Presentation 2017-03-02
Picking and Walk on Warehouse Work Probe System
Sayoko Araki, Nanami Ikeda, Toshimasa Aso,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes an education support system for picking and investigation of walk discriminant on warehouse work probe system. First, the education support system is proposed to alert to dangerous working posture instantly. The experimental results show that its success rate is over 90%. The questionnaire result shows high scores. These results mean this system is high feasibility. Second, a smartwatch’s application for work probing is constructed. Investigation on three walks is carried out to discriminate between a normal walk, a walk holding goods and a walk pressing a cart. Experimental results show that a discriminant success rate in using only smartwatch’s data is very higher than that rate in using only smartphone’s data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Warehouse Work Probe / Education Support / Walk Discriminant
Paper # LOIS2016-74
Date of Issue 2017-02-23 (LOIS)

Conference Information
Committee LOIS
Conference Date 2017/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) N.Ohama Memorial Hall
Topics (in Japanese) (See Japanese page)
Topics (in English) Nobumoto Ohama Memorial Hall
Chair Hiroyuki Nishi(Sojo Univ.)
Vice Chair Tomohiro Yamada(NTT)
Secretary Tomohiro Yamada(NTT)
Assistant Yukihiro Nakamura(NTT)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Picking and Walk on Warehouse Work Probe System
Sub Title (in English)
Keyword(1) Warehouse Work Probe
Keyword(2) Education Support
Keyword(3) Walk Discriminant
1st Author's Name Sayoko Araki
1st Author's Affiliation Tokyo University of Marine Science and Technology(Tokyo Univ. of Marine Science and Technology)
2nd Author's Name Nanami Ikeda
2nd Author's Affiliation Tokyo University of Marine Science and Technology(Tokyo Univ. of Marine Science and Technology)
3rd Author's Name Toshimasa Aso
3rd Author's Affiliation Tokyo University of Marine Science and Technology(Tokyo Univ. of Marine Science and Technology)
Date 2017-03-02
Paper # LOIS2016-74
Volume (vol) vol.116
Number (no) LOIS-488
Page pp.pp.69-74(LOIS),
#Pages 6
Date of Issue 2017-02-23 (LOIS)