Ambient intelligence in systems to support wellbeing of drivers

Ahmed, Nova, Rony, Rahat Jahangir, Mushfique, Md. Tanvir, Rahman, Md. Majedur, Tahsin, Nur E. Saba, Azad, Sarika, Raiyan, Sheikh, Al Hasan, Shahed, Khan, Syeda Shabnam, D'Costa, Partho Anthony and Rahman, Saad Azmeen Ur Mahmood, Zaigham, ed. 2019. Ambient intelligence in systems to support wellbeing of drivers. Computer Communications and Networks, Springer Nature. 10.1007/978-3-030-04173-1_10

Full text not available from this repository.

Abstract

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.

Item Type:	Book
Book Type:	Edited Book
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Springer Nature
ISBN:	978-3-030-04173-1
ISSN:	1617-7975
Last Modified:	16 Mar 2023 10:34
URI:	https://orca.cardiff.ac.uk/id/eprint/154398

Actions (repository staff only)

Edit Item