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Sensors 2017, 17(12), 2936; doi:10.3390/s17122936

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

1
Department of Creative Engineering at National Institute of Technology, Tsuruoka College, Tsuruoka, Yamagata 997-8511, Japan
2
Division of Mathematics, Electronics and Informatics, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
3
Takaoka Toko Co., Ltd., Tokyo 110-0005, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Yasufumi Enami
Received: 8 October 2017 / Revised: 27 November 2017 / Accepted: 13 December 2017 / Published: 18 December 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Japan 2017)

Abstract

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. View Full-Text
Keywords: handle type electric wheelchair; mobility; elderly people; Kinect handle type electric wheelchair; mobility; elderly people; Kinect
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kim, J.; Hasegawa, T.; Sakamoto, Y. Hazardous Object Detection by Using Kinect Sensor in a Handle-Type Electric Wheelchair. Sensors 2017, 17, 2936.

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