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    <subfield code="a">Salma Yaakub,</subfield>
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    <subfield code="a">Development of low cost autonomous wheelchair using gps for outdoor purposes /</subfield>
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    <subfield code="a">Faculty of Electrical &amp; Electronics Engineering</subfield>
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    <subfield code="a">Electric wheelchair has been widely used to facilitate and  minimize  the user&#x2019;s effort to  move independently. Users prefer to control the movement of the wheelchair on their  own without any assistance. Although electric wheelchairs are considered a good solution  to minimise the effort in independently moving the wheelchair, but unfortunately, electric  wheelchairs  are  expensive  in  Malaysia.  Moreover,  most  of  the  available  electric  wheelchairs in the market use only the joystick as control device. However, the joystick  is not suitable for most cases. For example, blind users, users with mental disorders or  with both hands paralyzed, are unable to hold and control the joystick. Such users still  need to be assisted by others. However, other people will not always be available to help  due to any constraints. Using other means of control devices may partially solve the issues  but  may  not  be  entirely  resolved.  Therefore,  wheelchair  needs  some  improvement  utilising  smarter  and  low  cost  control  system  that  can  resolve  some  critical  cases  for  example the users that are unable to use both their hands and legs. This research main  focuses on developing a control system to allow wheelchairs to move autonomously from  one point to another using Global Positioning  System (GPS) while saving the cost to  make it affordable for the users. The main problem in building an autonomous system is  the accuracy and consistency of GPS reading. To solve that problem a simple algorithm  is developed to improve the accuracy in positioning and path planning for the wheelchair.  The  averaging  technique  was  applied  in  positioning  to  improve  the  accuracy  and  consistency  of  the  GPS  reading.  The  GPS  positioning  becomes  more  accurate  as  the  averaging technique reduced the GPS reading to two  consistent readings instead of five  different readings. In terms of accuracy, the distance between the actual point and the  GPS measured point had decreased from 4 meters to only 3 meters. The stop angle was  adjusted by changing the setting for the stop angle&#x2019;s constant because the wheelchair does  not immediately stop at the desired turning point due to the Law of Inertia. The value of  that  constant  has  to  be  experimentally  set  according  to  error  in  turning  angle.  The  suggested solution is by integrating rotary encoder with the compass. The constant kp=  60 pulses was applied in straight movement correction, and can be seen that the wheels  always trying to balance each other. Experiments have been conducted to test the ability  of  the  system  and  fulfil  the  task  of  reaching  a  pre-stated  destination  accurately.  This  wheelchair can be used for outdoor movement as the GPS is more accurate outside of the  building. For instance, the users want to go to the nearest clinic or park within 1 kilometre  from their home. This will save time as they don&#x2019;t need to wait to seek for assistance</subfield>
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