Using switching state-space model to identify work states based on movement data

Xincong Yang; Heng Li; Fenglai Wang; Xiaochun Luo; Dongping Cao

doi:10.1007/978-981-10-6190-5_136

Using switching state-space model to identify work states based on movement data

Xincong Yang
, Heng Li^*
, Fenglai Wang
, Xiaochun Luo
, Dongping Cao

^*Corresponding author for this work

Hong Kong Polytechnic University
School of Civil Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate
Editors	K.W. Chau, Isabelle Y.S. Chan, Weisheng Lu, Chris Webster
Publisher	Springer
Pages	1547-1558
Number of pages	12
ISBN (Print)	9789811061899
DOIs	https://doi.org/10.1007/978-981-10-6190-5_136
State	Published - 2018
Externally published	Yes
Event	21st International Conference on Advancement of Construction Management and Real Estate, CRIOCM 2016 - Kowloon, Hong Kong Duration: 14 Dec 2016 → 17 Dec 2016

Publication series

Name	Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016
Volume	0

Conference

Conference	21st International Conference on Advancement of Construction Management and Real Estate, CRIOCM 2016
Country/Territory	Hong Kong
City	Kowloon
Period	14/12/16 → 17/12/16

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10.1007/978-981-10-6190-5_136

Cite this

Yang, X., Li, H., Wang, F., Luo, X., & Cao, D. (2018). Using switching state-space model to identify work states based on movement data. In K. W. Chau, I. Y. S. Chan, W. Lu, & C. Webster (Eds.), Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate (pp. 1547-1558). (Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016; Vol. 0). Springer. https://doi.org/10.1007/978-981-10-6190-5_136

Yang, Xincong ; Li, Heng ; Wang, Fenglai et al. / Using switching state-space model to identify work states based on movement data. Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. editor / K.W. Chau ; Isabelle Y.S. Chan ; Weisheng Lu ; Chris Webster. Springer, 2018. pp. 1547-1558 (Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016).

@inproceedings{832b44a6dadb4c32afe75816135171b4,

title = "Using switching state-space model to identify work states based on movement data",

author = "Xincong Yang and Heng Li and Fenglai Wang and Xiaochun Luo and Dongping Cao",

year = "2018",

doi = "10.1007/978-981-10-6190-5\_136",

language = "英语",

isbn = "9789811061899",

series = "Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016",

publisher = "Springer",

pages = "1547--1558",

editor = "K.W. Chau and Chan, \{Isabelle Y.S.\} and Weisheng Lu and Chris Webster",

booktitle = "Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate",

address = "德国",

note = "21st International Conference on Advancement of Construction Management and Real Estate, CRIOCM 2016 ; Conference date: 14-12-2016 Through 17-12-2016",

}

Yang, X, Li, H, Wang, F, Luo, X & Cao, D 2018, Using switching state-space model to identify work states based on movement data. in KW Chau, IYS Chan, W Lu & C Webster (eds), Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016, vol. 0, Springer, pp. 1547-1558, 21st International Conference on Advancement of Construction Management and Real Estate, CRIOCM 2016, Kowloon, Hong Kong, 14/12/16. https://doi.org/10.1007/978-981-10-6190-5_136

Using switching state-space model to identify work states based on movement data. / Yang, Xincong; Li, Heng; Wang, Fenglai et al.
Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. ed. / K.W. Chau; Isabelle Y.S. Chan; Weisheng Lu; Chris Webster. Springer, 2018. p. 1547-1558 (Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using switching state-space model to identify work states based on movement data

AU - Yang, Xincong

AU - Li, Heng

AU - Wang, Fenglai

AU - Luo, Xiaochun

AU - Cao, Dongping

PY - 2018

Y1 - 2018

UR - https://www.scopus.com/pages/publications/85044179884

U2 - 10.1007/978-981-10-6190-5_136

DO - 10.1007/978-981-10-6190-5_136

M3 - 会议稿件

AN - SCOPUS:85044179884

SN - 9789811061899

T3 - Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016

SP - 1547

EP - 1558

BT - Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate

A2 - Chau, K.W.

A2 - Chan, Isabelle Y.S.

A2 - Lu, Weisheng

A2 - Webster, Chris

PB - Springer

T2 - 21st International Conference on Advancement of Construction Management and Real Estate, CRIOCM 2016

Y2 - 14 December 2016 through 17 December 2016

ER -

Yang X, Li H, Wang F, Luo X, Cao D. Using switching state-space model to identify work states based on movement data. In Chau KW, Chan IYS, Lu W, Webster C, editors, Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. Springer. 2018. p. 1547-1558. (Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016). doi: 10.1007/978-981-10-6190-5_136

Using switching state-space model to identify work states based on movement data

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