I Komang Somawirata
ABSTRACT
Technology is being utilized by everyone in the age of globalization to perform or complete routine tasks that are vital for survival. However, some parts of the human population are unable to carry out daily activities due to a lack or inability to move the body's locomotors, such as the hands and feet. Smart wheelchairs that can accept input using only eye movements combined with facial landmark methods have been the focus of previous research. Regrettably, it did no longer produce the predicted level of accuracy considering previous research only focused on the eye area, which does no longer take into consideration the opportunity of disabled humans having abnormalities in the eye area as well. As a result, this lookup used to be carried out by making use of head movement whilst nonetheless being integrated with facial landmarks, and based totally on the distance of the head and camera on the wheelchair to be able to direct and manipulate the clever wheelchair in order for it to be used properly. The focal point of this find out about was on managing head actions as inputs to direct the wheelchair closer to four directions, such as Turn left, turn right, straight forward, and stopping, with the integration of minimum (30 cm), fantastic (30-40 Cm), and maximum (50-60) distances in the experiment. This study generates a fairly exceptional stage of accuracy at a distance of 30-40 cm, ensuing in an increasingly extraordinary accuracy rate of 98%..
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Index Terms
- An Application of Head Gesture For Controlling Electric Wheelchair Movement
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