Contactless recognition technology of pedestrian lateral excitation based on dual perspective of mediapipe

Abstract

The remarkable lateral oscillatory occurrences observed in renowned footbridges, such as the Solferino Bridge in France, the Millennium Bridge in the UK, and the Oda Bridge in Japan, have garnered widespread attention. The intricate nature of pedestrian-induced lateral vibrations necessitates a comprehensive investigation into their underlying mechanisms, with the crux lying in the identification of the lateral excitation model. Presently, most prevailing detection approaches predominantly rely on contact-based equipment, such as force sensors and displacement sensors. However, these approaches suffer from two main drawbacks. Firstly, contact measurement necessitate a substantial number of sensors and entail higher experimental costs. Secondly, when extending contact-based measurements to accommodate multiple individuals, complications arise, including cumbersome installation, heightened technical complexity, and escalated experimental costs. Therefore, we present a novel approach, based on visual technology, to expeditiously recognize the lateral excitation induced by pedestrians. Termed the Dual Perspective of Mediapipe (DPM), this method harnesses the power of Mediapipe, coupled with dual camera models, to precisely unravel pedestrian gait particulars and lateral forces. The efficacy of the proposed approach is validated through a comparative analysis with existing pedestrian gait data. It is noteworthy that this approach offers significant advantages: non-contact with the test pedestrians, thereby ensuring the accuracy of gait information; convenient and straightforward arrangement of measurement equipment; and low experimental costs.