Presentation 2021-01-21
Work element estimation based on work sound in warehouse
Koki Nozaki, Toshimasa Aso, Hisayuki Kurokawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes work element estimation based on work sound and its performance evaluation.The proposal method classifies packing work into walking, handling a vinyl package, handling paper cushioning material, cutting a cardboard box, and the other. Proposal method calculates the degree of similarity on basis of work sound for a few seconds gotten by a smart watch. Results show that the accuracy rate is approximately 83% and the average error rate is approximately 4%. Therefore, this proposal method is useful for work element estimation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) warehouse work / work measurement / work sound / smart watch / smartphone
Paper # ICM2020-35,LOIS2020-23
Date of Issue 2021-01-14 (ICM, LOIS)

Conference Information
Committee ICM / LOIS
Conference Date 2021/1/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc.
Chair Kazuhiko Kinoshita(Tokushima Univ.) / Toru Kobayashi(Nagasaki Univ.)
Vice Chair Yoichi Sato(OSL) / Haruo Ooishi(NTT) / Hiroyuki Toda(NTT)
Secretary Yoichi Sato(NTT) / Haruo Ooishi(Bosco) / Hiroyuki Toda(NTT)
Assistant Tetsuya Uchiumi(Fujitsu Lab.) / Shigeru Fujimura(NTT)

Paper Information
Registration To Technical Committee on Information and Communication Management / 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) Work element estimation based on work sound in warehouse
Sub Title (in English)
Keyword(1) warehouse work
Keyword(2) work measurement
Keyword(3) work sound
Keyword(4) smart watch
Keyword(5) smartphone
1st Author's Name Koki Nozaki
1st Author's Affiliation Tokyo University of Marine Science and Technology(Tokyo Univ. of Marine Science and Technology)
2nd Author's Name Toshimasa Aso
2nd Author's Affiliation Tokyo University of Marine Science and Technology(Tokyo Univ. of Marine Science and Technology)
3rd Author's Name Hisayuki Kurokawa
3rd Author's Affiliation Tokyo University of Marine Science and Technology(Tokyo Univ. of Marine Science and Technology)
Date 2021-01-21
Paper # ICM2020-35,LOIS2020-23
Volume (vol) vol.120
Number (no) ICM-323,LOIS-324
Page pp.pp.5-9(ICM), pp.5-9(LOIS),
#Pages 5
Date of Issue 2021-01-14 (ICM, LOIS)