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Published in: International Journal of Machine Learning and Cybernetics 4/2021

11-11-2020 | Original Article

Automated worker skill evaluation for improving productivity based on labeled LDA

Authors: Kentaro Mori, Hiroshi Nakajima, Yutaka Hata

Published in: International Journal of Machine Learning and Cybernetics | Issue 4/2021

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Abstract

This paper proposed automated systems for analyzing elemental processes and for evaluating work skills. The systems use labeled latent Dirichlet allocation (L-LDA) to classify worker motions obtained from sensors into four elemental processes. L-LDA automatically learns characteristic motions, so there is no need to define and identify motion features. The proposed system predicts elemental processes with over 86.9% recall in experiments using the assembly process data. Analyst burden is greatly reduced as compared to systems requiring manual analysis of elemental processes from recorded task data. The system evaluates worker skills based on analyzed time series data for elemental processes in four categories, namely, correctness, stability, speed, and rhythm. As a result, the evaluation system clarifies workers’ strong and weak points in tasks performed in experiments, providing new knowledge that would be unobtainable under conventional evaluation methods. Manufacturing efficiency can be improved by allocating workers based on their strengths, and training efficiency will be improved when workers’ weak areas are revealed.

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Appendix
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Literature
1.
go back to reference Yilmaz OF, Cevikcan E, Durmusoglu MB (2016) Scheduling batches in multi hybrid cell manufacturing system considering worker resources: a case study from pipeline industry. Adv Prod Eng Manag 2016:192–206 Yilmaz OF, Cevikcan E, Durmusoglu MB (2016) Scheduling batches in multi hybrid cell manufacturing system considering worker resources: a case study from pipeline industry. Adv Prod Eng Manag 2016:192–206
4.
go back to reference Kotake Y, Wang D, Nakajima H (2018) Evaluating worker’s proficiency from body and eye movements in manufacturing operations. In: 2018 Proc. SMC 2018 Conf., pp 1447–1452 Kotake Y, Wang D, Nakajima H (2018) Evaluating worker’s proficiency from body and eye movements in manufacturing operations. In: 2018 Proc. SMC 2018 Conf., pp 1447–1452
5.
go back to reference Ju Z, Liu H, Zhu X, Xiong Y (2009) Dynamic grasp recognition using time clustering, Gaussian mixture models and Hidden Markov models. Adv Robot 23(10):1359–1371CrossRef Ju Z, Liu H, Zhu X, Xiong Y (2009) Dynamic grasp recognition using time clustering, Gaussian mixture models and Hidden Markov models. Adv Robot 23(10):1359–1371CrossRef
6.
go back to reference Ju Z, Ji X, Li J, Liu H (2017) An integrative framework of human hand gesture segmentation for human robot interaction. IEEE Syst J 11(3):1326–1336CrossRef Ju Z, Ji X, Li J, Liu H (2017) An integrative framework of human hand gesture segmentation for human robot interaction. IEEE Syst J 11(3):1326–1336CrossRef
7.
go back to reference Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022MATH Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022MATH
8.
go back to reference Maskeri G, Sarkar S, Heafield K (2008) Mining business topics in source code using latent Dirichlet allocation. In: 2008 Proc. ISEC 2008 Conf., pp 113–120 Maskeri G, Sarkar S, Heafield K (2008) Mining business topics in source code using latent Dirichlet allocation. In: 2008 Proc. ISEC 2008 Conf., pp 113–120
9.
go back to reference Lukins SK, Kraft NA, Etzkorn LH (2008) Source code retrieval for bug localization using latent Dirichlet allocation. In: 2008 Proc. WCRE 2008 Conf., pp 155–164 Lukins SK, Kraft NA, Etzkorn LH (2008) Source code retrieval for bug localization using latent Dirichlet allocation. In: 2008 Proc. WCRE 2008 Conf., pp 155–164
10.
