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Hazardous Object Detection by Using Kinect Sensor in a Handle-Type Electric Wheelchair

机译:在手柄式电动轮椅上使用Kinect传感器检测有害物体

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摘要

To ensure the safety of a handle-type electric wheelchair (hereinafter, electric wheelchair), this paper describes the applicability of using a Kinect sensor. Ensuring the mobility of elderly people is a particularly important issue to be resolved. An electric wheelchair is useful as a means of transportation for elderly people. Considering that the users of electric wheelchairs are elderly people, it is important to ensure the safety of electric wheelchairs at night. To ensure the safety of an electric wheelchair at night, we constructed a hazardous object detection system using commercially available and inexpensive Kinect sensors and examined the applicability of the system. We examined warning timing with consideration to the cognition, judgment, and operation time of elderly people. Based on this, a hazardous object detection area was determined. Furthermore, the detection of static and dynamic hazardous objects was carried out at night and the results showed that the system was able to detect with high accuracy. We also conducted experiments related to dynamic hazardous object detection during daytime. From the above, it showed that the system could be applicable to ensuring the safety of the handle-type electric wheelchair.
机译:为了确保手柄式电动轮椅(以下称为电动轮椅)的安全性,本文介绍了使用Kinect传感器的适用性。确保老年人的流动性是需要解决的特别重要的问题。电动轮椅可用作老年人的交通工具。考虑到电动轮椅的使用者是老年人,确保夜间电动轮椅的安全非常重要。为确保夜间电动轮椅的安全,我们使用市售的廉价Kinect传感器构建了危险物体检测系统,并检查了该系统的适用性。我们考虑了老年人的认知,判断和手术时间,检查了警告时间。基于此,确定了危险物体检测区域。此外,在夜间进行了静态和动态危险物体的检测,结果表明该系统能够进行高精度检测。我们还进行了与白天动态危险物体检测有关的实验。由上可知,该系统可适用于确保手柄式电动轮椅的安全性。

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