Homonoia: When your Car Reads your Mind

Bennakhi, Ahmad; Safar, Maytham; Abdulrasoul, Jafar

doi:10.1016/j.procs.2017.06.134

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Focusing more upon user input, Ahmed et al introduced Homonoia in technology which investigates the driver`s mood using EEG signals and its implementation in future vehicle technology. Their proposed vehicle system linked the user to autonomous components, such that the driver`s brainwave would be factored in for the vehicle control system [11]. Similar research has been seen by Utama et al in 2017 where they used the Neurosky mindwave mobile device to control a wheelchair (figure 2b).…”

Section: New and Exciting Aspectsmentioning

confidence: 75%

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2024

INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMPUTER AND COMM

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Road traffic injury has appeared as a severe problem today, claiming more than 1.25 million lives each year worldwide and draining 3% of the total global GDP. According to the National Highway Transportation Safety Administration, about half a million people got injured in 2014 due to distracted driving related car clashes. In this work, we have considered the brainwave, heart rate and blood pressure level of a distracted driver. Within the various source of distraction (e,g, multitasking, severe weather condition, external sound effects) we monitored the driving behavior through EEG signal. In particular, the alpha, beta, gamma, delta and theta brainwaves have a significant connection with the emotion, stress and other psychological responses. Our EEG data analysis can provide a pathway to detect the physiological condition of distracted drivers and avoid road accidents.

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Section: New and Exciting Aspectsmentioning

confidence: 75%