go back to reference Krestel R, Fankhauser P, Nejdl W (2009) Latent dirichlet allocation for tag recommendation. In: 2009 Proc. RecSys 2009 Conf., pp 61–68 Krestel R, Fankhauser P, Nejdl W (2009) Latent dirichlet allocation for tag recommendation. In: 2009 Proc. RecSys 2009 Conf., pp 61–68
11.
go back to reference Perikos I, Hatzilygeroudis I (2017) Aspect based sentiment analysis in social media with classifier ensembles. In: 2017 Proc. ICIS 2017 Conf., pp 273–278 Perikos I, Hatzilygeroudis I (2017) Aspect based sentiment analysis in social media with classifier ensembles. In: 2017 Proc. ICIS 2017 Conf., pp 273–278
12.
go back to reference Shi L, Wu Y, Liu L, Sun X, Jiang L (2018) Event detection and identification of influential spreaders in social media data streams. Big Data Min Anal 1(1):34–46CrossRef Shi L, Wu Y, Liu L, Sun X, Jiang L (2018) Event detection and identification of influential spreaders in social media data streams. Big Data Min Anal 1(1):34–46CrossRef
13.
go back to reference Alhawarat M, Hegazi M (2018) Revisiting K-means and topic modeling, a comparison study to cluster arabic documents. IEEE Access 6:42740–42749CrossRef Alhawarat M, Hegazi M (2018) Revisiting K-means and topic modeling, a comparison study to cluster arabic documents. IEEE Access 6:42740–42749CrossRef
14.
go back to reference Guo Y, Shen X, Ge Q, Wang L (2018) Station function discovery: exploring trip records in urban public bike-sharing system. IEEE Access 6:71060–71068CrossRef Guo Y, Shen X, Ge Q, Wang L (2018) Station function discovery: exploring trip records in urban public bike-sharing system. IEEE Access 6:71060–71068CrossRef
15.
go back to reference Shoja BM, Tabrizi N (2019) Customer reviews analysis with deep neural networks for E-commerce recommender systems. IEEE Access 7:119121–119130CrossRef Shoja BM, Tabrizi N (2019) Customer reviews analysis with deep neural networks for E-commerce recommender systems. IEEE Access 7:119121–119130CrossRef
16.
go back to reference Canimi KR, Shi L, Griffiths TL (2009) Online inference of topics with latent dirichlet allocation. J Mach Learn Res 5:65–72 Canimi KR, Shi L, Griffiths TL (2009) Online inference of topics with latent dirichlet allocation. J Mach Learn Res 5:65–72
17.
go back to reference Putthividhy D, Attias HT, Nagarajan SS (2010) Topic regression multi-modal latent dirichlet allocation for image annotation. In: 2010 Proc. CVPR 2010 Conf., pp 3408–3415 Putthividhy D, Attias HT, Nagarajan SS (2010) Topic regression multi-modal latent dirichlet allocation for image annotation. In: 2010 Proc. CVPR 2010 Conf., pp 3408–3415
18.
go back to reference Hoffman MD, Blei DM, Bach F (2010) Online learning for latent dirichlet allocation. In: 2010 Proc. NIPS 2010 Conf., pp 856–864 Hoffman MD, Blei DM, Bach F (2010) Online learning for latent dirichlet allocation. In: 2010 Proc. NIPS 2010 Conf., pp 856–864
19.
go back to reference Zhao B, Zhou H, Li G, Huang Y (2018) ZenLDA: large-scale topic model training on distributed data-parallel platform. Big Data Min Anal 1(1):57–74CrossRef Zhao B, Zhou H, Li G, Huang Y (2018) ZenLDA: large-scale topic model training on distributed data-parallel platform. Big Data Min Anal 1(1):57–74CrossRef
20.
go back to reference Gao Y, Wei X, Zhang X, Zhuang W (2018) A combinational LDA-based topic model for user interest inference of energy efficient IPTV service in smart building. IEEE Access 6:48921–48933CrossRef Gao Y, Wei X, Zhang X, Zhuang W (2018) A combinational LDA-based topic model for user interest inference of energy efficient IPTV service in smart building. IEEE Access 6:48921–48933CrossRef
21.
go back to reference Yu D, Xu D, Wang D, Ni Z (2019) Hierarchical topic modeling of twitter data for online analytical processing. IEEE Access 7:12373–12385CrossRef Yu D, Xu D, Wang D, Ni Z (2019) Hierarchical topic modeling of twitter data for online analytical processing. IEEE Access 7:12373–12385CrossRef
22.
