Abstract
The general objective of the design was to develop a touchpad controlled Android-based electronic wheelchair. It aimed to construct the Android-based circuitry and program for the path finding mechanism of the drive system and interface the Arduino-based circuit to the electronic wheelchair setup. It was designed to evaluate the system in terms of the speed of the electronic wheelchair, reliability of the sensors to avoid obstacle, and ease of use of the wheelchair. C Programming Language was used by the system to control and manipulate the microcontroller, Gizduino AtMega644. The Android application was programmed using the Java Language and Eclipse as the IDE. Its ports were used to interface input and output devices such as the ultrasonic sensors, infrared proximity sensor, touchpad, Bluetooth module, motor and motor driver. There was a satisfactory rating for the evaluation of the system while the Android software was rated excellent as a navigational controller .
Highlights
The materials used for this study are available in the local market and not more expensive than that of the commercially available electronic wheelchairs.The materials that were used in the project are the following: the manual wheelchair is a standard wheelchair that weighs 20 kg and capable of carrying a maximum load of 120 kg
During the testing and evaluation period, the authors recorded the measurements made from the wheelchair and the participants were given an evaluation form to rate the effectiveness of the electronic wheelchair operation
Once the main switch of the electronic wheelchair is switched on, the battery will start to supply power to the main circuit of the system which consists of Gizduino ATMega644, Hybrid Motor Driver, Bluetooth RxTx Module, regulators, and amplifier
Summary
The design and realization of the mobile application for the Android operating system is focused on manual control of mobile robot using wireless Bluetooth technology [15,16]. In reference to the current innovations mentioned above, this paper presents the design and implementation of a touchpad controlled android -based path finding automated wheelchair intended for physically disabled people. It primarily focuses on the avoidance of obstacles through s ensors and the distance the wheelchair had travelled as indicated by the Android application used. The following materials or components were installed on the manual wheelchair: two wiper motors, battery, battery, capacitive touchpad, two ultrasonic sensors, three IR sensors, and the main circuit. During the testing and evaluation period, the authors recorded the measurements made from the wheelchair and the participants were given an evaluation form to rate the effectiveness of the electronic wheelchair operation
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