Study of Mechanized Recognition of Driver’s Smartphone Exploiting Common Vehicle-Riding Actions

Yaswanth, K. K.; Manda, Rajasekhar; Nandan, Durgesh

doi:10.1007/978-981-15-4851-2_11

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Yaswanth et al [115] consider a sequence of actions that trigger the identification of smartphone detectors as follows: walking-standing-entering-seated-engine starts. The following detectors are used: entering direction classifier (EDC), walking and standing detector (WSD), entrance detector (ETD), seated row classifier (SRC), and smartphone position classifier (SPC).…”

Section: Author-centric Analysis: Summary Of Individual Resultsmentioning

confidence: 99%

Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review

Papatheocharous,

Kaiser,

Moser

et al. 2023

Sensors

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Driver behaviour monitoring is a broad area of research, with a variety of methods and approaches. Distraction from the use of electronic devices, such as smartphones for texting or talking on the phone, is one of the leading causes of vehicle accidents. With the increasing number of sensors available in vehicles, there is an abundance of data available to monitor driver behaviour, but it has only been available to vehicle manufacturers and, to a limited extent, through proprietary solutions. Recently, research and practice have shifted the paradigm to the use of smartphones for driver monitoring and have fuelled efforts to support driving safety. This systematic review paper extends a preliminary, previously carried out author-centric literature review on smartphone-based driver monitoring approaches using snowballing search methods to illustrate the opportunities in using smartphones for driver distraction detection. Specifically, the paper reviews smartphone-based approaches to distracted driving behaviour detection, the smartphone sensors and detection methods applied, and the results obtained.

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Section: Author-centric Analysis: Summary Of Individual Resultsmentioning

confidence: 99%