go back to reference Kanugsukkasem N, Leelanupab T (2019) Financial latent dirichlet allocation (FinLDA): feature extraction in text and data mining for financial time series prediction. IEEE Access 7:71645–71664CrossRef Kanugsukkasem N, Leelanupab T (2019) Financial latent dirichlet allocation (FinLDA): feature extraction in text and data mining for financial time series prediction. IEEE Access 7:71645–71664CrossRef
23.
go back to reference Ramge D, Hall D, Nallapati R, Manning CD (2009) Labeled LDA: a supervised topic model for credit attribution in multi-labeled corpora. In: 2009 Proc. EMNLP’09 Conf., pp 248–256 Ramge D, Hall D, Nallapati R, Manning CD (2009) Labeled LDA: a supervised topic model for credit attribution in multi-labeled corpora. In: 2009 Proc. EMNLP’09 Conf., pp 248–256
24.
go back to reference Kular D, Ribeiro E (2016) Discovering spatio-temporal relationships among activities in videos using a relational topic-transition model. In: 2016 Proc. FLAIRS 2016 Conf., pp. 62–67 Kular D, Ribeiro E (2016) Discovering spatio-temporal relationships among activities in videos using a relational topic-transition model. In: 2016 Proc. FLAIRS 2016 Conf., pp. 62–67
25.
go back to reference Faruquie TA, Kalra PK, Banerjee S (2009) Time based activity inference using latent Dirichlet allocation. In: 2009 Proc. BMVC 2009 Conf Faruquie TA, Kalra PK, Banerjee S (2009) Time based activity inference using latent Dirichlet allocation. In: 2009 Proc. BMVC 2009 Conf
26.
go back to reference Yang S, Yuan C, Hu W, Ding X (2014) A hierarchical model based on latent Dirichlet allocation for action recognition. In: 2014 Proc. ICPR 2014 Conf., pp 2613–2618 Yang S, Yuan C, Hu W, Ding X (2014) A hierarchical model based on latent Dirichlet allocation for action recognition. In: 2014 Proc. ICPR 2014 Conf., pp 2613–2618
27.
go back to reference Niebles JC, Wang H, Fei-Fei L (2008) Unsupervised learning of human action categories using spatial-temporal words. Int J Comput Vis 79(3):299–318CrossRef Niebles JC, Wang H, Fei-Fei L (2008) Unsupervised learning of human action categories using spatial-temporal words. Int J Comput Vis 79(3):299–318CrossRef
28.
go back to reference Li H, Liu J, Zhang S (2011) Hierarchical latent Dirichlet allocation models for realistic action recognition. In: 2011 Proc. ICASSP 2011 Conf., pp 1297–1300 Li H, Liu J, Zhang S (2011) Hierarchical latent Dirichlet allocation models for realistic action recognition. In: 2011 Proc. ICASSP 2011 Conf., pp 1297–1300
29.
go back to reference Mori K, Nakajima H, Kotake Y, Wang D, Hata Y (2018) A relationship between product quality and body information of worker and its application to improvement of productivity. In: 2018 Proc. SMC 2018 Conf., pp 1429–1434 Mori K, Nakajima H, Kotake Y, Wang D, Hata Y (2018) A relationship between product quality and body information of worker and its application to improvement of productivity. In: 2018 Proc. SMC 2018 Conf., pp 1429–1434
30.
go back to reference Mori K, Nakajima H, Kotake Y, Wang D, Hata Y (2019) Automated analyzing system for recognizing the elemental processes based on the labeled LDA. In: 2019 Proc. ICMLC 2019 Conf., pp 278–282 Mori K, Nakajima H, Kotake Y, Wang D, Hata Y (2019) Automated analyzing system for recognizing the elemental processes based on the labeled LDA. In: 2019 Proc. ICMLC 2019 Conf., pp 278–282
31.
go back to reference Mori K, Nakajima H, Kotake Y, Wang D, Hata Y (2019) Automated worker’s skill evaluation system based on the time series elemental processes for improving productivity. In: 2019 Proc. SMC 2019 Conf., pp 1215–1219 Mori K, Nakajima H, Kotake Y, Wang D, Hata Y (2019) Automated worker’s skill evaluation system based on the time series elemental processes for improving productivity. In: 2019 Proc. SMC 2019 Conf., pp 1215–1219
Metadata
Title
Automated worker skill evaluation for improving productivity based on labeled LDA
Authors
Kentaro Mori
Hiroshi Nakajima
Yutaka Hata
Publication date
11-11-2020
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 4/2021
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-020-01226-z

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