Recognition of contact state of four layers arrayed type tactile sensor by using neural network

Seiji Aoyagi; Takaaki Tanaka; Mamoru Minami

doi:10.1109/ICIA.2006.305744

Recognition of contact state of four layers arrayed type tactile sensor by using neural network

Seiji Aoyagi, Takaaki Tanaka, Mamoru Minami

Research output: Contribution to conference › Paper › peer-review

9 Citations (Scopus)

Abstract

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.

Original language	English
Pages	393-397
Number of pages	5
DOIs	https://doi.org/10.1109/ICIA.2006.305744
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Information Acquisition, ICIA 2006 - Weihai, Shandong, China Duration: Aug 20 2006 → Aug 23 2006

Other

Other	2006 IEEE International Conference on Information Acquisition, ICIA 2006
Country	China
City	Weihai, Shandong
Period	8/20/06 → 8/23/06

ASJC Scopus subject areas

Information Systems
Information Systems and Management
Control and Systems Engineering

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abstract = "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.",

author = "Seiji Aoyagi and Takaaki Tanaka and Mamoru Minami",

year = "2006",

doi = "10.1109/ICIA.2006.305744",

language = "English",

pages = "393--397",

note = "2006 IEEE International Conference on Information Acquisition, ICIA 2006 ; Conference date: 20-08-2006 Through 23-08-2006",

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AU - Aoyagi, Seiji

AU - Tanaka, Takaaki

AU - Minami, Mamoru

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N2 - 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.

AB - 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.

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T2 - 2006 IEEE International Conference on Information Acquisition, ICIA 2006

Y2 - 20 August 2006 through 23 August 2006

ER -

Recognition of contact state of four layers arrayed type tactile sensor by using neural network

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