基于感知学习的成人弱视在线训练系统的设计  

Design of an Online Adult Amblyopia Training System Based on Perceptual Learning

作　　者：王丽萍[1] 陈友[1] 邱飞岳[2] 

机构地区：[1]浙江工业大学信息智能与决策优化研究所,浙江杭州310012 [2]浙江工业大学现代教育技术研究所,浙江杭州310012

出　　处：《计算机工程与科学》2010年第3期151-154,共4页Computer Engineering & Science

基　　金：浙江省重大科技专项项目(2006C11223);浙江省杰青团队项目(R208100)

摘　　要：本文根据感知学习在成人弱视治疗中的最新研究成果,采用Gabor作为训练刺激视标,选择视标在有噪环境下的识别(Discrimination)任务作为训练方法,分析并设计了基于感知学习的成人弱视训练系统。系统给出了两种不同条件下的刺激任务对成人弱视患者进行感知学习训练,根据训练的结果调节下一个模块训练的难度系数,降低患者对比度阈值(Contrast Threshold),提高视觉对比敏感度(Contrast Sensitivity)。考虑到患者长期在医院治疗带来的不便,系统提出了基于网络支持的体系结构,将训练数据同步到中心数据库,为计算下一个模块的训练参数提供保证,并使患者可以随时在家中进行训练治疗。Based on the latest research results of perceptual learning on adult amblyopia, the paper adopts Gabor as the training stimuli, selects discrimination tasks under the noise environment as the training method, and analyzes and designs the adult amblyopia training system of perceptual learning. The system contains two stimulating tasks in relation to perceptual learning training with adult amblyopia in different conditions, and adjusts the next training model parameter based on the previous training results, which reduces the amblyopia＇s contrast threshold and improves their visual contrast sensitivity. Given full consideration to the inconvenience of the medical treatment of the long-term patients, the system provides the structure with web support, and synchronizes the training data to the central database. In this way, the system can garantee the parameters for computing the next model＇s training parameters, and render patients a home-based treatment.

关 键 词：成人弱视 感知学习Gabor视标 对比敏感度 网络结构 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] R770[自动化与计算机技术—计算机科学与技术]