@INPROCEEDINGS{7866610, 
author={W. Wu and D. Wang and T. Wang and M. Liu}, 
booktitle={2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)}, 
title={A personalized limb rehabilitation training system for stroke patients}, 
year={2016}, 
volume={}, 
number={}, 
pages={1924-1929}, 
abstract={In order to guide patients on their rehabilitation training based on their own conditions and to decrease repetitive work of the rehabilitative physicians, we propose a personalized physical rehabilitation training system using virtual reality technology. On the one hand, with the 9-dof posture sensor and strength sensor, our system realizes collecting patients' data while guiding the patient to complete the rehabilitation task through real-time 3D graphics interface; on the other hand, by gathering historical data of the patient, our system is capable of giving him a personalized rehabilitation plan as reference. Empirical results indicate that our system can offer stroke patients real-time instructions with high accuracy on their rehabilitation training according to the pre-defined training plans. It is able to provide stroke patients with a more convenient, cost-effective and personalized choice for their rehabilitation training.}, 
keywords={computer based training;graphical user interfaces;patient rehabilitation;sensors;virtual reality;9-DOF posture sensor;9-DOF strength sensor;patient data collection;personalized limb rehabilitation training system;personalized physical rehabilitation training system;real-time 3D graphics interface;rehabilitative physicians;stroke patients;virtual reality technology;Bluetooth;Games;Hardware;Medical services;Robot sensing systems;Training;Virtual reality}, 
doi={10.1109/ROBIO.2016.7866610}, 
ISSN={}, 
month={Dec},}