摘要
对手结构和关节运动作了深人地分析，并建立了对其施加约束的手模型。根据所定义的约束及运动类型，建立了适合于手势合成的手数据结构。并采用神经网络理论进行手势识别，取得了较好的效果。
The hand structure and joint motion is analysed. A hand model is then established. And also t he motion composition based on the restriction has been studied. By acquiring key data froma dataglove and using neural network to distinguish the motion, good results have achieved.
出处
《华东船舶工业学院学报》
1998年第5期32-36,共5页
Journal of East China Shipbuilding Institute(Natural Science Edition)
关键词
计算机化仿真
神经网络
手模型
手势识别
computerized simulation
neural networks/vertual reality
hand model
data glove,hand motion distinguishing
