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  • 标题:Artificial Intelligence Algorithm for Autonomous Movement of a Smart Wheelchair
  • 本地全文:下载
  • 作者:Mauricio Plaza Torres ; Fredy David Bernal Castillo
  • 期刊名称:Research Journal of Applied Sciences
  • 印刷版ISSN:1815-932X
  • 电子版ISSN:1993-6079
  • 出版年度:2018
  • 卷号:13
  • 期号:9
  • 页码:552-558
  • DOI:10.3923/rjasci.2018.552.558
  • 语种:English
  • 出版社:Medwell Journals
  • 摘要:Nowadays there are many engineering applications in the medical field, including pathologydiagnostic systems, magnetic resonance imaging, physiological signal monitoring system, upper and lower limbprostheses and orthoses, all these developments aim to improve the quality of life of the human beings. Thepresent document shows the development of an artificial intelligence genetic algorithm through which thetrajectories of a smart wheelchair in a known environment are planned, to transfer a patient with upper and lowerlimb mobility problems or with spinal cord injury. The device assists him in his movement from a starting pointto a goal point to which the user wants to arrive. The trajectory generator algorithm was developed in MATLABSoftware, in addition to finding the shortest possible route between the two points, implements a safetyfunction that influence in final decision of the trajectory to be performed in order to prevent collisions withobstacles that can be avoided by the wheelchair but possibly have contact with parts of the patient's body thatare outside it. With the generation of the recursion algorithm, the processing times for obtaining trajectorieswere improved for the recursion algorithm the average time taken to find a point of a feasible trajectoryis 0.085 sec while for the algorithm without recursion is 0.168 sec.
  • 关键词:Artificial intelligence;algorithms;wheelchairs;spinal cord injuries;software;genetic variety
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