The human body features under different postures are extracted, and then the real-time monitoring of human posture is realized according to these posture features, and the human posture is classified into lying, sitting, standing, walking, standing and so on. The experimental results show that the system has good recognition ability.
【作者單位】： 南京理工大學(xué)智能彈藥技術(shù)國防重點學(xué)科實驗室;
【基金】：國家自然科學(xué)基金(61201391)
【分類號】：R742.5;TP391.41
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本文編號：2484482