Wearable Insole Pressure Sensors for Automated Detection and Classification of Slip-Trip-Loss of Balance Events in Construction Workers-Reference-Cited by-同舟云学术

Wearable Insole Pressure Sensors for Automated Detection and Classification of Slip-Trip-Loss of Balance Events in Construction Workers

Published:2018-03-29 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2018
language:
Short-container-title:

Author:

Antwi-Afari Maxwell Fordjour¹²³⁴⁵,Li Heng¹²³⁴⁵,Seo JoonOh¹²³⁴⁵,Lee SangHyun¹²³⁴⁵,Edwards David John¹²³⁴⁵,Lok Wong Arnold Yu¹²³⁴⁵

Affiliation:

1. Ph.D. Student, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Room No. ZN1002, Hung Hom, Kowloon, Hong Kong SAR.

2. Chair Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Room No. ZS734, Hung Hom, Kowloon, Hong Kong SAR.

3. Assistant Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Room No. ZN737, Hung Hom, Kowloon, Hong Kong SAR.

4. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109.

5. Chair Professor, Faculty of Computing, Engineering and the Built Environment, Birmingham City Univ., Birmingham B4 7BD, U.K.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784481288.008

Reference21 articles.

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4. Best R. and Begg R. (2006). "Overview of movement analysis and gait features." In Computational Intelligence for Movement Sciences: Neural Networks & other Emerging Techniques 1 st Ed. Idea Group: Atlanta GA USA 1-69.

5. Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers;Cawley G. C.;Pattern Recognition,2003

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