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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Original language	English
Title of host publication	Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate
Editors	Chris Webster, K.W. Chau, Isabelle Y.S. Chan, Weisheng Lu
Publisher	Springer
Pages	1547-1558
Number of pages	12
Edition	209889
ISBN (Print)	9789811061899
DOIs	https://doi.org/10.1007/978-981-10-6190-5_136
Publication status	Published - 1 Jan 2018
Event	21st International Conference on Advancement of Construction Management and Real Estate, CRIOCM 2016 - Kowloon, Hong Kong Duration: 14 Dec 2016 → 17 Dec 2016

Conference

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

ASJC Scopus subject areas

Urban Studies
Architecture
Business and International Management
Strategy and Management
Building and Construction

More information

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

Scopus Link

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 C. Webster, K. W. Chau, I. Y. S. Chan, & W. Lu (Eds.), Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate (209889 ed., pp. 1547-1558). Springer. https://doi.org/10.1007/978-981-10-6190-5_136

Yang, Xincong ; Li, Heng ; Wang, Fenglai ; Luo, Xiaochun ; Cao, Dongping. / 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 / Chris Webster ; K.W. Chau ; Isabelle Y.S. Chan ; Weisheng Lu. 209889. ed. Springer, 2018. pp. 1547-1558

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

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

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

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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 C Webster, KW Chau, IYS Chan & W Lu (eds), Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. 209889 edn, 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; Luo, Xiaochun; Cao, Dongping.

Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. ed. / Chris Webster; K.W. Chau; Isabelle Y.S. Chan; Weisheng Lu. 209889. ed. Springer, 2018. p. 1547-1558.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Li, Heng

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AU - Cao, Dongping

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