Recognition of Contact State of Four Layers Arrayed Type Tactile Sensor by using Neural Network

摘要：

Imitating human finger tip, an arrayed type tactile sensor comprising four layers is under development. In this report, a recognizing method of force and its direction is proposed by using two stage neural networks, and its validity is investigated by simulation. The procedure of simulation is as follows: first, the stress distribution of this sensor sheet applied force is simulated by FEM (Finite Element Method). The obtained stress data are assigned to each assumed stress sensing element of the array. Second, all data of these elements are processed by the first stage neural network, and force direction is calculated. Third, using this direction data and maximal stress data of 4 layers are processed by the second stage neural network.

作者: Seiji Aoyagi Takaaki Tanaka Mamoru Minami

作者单位: Department of Systems Management Engineering, Kansai University Suita, OSAKA 564-8680 JAPAN Department of Intelligent Systems Engineering, Fukui University Fukui, FUKUI 910-0017 JAPAN

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 393-397

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）