Mutalib, Muhammad Irham Adlin (2020) Smart helmet using heartbeat sensor to prevent drowsiness for motorcycle user. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Smart helmet using heartbeat sensor to prevent drowsiness for motorcycle user.pdf - Submitted Version Download (4MB) |
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Smart helmet using heartbeat sensor to prevent drowsiness for motorcycle user.pdf - Submitted Version Restricted to Repository staff only Download (15MB) |
Abstract
Malaysia for a nation that is always aspiring to become a developed country in Southeast Asia, has been ranked as one of the top three countries in the world with the deadliest roads according to the article. According to the data, Malaysia registered a death rate of about 23 per 100,000 population. Riders and motorcyclists are the highest categories of road users contributing to accidents and even death in Malaysia. One of the causes of the accident is the riders are feeling drowsy while riding a motorcycle. To overcome these problems, Smart Helmet with a Heartbeat Sensor to Prevent Drowsiness for Motorcycle User is proposed for this project. This project focused on to prevent drowsiness of the riders by awakes the person if the person is feeling drowsy or the person already in micro sleep condition. The Smart Helmet is detecting the person if they are feeling drowsy by using heartbeat or pulse sensor that is attached to the helmet tie strap. The sensor will measure the BPM of pulse around the rider's neck and threshold the system if the pulse measurement in drowsy state. The ou!Put to prevent drowsiness by using the alarm system. The alarm system is to awakes the person when they are feeling drowsy in the middle of the road.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Pulse, Sensor, Feeling, Heart, Beat, Riders, Drowsiness, Motorcycle, Smart, Alarm, Helmet |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Sabariah Ismail |
Date Deposited: | 13 Mar 2023 06:45 |
Last Modified: | 13 Mar 2023 06:45 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/26811 |
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