Evidence map›Paper›PMID 35271053›Full record

ArticleSensors (Basel, Switzerland)2022

A Novel Prototype for Safe Driving Using Embedded Smart Box System.

Muhamad Irsan, Rosilah Hassan, Mohammad Khatim Hasan, Meng Chun Lam, Wan Mohd Hirwani Wan Hussain, Anwar Hassan Ibrahim, Amjed Sid Ahmed Mohamed Sid Ahmed

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Muhamad IrsanCenter for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.ORCID 0000-0002-9987-9881
Rosilah HassanCenter for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.ORCID 0000-0003-1348-5804
Mohammad Khatim HasanCenter for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Meng Chun LamCenter for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.ORCID 0000-0002-9435-9473
Wan Mohd Hirwani Wan HussainGraduate School of Business, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Anwar Hassan IbrahimDepartment of Electrical Engineering, College of Engineering, Qassim University, Al-Gassim 51411, Saudi Arabia.
Amjed Sid Ahmed Mohamed Sid AhmedResearch and Innovation Office (RIO), Global College of Engineering and Technology, P.O. Box 2546, CPO Ruwi 112, Oman.ORCID 0000-0003-1236-1893
National University of Malaysia · MYCaledonian College of Engineering · OMQassim University · SA

Funding

National University of Malaysia DCP-2017-020/2
6 · The paper itself

Abstract

Every day, vehicle accidents occur and many of them might be avoided if the drivers demonstrated excellent driving without mistakes. This paper presents a novel prototype applied in a real transportation system, particularly for buses, to avoid accidents, which may involve numerous victims, and even occasionally cause death. This system consists of a wearable device and embedded system with several sensors connected via Bluetooth, similar to the Internet of Things (IoT). Wearable devices are made to monitor the driver's heart rate and alert the driver if they are in a state of sleep deprivation to prevent any potential accidents. The embedded system includes a Global Positioning System (GPS), accelerometers, and gyroscopes attached to a Smart Box mounted on the bus. The embedded system alert function will be triggered if an accident occurs and automatically sends the geolocation of the accident to the registered phone number through a message using a mobile phone. The results for all scenarios were significant when measured by an automatic accident trigger via the smart box if the value of measured values in each axis exceeded 583. In conclusion, the implementation of this innovative solution at the system-level was shown to be satisfactory in terms of the safety mechanism used by the nominated drivers.

Indexed as

Automobile DrivingWearable Electronic DevicesAccidents, TrafficHumansMotor VehiclesSleep Deprivationembedded systemGPSsmart drivervehicle safetywearable device

Identifiers

PMID35271053
PMCPMC8914743
OpenAlexW4214843104

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.