Aware-D: Voice recognition-based driving awareness detection

Phanama, Yudi Andrean; Duthoit, Cecile; Sari, Riri Fitri

doi:10.1109/apcc.2016.7581418

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…They proposed a five-layer context-aware architecture and used a probabilistic model based on dynamic Bayesian networks (DBNs) in real time. In addition, Pharnama et al [13] also proposed a system to detect driver's awareness when under the influence of alcohol. The approach involved a program installed on smartphones which evaluate driver's awareness via questioning and assessing the driver's answers with voice recognition before and during driving.…”

Section: Related Studiesmentioning

confidence: 99%

“…While [11] requires the automatic control of the care if high alcohol is detected on the body, [6], [7] and [10] proposed a system that activate an alarm and alert nearby police. Accordingly, [12] only warn other drivers on the same road to be cautious to avoid accident and [13] alert the driver and any chosen contact using SMS. However, the approach in this paper is based on both monitoring of alcohol concentration and over-speeding in real-time on the roads to avoid accidents occurring by automatically alerting traffic personnel.…”

Section: Related Studiesmentioning

confidence: 99%

“…This is because driving under the influence of alcohol leads to decline of perception, recognition, and even vehicle control which results to unanticipated traffic crash on the roads [6]. Today, drink driving has been considered as one of the leading causes of traffic accidents globally [1][3][4] [13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-time Monitoring and Detection of Drinkdriving and Vehicle Over-speeding

Isong¹,

Khutsoane²,

Dladlu³

2017

IJIGSP

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Abstract-Drink-driving and over-speeding of vehicles are the major causes of injuries and deaths on the road globally and South Africa (SA) is not an exception. Different systems which are currently used in detecting high alcohol concentration in drivers' breath and detecting vehicles that exceeds stipulated speed limit are not effective, efficient and poses health risks to traffic personnel. In an attempt to provide effective solutions to these challenges, this paper proposed a smart transportation system for real-time detection of drinkdriving and over-speeding on the roads using technology of vehicular networks. The objective is to allow for early intervention by traffic personnel aim at saving lives before actual accident occurred. We designed a theoretical framework of the system and implemented an application prototype which is web-based for use by traffic personnel to monitor the detection of traffic offenders in the capacity of drink-driving and overspeeding. We presented and discussed the operation of the system as well as the functionalities it offers. Additionally, we utilized the application to simulate the actual system and based on its working, we found that the system is feasible and can accomplish the tasks of road safety more effective than the existing approaches.

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Section: Related Studiesmentioning

confidence: 99%