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Object Affordance-Based Implicit Interaction for Wheelchair-Mounted Robotic Arm Using a Laser Pointer.

Yaxin Liu1, Yan Liu1, Yufeng Yao1

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This summary is machine-generated.

This study introduces a new laser pointer control for wheelchair-mounted robotic arms (WMRAs), making them easier to use. The technology significantly reduces user effort and operating time for improved self-care.

Keywords:
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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Growing global populations strain healthcare resources, increasing the need for assistive technologies like wheelchair-mounted robotic arms (WMRAs).
  • Current WMRAs are difficult to control, leading to user frustration and limited self-care capabilities.
  • Nursing staff face significant stress due to inadequate support for patients' daily needs.

Purpose of the Study:

  • To develop an intuitive control method for WMRAs to enhance user self-care and reduce nursing workload.
  • To propose an object affordance-based implicit interaction technology using a laser pointer for simplified WMRA operation.
  • To decrease the burden on users operating complex assistive robotic systems.

Main Methods:

  • Developed a laser semantic identification algorithm using YOLOv4 and Support Vector Machine (SVM) for precise laser targeting.
  • Implemented an implicit action intention reasoning algorithm based on object affordance to infer user intent and preferences.
  • Utilized dynamic movement primitives (DMP) for action trajectory generalization and finite state mechanism (FSM) for action sequencing.

Main Results:

  • Successfully verified the proposed implicit interaction technology on a WMRA platform.
  • The new method demonstrated faster intention output compared to previous approaches.
  • Achieved an approximately 85% reduction in user limb involvement time during WMRA operation.

Conclusions:

  • The object affordance-based implicit interaction technology offers a more efficient and user-friendly method for controlling WMRAs.
  • This advancement has the potential to significantly improve the quality of life for individuals requiring assistive robotic devices.
  • The technology effectively addresses the challenges of complex WMRA operation, paving the way for wider adoption in assistive care.