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

Jeyeon Kim1, Takaaki Hasegawa2, Yuta Sakamoto3

  • 1Department of Creative Engineering at National Institute of Technology, Tsuruoka College, Tsuruoka, Yamagata 997-8511, Japan. jykim@tsuruoka-nct.ac.jp.

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Summary

This study demonstrates a Kinect sensor system for detecting hazardous objects around electric wheelchairs at night. The system enhances safety for elderly users by accurately identifying obstacles, improving mobility assistance.

Keywords:
Kinectelderly peoplehandle type electric wheelchairmobility

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Area of Science:

  • Robotics and Human-Computer Interaction
  • Assistive Technology for Elderly Mobility
  • Sensor Systems for Safety Applications

Background:

  • Ensuring mobility for the elderly is a critical societal challenge.
  • Electric wheelchairs offer vital transportation solutions for older adults.
  • Safety concerns, particularly at night, limit the full potential of electric wheelchairs.

Purpose of the Study:

  • To evaluate the feasibility of using Kinect sensors for a hazardous object detection system for electric wheelchairs.
  • To enhance the safety of electric wheelchairs, especially for elderly users during nighttime operation.
  • To determine optimal warning timings based on elderly user cognitive and operational factors.

Main Methods:

  • Development of a hazardous object detection system using affordable Kinect sensors.
  • Analysis of user reaction times (cognition, judgment, operation) for elderly individuals.
  • Determination of a specific hazardous object detection area.
  • Testing of static and dynamic object detection capabilities in both nighttime and daytime conditions.

Main Results:

  • The Kinect-based system demonstrated high accuracy in detecting static and dynamic hazardous objects at night.
  • The system proved effective in identifying obstacles relevant to electric wheelchair operation.
  • Daytime experiments also confirmed the system's capability for dynamic object detection.

Conclusions:

  • The developed hazardous object detection system using Kinect sensors is applicable to enhancing the safety of handle-type electric wheelchairs.
  • This technology offers a promising solution for improving nighttime navigation and preventing accidents for elderly wheelchair users.
  • The system's cost-effectiveness and accuracy make it a viable option for widespread adoption in assistive mobility devices.