Time-dependent spectral analysis of interactions within groups of walking pedestrians and vertical structural motion using wavelets
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1515
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2017.12.020
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 502
- Volume
- 105
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://doi.org/10.1016/j.ymssp.2017.12.020
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A new approach to quantification of interactions between walking pedestrians and pedestrians and vibrating structures is proposed. First ever set of data is collected allowing synchronisation to be investigated within a group of pedestrians walking on real-life full-scale structure. This allowed emergent patterns in stepping behaviour to be discovered for the first time, e.g. right-side synchronisation bias associated with ocular dominance. This research led to new collaborations with Politecnico di Milano and di Torino and Queen’s University Belfast, and an individual fellowship awarded to Bocian by NAWA - Polish National Agency for Academic Exchange (PPN/PPO/2019/1/00036; equivalent to early-career EPSRC fellowship).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -