@inproceedings{,
    author = {Hein, Oliver; Dietz, Felix; Pfleging, Bastian; Alt, Florian},
    title = {BikECG - A VR Bicycle Simulator Concept that Integrates Physiological Data and Tele-Cycling},
    editor = {},
    booktitle = {CHI Workshop "CyclingHCI" (2024, Honolulu, HI)},
    series = {},
    journal = {},
    address = {},
    publisher = {},
    edition = {},
    year = {2024},
    isbn = {},
    volume = {},
    number =  {},
    pages = {},
    url = {https://www.unibw.de/usable-security-and-privacy/publikationen/pdf/hein2024chiea.pdf},
    doi = {},
    keywords = {},
    abstract = {Different fitness levels during group cycling tours pose a challenge and have a negative impact on fairness, motivation and inclusivity within the cycling community. To solve this problem, we present a novel, physiology-adaptive Virtual Reality (VR) bike simulator concept. Using a road bike mounted on a Wahoo KICKR Smart Trainer and a Varjo XR-3 HMD, we implemented a VR bicycle simulator using Python and Unity 3D. Real-time ECG data acquisition via a Polar H10 chest strap enhances adaptive capabilities and provides a versatile framework for investigating the dynamic relationship between virtual experiences and physiological responses. This collaborative project, involving two universities, aims to explore tele-cycling and physiologically adaptive scenarios, with a second simulator under construction to expand the possibilities. The integration of real-time physiological monitoring improves the adaptability of the simulation, making it a valuable tool for studying human responses in VR-based cycling scenarios.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Informatik, INF 5 - Institut für Anwendungssicherheit, Professur: Alt, Florian},
    
    
}