Ambient Intelligence in Systems to Support Wellbeing of Drivers

  • Nova AhmedEmail author
  • Rahat Jahangir Rony
  • Md. Tanvir Mushfique
  • Md. Majedur Rahman
  • Nur E. Saba Tahsin
  • Sarika Azad
  • Sheikh Raiyan
  • Shahed Al Hasan
  • Syeda Shabnam Khan
  • Partho Anthony D’Costa
  • Saad Azmeen Ur Rahman
Part of the Computer Communications and Networks book series (CCN)


The possibilities of ambient intelligence in the healthcare sector are multifaceted, ranging from supporting physical to mental wellbeing in various ways. Ambient intelligence can play an important role in supporting emotional wellbeing and reducing discomfort. Real-time capability in systems to provide support during discomfort can be useful in scenarios which are traditionally neglected. Absence of concern about wellbeing among commercial vehicle drivers during stressful driving situations may lead to accidents and poor lifestyle. Ambient intelligence can play a role in determining such situations to support the drivers when it is required. The availability of low-cost Internet of Thing (IoT) based components has opened up opportunities in areas where resources are constrained. In the current chapter, the focus is on improving the wellbeing of commercial vehicle drivers in a low-income setting. The chapter focuses on understanding the concepts of discomfort and wellbeing through a detailed qualitative study followed by a possible solution approach to address the ongoing challenges. A low-cost wearable IoT-enabled system along with a long-term analytic support is proposed to improve the wellbeing of drivers using ambient intelligence. The entire system is built up using a connectivity framework. The low-cost IoT device would enable support for discomfort for community who traditionally do not receive such support. Wellbeing of drivers is important for improved driving quality and better traffic management. A system in place to support drivers in real time, named Bap re Bap is presented here in the context of Bangladesh.


Ambient intelligence AmI Resource constraint deployment IoT Low-cost IoT Wellbeing Drivers Bangladesh 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nova Ahmed
    • 1
    Email author
  • Rahat Jahangir Rony
    • 1
  • Md. Tanvir Mushfique
    • 1
  • Md. Majedur Rahman
    • 1
  • Nur E. Saba Tahsin
    • 1
  • Sarika Azad
    • 1
  • Sheikh Raiyan
    • 1
  • Shahed Al Hasan
    • 1
  • Syeda Shabnam Khan
    • 1
  • Partho Anthony D’Costa
    • 1
  • Saad Azmeen Ur Rahman
    • 1
  1. 1.Department of Electrical and Computer EngineeringNorth South UniversityDhakaBangladesh

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