Quasi autonomous fuzzy logic controlled wheelchair for quadriplegic persons

Date of Publication

2014

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Alexander C. Abad

Defense Panel Chair

Ann E. Dulay

Defense Panel Member

Miguel O. Gutierrez
Jay Robert B. Del Rosario

Abstract/Summary

Automated wheelchairs are classified as medical equipment and which undergo a lot of technological advancement nowadays. To cater specific purposes depending on the patients condition. The most common innovation includes the use of PC, the addition of an obstacle detection feature, the implementation of biometrics, etc. With this, the group designed a microcontroller-based automated wheelchair for quadriplegic persons which moves in accordance to the tilting of the head with an obstacle detection feature to provide safety measures for the user.

The system used an accelerometer as the sensor for the tilting of the head, mounted on top of a headgear. The obstacle detection is implemented by placing infrared sensors at the sides and at the back of the wheelchair which restricts certain movements of the wheelchair prior to which sensor is triggered to prevent the wheelchair from any accident. All sensors are processed by a PIC16F877A microcontroller which then instructs the direction of movement of the wheelchair by controlling a set of relays for the motors.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU18761

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1v. (various foliations) : illustrations (some colored) ; 28 cm.

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