Assistance systems for children using bikes


Mobility is an important factor in everyday life. Human-Machine-Interaction can improve the reliability, safety and comfort in beeing mobile in this case by using bikes. Cyclists like children, young teenagers and elderly as well are vulnerable road users because of the limited protection on a bike. Furthermore, children and young teenagers are sometimes too inexperienced to realize traffic situations appropriately.

Research objectives

The goal of the "Safety4Bikes" project is to develop a modularizied assistence system for bikes. These modules should detect risky and may predict hazardous situations. Once the situation is detected an audible, optical or haptic feedback will be given to the cyclist. This can be done by using actuators on the bike or helmet. The research objective is to develop the right form of feedback and additionally the communication between bikes and other road users. Finally, this should lead to a improved safety. Using the developed technologies, the bike in conjunction with a helmet and smartphone of the cyclist will predict hazardous situations and teach kids and young teenagers in traffic behaviour.

The research and development tasks focused on the development of sensors and actuators for the bike and cyclist. Additionally, the modularization of the sensors and actuators will be focused. Based on a set of exemplary hazardous situations the needed parameters for detection and prediction will be discussed and evolved with the other project partners. Suitability of sensors for biking scenarions based on power requirements, precission and ruggedness was investigated. The selected sensors and actuators were modularized and supplied via an independent power supply, so that the modules are easily attachable and dettachable to the bike. Each module has it's own processing chain to obtain required information based on sensor data. A similar procedure was applied for the detection of the cyclist's behaviour. This is achieved by using sensors like accelerometers, gyroscopes and compasses.


[3] S. Fudickar, R. Kappes, M. Horstmann, M. Isken, A. Hein. Cycling Monitoring System - Sensing Cycling Performance via a Pedal-Integrated IMU. Nanomaterials and Energy. 2020;9(1):1–6. [bibtex] [file] [doi]
[2] R. Kappes, S. Fudickar, J. Deiters. Safety4Bikes : Assistance Systems for Cycling Children to Increase Safety. In: International Cycling Safety Conference - Abstract Book. 2019:71. [bibtex] [file]
[1] B. Friedrich, B. Cauchi, A. Hein, S. Fudickar. Transportation mode classification from smartphone sensors via a long-short-term-memory network. UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. 2019:709–713. [bibtex] [file] [doi]
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Cooperation / Funding

The project "Safety4Bikes" was funded by the "Bundesministerium für Bildung und Forschung" - BMBF - from 01/2017 to 12/2019.


  • GeoMobile GmbH, Dortmund
  • Gesellschaft für empirische soziologische Forschung e. V., Nürnberg
  • OFFIS e. V., Oldenburg
  • UVEX SPORTS GROUP GmbH & Co. KG, Fürth
  • Universität Paderborn
  • Valtech GmbH, Düsseldorf
  • PFAU Tec GmbH, Quakenbrück