Out of Position Driver Monitoring from Seat Pressure in Dynamic Maneuvers

  • Alberto VergnanoEmail author
  • Francesco Leali
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)


An airbag system is designed to reduce the accident outcome on the car occupants. The airbags deployment against manikins is severely tested according to international regulations. The accident scenarios with Out of Position (OP) occupants are critical since they can be hardly expected during design. The airbag deployment in these scenarios can be improved by developing adaptive strategies, provided that the Airbag Control Unit must be aware of the actual occupant position. The present research investigates a sensor system to monitor the occupants in an interactive Human-Car system. The driver position is monitored by pressure sensors, while an accelerometer enables to compensate for acceleration and noise. Real driving experiments in dynamic conditions are reported. The results prove that three OP conditions are effectively identified.


Out of position Driver monitoring Intelligent vehicle Safety system Driving experiment 


  1. 1.
    Potula, S.R., Solanki, K.N., Oglesby, D.L., Tschopp, M.A., Bhatia, M.A.: Investigating occupant safety through simulating the interaction between side curtain airbag deployment and an out-of-position occupant. Accid. Anal. Prev. 49, 392–403 (2012)CrossRefGoogle Scholar
  2. 2.
    Recommended Procedures for Evaluating Occupant Injury Risk from Deploying Airbags. The Side Airbag Out-of-Position Injury Technical Working Group. Alliance, AIAM, AORC, and IIHS (2003)Google Scholar
  3. 3.
    Mon, Y.J.: Airbag controller designed by Adaptive-Network-Based Fuzzy Inference System (ANFIS). Fuzzy Sets Syst. 158(24), 2706–2714 (2007)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Ryan, S.: An innovative approach to adaptive airbag modules. SAE Technical Paper 980646 (1998)Google Scholar
  5. 5.
    Depottey, T.A., Schneider, D.W.: Airbag cushion with adaptive venting for reduced out-of-position effects. U.S. Patent 7,261,319, (2007)Google Scholar
  6. 6.
    Farmer, M.E., Jain, A.K.: Occupant classification system for automotive airbag suppression. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition 1, pp. I-I. Washington (2003)Google Scholar
  7. 7.
    Yang, J., Håland, Y.: Modeling of adaptive passenger airbag systems in car frontal crashes. In: International Technical Conference on the Enhanced Safety of Vehicles 1996, pp. 486–501. Melbourne (1996)Google Scholar
  8. 8.
    Borghi, G., Venturelli, M., Vezzani, R., Cucchiara, R.: Poseidon: Face-from-depth for driver pose estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5494–5503, Honolulu (2017)Google Scholar
  9. 9.
    Andreoni, G., Santambrogio, G.C., Rabuffetti, M., Pedotti, A.: Method for the analysis of posture and interface pressure of car drivers. Appl. Ergon. 33(6), 511–522 (2002)CrossRefGoogle Scholar
  10. 10.
    Vergnano, A., Leali, F.: Monitoring driver posture through sensorized seat. In: 1st International Conference on Human Systems Engineering and Design: Future Trends and Applications, Reims (2018)Google Scholar
  11. 11.
    Modena Automotive Smart Area,

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Engineering Enzo FerrariUniversity of Modena and Reggio EmiliaModenaItaly

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