中文摘要：

帕金森病有较高的患病率和致残率，已成为危害老年人健康的主要疾病之一，针对这种情况，开发了一套人体姿态监测与分类的系统，以便在危险发生时能够及时发现，避免情况进一步恶化。设计了一个便携式人体加速度信息采集装置，通过无线数据传输技术，将采集到的人体加速度信息传送到上位机PC中，根据相应算法，在上位机PC中编写相应的程序，提取不同姿态下的人体特征，然后根据这些姿态特征，实现人体姿态的实时监测，并且将人体姿态分类成平躺、坐、站、行走、起立等。实验结果表明该系统有良好的识别能力。

英文摘要：

Parkinson＇s disease （PD） has high rate of disability and morbidity, and becomes one of the major diseases endangering the health of the elderly. In view of this situation, a human-body posture monitoring and classification system was developed to discover the danger timely, and prevent the further deterioration. A portable acquisition device of human-body acceleration information was designed. The collected human-body acceleration information is transmitted to the PC by means of wireless data transmission technology. According to the corresponding algorithm, the appropriate program is written in PC to extract the human-body characteristics of different postures. In accordance with the posture characteristics, the human-body posture is monitored in real time, and classified as lying, sitting, standing, walking and standing up. The experimental results show that the system has good recognition ability.