面向手部康复应用的数据手套技术研究
发布时间：2018-07-31 05:26
【摘要】：疾病或意外发生后经常会引起患者的手部功能障碍,但目前手部康复评估仍然依赖医生经验等主观判断,市场上现有的部分康复产品结构复杂、价格昂贵,而且无法长期记录病人的康复数据,不便于医生进行诊断和复查。提出了一种面向手部康复的多传感器数据融合手套,采用最小二乘法对加速度和地磁进行校正,利用互补滤波进行传感器数据融合,依据真实手骨模型进行虚拟手部建模,用数据手套获得的手部姿态驱动Unity3D中的手部模型。该系统可以准确地记录手的姿态信息,并在虚拟环境中进行实时还原,能高效地帮助医生进行康复评估和协助患者进行康复训练。
[Abstract]:The disease or accident often causes the patient's hand dysfunction, but the assessment of hand rehabilitation still depends on the subjective judgment of the doctor and so on. The existing parts of the market are complex and expensive, and can not record the patients' recovery data for a long time. It is not convenient for doctors to make diagnosis and recheck. The multi sensor data fusion glove to the hand, using the least square method to correct the acceleration and the geomagnetism, using the complementary filter to fuse the sensor data, modeling the virtual hand based on the real hand bone model, and using the hand posture of the hand to get the hand model in Unity3D with the data glove. The system can be recorded accurately. The hand posture information can be restored in real-time in the virtual environment, which can effectively help doctors to evaluate rehabilitation and assist patients in rehabilitation training.
【作者单位】： 南京航空航天大学自动化学院;深圳智携科技有限公司;
【基金】：国家自然科学基金(61501226) 江苏省双创博士计划(1003-YQR16007) 深圳市科技计划(CYZZ20140903120028974) 南京航空航天大学实验技术研究与开发(2016050300033264)项目资助
【分类号】：TH77;TP212.9
本文编号：2154558
[Abstract]:The disease or accident often causes the patient's hand dysfunction, but the assessment of hand rehabilitation still depends on the subjective judgment of the doctor and so on. The existing parts of the market are complex and expensive, and can not record the patients' recovery data for a long time. It is not convenient for doctors to make diagnosis and recheck. The multi sensor data fusion glove to the hand, using the least square method to correct the acceleration and the geomagnetism, using the complementary filter to fuse the sensor data, modeling the virtual hand based on the real hand bone model, and using the hand posture of the hand to get the hand model in Unity3D with the data glove. The system can be recorded accurately. The hand posture information can be restored in real-time in the virtual environment, which can effectively help doctors to evaluate rehabilitation and assist patients in rehabilitation training.
【作者单位】： 南京航空航天大学自动化学院;深圳智携科技有限公司;
【基金】：国家自然科学基金(61501226) 江苏省双创博士计划(1003-YQR16007) 深圳市科技计划(CYZZ20140903120028974) 南京航空航天大学实验技术研究与开发(2016050300033264)项目资助
【分类号】：TH77;TP212.9
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1 克里斯蒂娜·格里凡提尼;;测量手部运动的手套[J];科技创业;2010年01期
，本文编号：2154558
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