TY  - JOUR
T1  - Artificial Intelligence Algorithm for Autonomous Movement of a Smart Wheelchair
AU - Plaza Torres, Mauricio AU - Bernal Castillo, Fredy David 
JO  - Research Journal of Applied Sciences
VL  - 13
IS  - 9
SP  - 552
EP  - 558
PY  - 2018
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2018.552.558
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2018.552.558
KW  - Artificial intelligence
KW  -algorithms
KW  -wheelchairs
KW  -spinal cord injuries
KW  -software
KW  -genetic variety
AB  - Nowadays there are many engineering applications in the medical field, including pathology
diagnostic systems, magnetic resonance imaging, physiological signal monitoring system, upper and lower limb
prostheses and orthoses, all these developments aim to improve the quality of life of the human beings. The
present document shows the development of an artificial intelligence genetic algorithm through which the
trajectories of a smart wheelchair in a known environment are planned, to transfer a patient with upper and lower
limb mobility problems or with spinal cord injury. The device assists him in his movement from a starting point
to a goal point to which the user wants to arrive. The trajectory generator algorithm was developed in MATLAB
Software, in addition to finding the shortest possible route between the two points, implements a safety
function that influence in final decision of the trajectory to be performed in order to prevent collisions with
obstacles that can be avoided by the wheelchair but possibly have contact with parts of the patient's body that
are outside it. With the generation of the recursion algorithm, the processing times for obtaining trajectories
were improved for the recursion algorithm the average time taken to find a point of a feasible trajectory
is 0.085 sec while for the algorithm without recursion is 0.168 sec.
ER  -