Speech Synthesis and Recognition
Speech Synthesis and Recognition
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
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Motivated by the existing models of wind and earthquake loading, speech recognition techniques and a method of replicating electrocardiogram (ECG) signals, this paper presents a mathematical model to generate synthetic narrow band lateral force signals due to individuals walking. The model is fitted to a database comprising many directly measured walking time series, yielding a random approach to generating their artificial - yet realistic counterparts. This multi-disciplinary modelling strategy offers a radical departure from traditional Fourier-based representations of lateral walking loads towards more reliable and more realistic vibration serviceability assessment of footbridges.