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SHelmet: An Intelligent Self-sustaining Multi Sensors Smart Helmet for Bikers

  • Michele MagnoEmail author
  • Angelo D’Aloia
  • Tommaso Polonelli
  • Lorenzo Spadaro
  • Luca Benini
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 205)

Abstract

This paper presents the design of a wearable system to transform a helmet into a smart, multi-sensor connected helmet (SHelmet) to improve motorcycle safety. Low power design and self-sustainability are the key for the usability of our helmet, to avoid frequent battery recharges and dangerous power losses. Hidden in the helmet structure, the designed system is equipped with a dense sensor network including accelerometer, temperature, light, and alcohol gas level, in addition, a Bluetooth low energy module interfaces the device with an on-vehicle IR camera, and eventually the user’s smart phone. To keep the driver focused, the user interface consists of a small non-invasive display combined with a speech recognition system. System architecture is optimized for aggressive power management, featuring an ultra-low power wake-up radio, and fine-grained software-controlled shutdown of all sensing, communication and computing sub-systems. Finally, a multi-source energy harvesting module (solar and kinetic) performs high-efficiency power recovery, improving battery management and achieving self-sustainability. SHelmet supports rich context awareness applications; breath alcohol control; real time vehicle data; sleep and fall detection; data display. Experimental results show that is possible achieve self-sustainability and demonstrate functionality of the developed node.

Keywords

Wearable device Sensors network Energy harvesting Power management 

Notes

Acknowledgements

This work was supported by Texas Instruments during the TI Contest Europe 2016 and ETH Zürich.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Michele Magno
    • 1
    • 2
    Email author
  • Angelo D’Aloia
    • 1
  • Tommaso Polonelli
    • 1
  • Lorenzo Spadaro
    • 1
  • Luca Benini
    • 1
    • 2
  1. 1.DIEUniversità Di BolognaBolognaItaly
  2. 2.D-ITETETH ZürichZürichSwitzerland

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