基于Kinect系统运动采集的康复训练平台的研究与设计
发布时间：2019-04-29 19:38
【摘要】：计算机视觉在现代信息化产业中得到了迅猛发展，基于图像内容分析的技术已成功应用在交通车辆分析、工业产品检测、农业病虫害防治、交互式广告机、可视化对讲机和医疗病症检测等各领域各场合。在医疗康复领域，目前主要以机器人辅助康复和人工辅助康复两种方式。机器人辅助康复系统因其造价昂贵、维护成本高、智能性单一在实际的推广应用中市场惨淡；人工辅助康复是对患者康复最佳选择，但现实中待康复的病患对康复教练的需求远大于供方。提供一种具有康复效果同时满足康复病患购买能力和使用方便性的系统是康复训练领域的重要课题。 本文针对上述问题，以计算机视觉为解决问题的核心，通过Kinect设备采集病患者的空间深度图，重建病患康复训练的动作流。系统设定两种运动角色:康复教练和康复患者，通过对其示范和训练的动作流的评估反馈给医生病患康复训练的进度报表。另外开发了系统的客户端和WEB版管理端提供给康复训练过程中各角色基于Kinect骨骼采集技术的康复训练模型和流程。具体的主要内容如下： 1．研究康复训练的方法，提出了基于Kinect骨骼采集技术的康复方法。该方法通过对计算机视觉中深度图像运动的分析，采集了人体在康复训练时运动的动作流。通过对康复教练和康复病患两种角色的运动采集，建立康复训练的正负样本。 2．研究康复训练的办公流，提出了三角色互动康复办公业务模式。该办业务模型将康复训练过程中的三种角色：医生、病患、康复教练融合到训练过程中。并针对其业务功能设计了基于角色权限的管理系统。 3．研究康复训练采集时正负动作流相似度评估问题，提出了融合DWT算法和RANSAC算法模型的动作流相似度评估算法，有效的解决了病患训练效果的评估问题，给医生提供了置信度高的输出结果。 4．研究康复训练系统中的三维建模和场景构建问题，针对视觉康复系统，动作流可在三维场景中通过动画人物重现，，创新性的实现通过多终端异地同场景的康复训练效果。
[Abstract]:Computer vision has been developed rapidly in the modern information industry. The technology based on image content analysis has been successfully applied in traffic vehicle analysis, industrial product detection, agricultural pest control, interactive advertising machine, etc. Visual walkie-talkie and medical symptoms detection in various fields and occasions. In the field of medical rehabilitation, robot-assisted rehabilitation and artificial-assisted rehabilitation are two main methods at present. Because of its high cost and high maintenance cost, robot assisted rehabilitation system has a poor market in practical popularization and application. Artificial assisted rehabilitation is the best choice for patients' rehabilitation, but in reality, the demand for rehabilitation coaches is much larger than that of the supply side for the patients to be rehabilitated. It is an important topic in the field of rehabilitation training to provide a system which can satisfy the purchase ability and convenience of the patients with rehabilitation at the same time. Aiming at the above problems, this paper takes computer vision as the core to solve the problem, and collects the spatial depth map of the patient through Kinect device, and reconstructs the motion flow of the patient's rehabilitation training. Two kinds of sports roles were set up in the system: rehabilitation coach and rehabilitation patient. Through the evaluation of their demonstration and training motion flow, the progress report of the rehabilitation training was given to the doctor. In addition, the client side of the system and the management end of the WEB version are developed to provide the rehabilitation training model and process for the characters in the rehabilitation training process based on the Kinect bone acquisition technology. The main contents are as follows: 1. To study the methods of rehabilitation training, and put forward a rehabilitation method based on Kinect bone acquisition technology. Based on the analysis of depth image motion in computer vision, the motion flow of human body during rehabilitation training is collected. The positive and negative samples of rehabilitation training were established by collecting the two roles of rehabilitation coach and rehabilitation patient. 2. To study the office flow of rehabilitation training, and put forward the three-role interactive rehabilitation office business model. The business model integrates the three roles of rehabilitation training: doctors, patients, and rehabilitation coaches into the training process. And the management system based on role privilege is designed for its business function. 3. The problem of evaluating the similarity degree of positive and negative motion flow in rehabilitation training collection is studied, and an algorithm for evaluating the similarity degree of motion flow based on DWT algorithm and RANSAC algorithm model is put forward, which effectively solves the evaluation problem of patient's training effect. It provides doctors with a high level of confidence in the output results. 4. The problem of three-dimensional modeling and scene construction in rehabilitation training system is studied. Aiming at the visual rehabilitation system, motion flow can be reproduced in three-dimensional scene by animating characters, and the effect of rehabilitation training through multi-terminal and same scene can be realized innovatively.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP274.2
本文编号：2468473
[Abstract]:Computer vision has been developed rapidly in the modern information industry. The technology based on image content analysis has been successfully applied in traffic vehicle analysis, industrial product detection, agricultural pest control, interactive advertising machine, etc. Visual walkie-talkie and medical symptoms detection in various fields and occasions. In the field of medical rehabilitation, robot-assisted rehabilitation and artificial-assisted rehabilitation are two main methods at present. Because of its high cost and high maintenance cost, robot assisted rehabilitation system has a poor market in practical popularization and application. Artificial assisted rehabilitation is the best choice for patients' rehabilitation, but in reality, the demand for rehabilitation coaches is much larger than that of the supply side for the patients to be rehabilitated. It is an important topic in the field of rehabilitation training to provide a system which can satisfy the purchase ability and convenience of the patients with rehabilitation at the same time. Aiming at the above problems, this paper takes computer vision as the core to solve the problem, and collects the spatial depth map of the patient through Kinect device, and reconstructs the motion flow of the patient's rehabilitation training. Two kinds of sports roles were set up in the system: rehabilitation coach and rehabilitation patient. Through the evaluation of their demonstration and training motion flow, the progress report of the rehabilitation training was given to the doctor. In addition, the client side of the system and the management end of the WEB version are developed to provide the rehabilitation training model and process for the characters in the rehabilitation training process based on the Kinect bone acquisition technology. The main contents are as follows: 1. To study the methods of rehabilitation training, and put forward a rehabilitation method based on Kinect bone acquisition technology. Based on the analysis of depth image motion in computer vision, the motion flow of human body during rehabilitation training is collected. The positive and negative samples of rehabilitation training were established by collecting the two roles of rehabilitation coach and rehabilitation patient. 2. To study the office flow of rehabilitation training, and put forward the three-role interactive rehabilitation office business model. The business model integrates the three roles of rehabilitation training: doctors, patients, and rehabilitation coaches into the training process. And the management system based on role privilege is designed for its business function. 3. The problem of evaluating the similarity degree of positive and negative motion flow in rehabilitation training collection is studied, and an algorithm for evaluating the similarity degree of motion flow based on DWT algorithm and RANSAC algorithm model is put forward, which effectively solves the evaluation problem of patient's training effect. It provides doctors with a high level of confidence in the output results. 4. The problem of three-dimensional modeling and scene construction in rehabilitation training system is studied. Aiming at the visual rehabilitation system, motion flow can be reproduced in three-dimensional scene by animating characters, and the effect of rehabilitation training through multi-terminal and same scene can be realized innovatively.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP274.2
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