The development of E-unicycle braking system by using voice recognition command

Muhammad Arif, Nurul Akmaliah (2019) The development of E-unicycle braking system by using voice recognition command. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) The development of e-unicycle braking system by using voice recognition command 24.pdf - Submitted Version Download (4MB)
	Text (Full Text) The development of e-unicycle braking system by using voice recognition command.pdf - Submitted Version Restricted to Repository staff only Download (22MB)

Abstract

Recently many of researcher and inventor develop a single transportation system such as Segway PT, hoverboard and self-balancing unicycle. This project presents the development of electric unicycle braking system namely E-unicycle braking system prototype. This project is to develop the smart braking system by using 'voice recognition command. The current self-balancing unicycle braking system is control by the rider themselves which they need to control the braking system by straightening and balance their body to slow down the unicycle until it stop. It is hard to stop when the rider is in panic situation, thus the rider might have collided with something or bump into someone. Injury can have happened if the rider cannot control the braking system. The braking system by using voice recognition help to increase the safety of the braking system by using voice command. The command is given by the rider through microphone and the signal is send to the voice recognition module to process and recognize the voice. The data then is send to the microcontroller and the microcontroller process the data and send directly to the motor and activate the braking system. The system is divided into two main part which is electrical part and electronic part. For the electrical part it consists one motor for actuator, one wheel, and power supply. The electronic part is consisting of microcontroller, voice recognition device, motor and motor driver for the emergency braking system uses. A microcontroller is used to execute all command that received from the voice recognition system. The test for voice recognition has shown that the voice

Actions (login required)

View Item