Clarys Warre, Vallet Oscar, Verstockt Jan, Zhang Hai, Verspeek Simon, Steenackers Gunther
InViLab Research Group, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp, Belgium.
Computer Vision and Systems Laboratory (CVSL), Department of Electrical and Computer Engineering, Laval University, Quebec, QC G1V 0A6, Canada.
Sensors (Basel). 2025 Apr 8;25(8):2356. doi: 10.3390/s25082356.
Cycling comfort significantly impacts both enjoyment and performance, with discomfort potentially leading to injuries. Traditional bike-fitting methods, while effective for biomechanical adjustments, often overlook physiological responses such as pressure distribution and asymmetry. Infrared thermography (IRT), a non-invasive technique analyzing surface temperature variations, offers the potential to enhance bike fitting by identifying pressure points, asymmetries, and discomfort zones. This review evaluates the application of IRT in bike fitting, highlighting its ability to provide objective, real-time insights into cyclist comfort and injury prevention. However, limitations such as variability in thermographic protocols and the lack of standardized methodologies necessitate further research. By addressing these gaps, IRT could transform bike fitting into a more precise, personalized, and effective practice for cyclists across all levels.
骑行舒适度对骑行的愉悦感和表现都有显著影响，不适可能会导致受伤。传统的自行车调校方法虽然在生物力学调整方面有效，但往往忽视了诸如压力分布和不对称性等生理反应。红外热成像（IRT）是一种分析表面温度变化的非侵入性技术，它有潜力通过识别压力点、不对称性和不适区域来改进自行车调校。本综述评估了IRT在自行车调校中的应用，强调了其为骑行者舒适度和预防损伤提供客观、实时见解的能力。然而，热成像协议的变异性和缺乏标准化方法等局限性需要进一步研究。通过弥补这些差距，IRT可以将自行车调校转变为一种对所有水平的骑行者来说更精确、个性化且有效的做法。
