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Design of Multi-Directional Mobility Mechanism Wheel Control Utilizing Brainwaves and IoT

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2023, 9(5), pp.1-7
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : July 24, 2023
  • Accepted : September 15, 2023
  • Published : October 31, 2023

Jae-Min Hwang 1 Bonghyun Kim 1

1서원대학교

Accredited

ABSTRACT

Wheelchairs currently come in two types: electric and manual. However, even electric wheelchairs require some degree of muscle control for operation. Individuals with limited muscle control often rely on someone else to push their wheelchair, depriving them of the independence that everyone desires. Consequently, there is a need for wheelchairs that individuals without muscle control can operate independently. The brainwave-based omnidirectional mobility Mecanum wheel analyzes frequency components similar to those of a stimulator in the occipital lobe (O1, O2, P7, P8) of the user, utilizing an SVM model for control. Equipped with cameras and ultrasonic sensors, the device can detect objects and distances, allowing it to halt and prevent falls at elevated thresholds. Moreover, the camera can provide the caregiver with a front view of the user's surroundings, while GPS enables more accurate real-time monitoring of the user's location, ensuring the user's safety and facilitating caregiver monitoring. This technology aims to enhance the quality of life for individuals with limited muscle control and their caregivers, enabling greater freedom of movement for the disabled and easier monitoring for caregivers.

Citation status

* References for papers published after 2022 are currently being built.