CDS-based Efficient Multiuser Boarding Detection Scheme for Electric Scooters

조도 센서를 이용한 효율적인 학습모델 기반의 전동 킥보드용 다인 탑승 감지 방안

  • Harin Kwon (Dept. of Smart Information and Telecommunication Engineering, Sangmyung University) ;
  • Munjeong Ahn (Dept. of Smart Information and Telecommunication Engineering, Sangmyung University) ;
  • Jihoon Lee (Dept. of Smart Information and Telecommunication Engineering, Sangmyung University)
  • 권하린 (상명대학교 스마트정보통신공학과) ;
  • 안문정 (상명대학교 스마트정보통신공학과) ;
  • 이지훈 (상명대학교 스마트정보통신공학과)
  • Received : 2024.09.10
  • Accepted : 2024.09.14
  • Published : 2024.09.30

Abstract

Electric scooters are used by many people as a means of transportation because they are easy to operate and get around quickly. Although electric scooters can move at high speeds, they lack safety measures such as seat belts and blocked car body, which can lead to serious injury in the event of an accident. If there are two people on board, the braking speed will be slower and the weight of the vehicle will increase its braking distance during sudden stops, leading to even more serious damage. Therefore, this paper proposes the illuminance sensors based multiuser boarding detection scheme for electric scooter, which is expected to decrease the risk of accidents and to lessen the likelihood of injury. From the performance evaluation results, it has been shown that the proposed scheme has higher detection ratio than existing schemes and has the detection accuracy of about 83% by means of the machine learning based foot position estimation for the sensed data.

Keywords

Acknowledgement

본 연구는 2024학년도 상명대학교 교내연구비를 지원 받아 수행하였음(2024-A000-0132).

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