轮椅
计算机科学
人工智能
计算机视觉
平面图(考古学)
物理医学与康复
人机交互
模拟
医学
历史
万维网
考古
作者
Riyandi Banovbi Putera Irsal,Blessius Sheldo Putra Laksono,Fitri Utaminingrum
标识
DOI:10.1145/3626641.3626665
摘要
In this life, many people with disabilities lose the opportunity to live better than others. especially people with physical disabilities who may not have mobility like us. Physical disability is caused by several things, some from birth or disease and also an accident. People with physical disabilities who have difficulty walking require a wheelchair to be able to move. However, hands and arms must be used to operate the wheelchair. We found a way to solve the problem. we plan to move the wheelchair with eyeball movement as navigation. this solution does not only solve the problem of physical disability. we can also reduce contact to often hold the wheelchair. To detect eyeball movement, we use the Faster R-CNN method. This method if we compare it with other methods has competitive accuracy. From the results we have, we get a mAP value of more than 0.853 from each class.
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