Abstract:
Gestural interface has been the subject of research for more than 40 years.The implementation of
a novel intuitive and adaptive manipulation scheme is proposed by developing a human-machine
communication interface between the Leap Motion controller and the wheel chair. An algorithm
is developed to allow an optimum mapping between the user hand movement, tracked by the
Leap Motion controller, and the wheel chair. The system should allow for a more natural humancomputer
interaction and a smooth manipulation of the wheel chair, by constantly adapting to the
user hand tremor or shake. The implementation would specially enhance the quality of living,
especially for people with lower limb problems, and would support them in performing some of
the essential Activities of Daily Living “ADLs”.
This thesis deals with the design and testing of an applicable software interface that allows a user
to control a wheel chairby using a Leap Motion Sensor while defining and keeping a safe
workspace for the wheel chair to operate.
Thesensorisusedtosensethegesturesandmovethewheelchairaccordingtothegestures.Itwilltrackthem
ovementofthefingersandhandstorecognizethegesture&thenthroughArduinothemotorswillperformt
hedesiredoperation.IninterfacingwewillcontrolthemotorofRobochairthroughserialcommunicationtomovethechairleft,
right,forwardorreverse.
The Leap Motion Sensor is a small and portable device which is able to sense human hands
above it and to keep track of them. The user will feel an interesting touch-free control experience
while controlling the wheel chair.
