基于Kinect的上肢康复网络系统的设计与实现

Design and Implementation of Upper Limb Rehabilitation Internet System Based on Kinect

摘要:

目前上肢运动功能障碍患者的康复训练一般为人工指导的方式，针对此训练方式的人员、场地资源限制，以及训练数据难以记录管理的问题，设计并实现了一套可进行自主训练，可详细记录、查询训练数据的网络康复训练系统。系统通过Kinect传感器采集人体的运动信息，计算人体骨骼向量，并结合Dynamic Time Warping (DTW)算法，将患者的实际动作与标准动作进行匹配，根据匹配结果指导患者进行自主康复训练，节省了指导人员与场地资源，并与游戏相结合，提高了趣味性；基于Spring、SpringMVC、MyBatis（SSM）框架的康复训练数据管理系统，提供了记录、查询、统计训练数据的功能，将病人的训练时间与完成情况绘制成图表，方便专业人员跟踪病人的训练情况，使康复训练更加自动化、数据化、高效化。

Abstract:

At present, the rehabilitation training for patients with upper extremity motor function disorder is generally a manual instruction, to deal with the limitations of personnel and site resource and the difficulties recording and managing training data of this training method, an online rehabilitation training system is designed and realized in detail, which can do autonomous trainings and records searchable data. This system gathers human motion information by the Kinect sensor, calculates vectors of human skeletons, matches patients’ actual motions with standard motions using the Dynamic Time Warping (DTW), instructs patients to do autonomous trainings according to the matching results. It saves instructors and site resources, and its combination of games improves the fun. Also, its data management system based on the Spring, SpringMVC, MyBatis (SSM) framework provides the functions of recording, querying, and doing statistics of training data, finally graphs the data of training time and completion which makes it easier for professionals to track patients’ trainings. This system enables a more automated, data-based and high efficient rehabilitation training.