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Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors.

Andrés Trujillo-León1, Wael Bachta2, Julián Castellanos-Ramos3

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Summary

Tactile sensors show promise for controlling powered wheelchairs, correlating well with force and torque data. However, human grip variations and contact stabilization are key challenges for reliable human-machine interfaces.

Keywords:
assistive technologyattendanthuman factorstactile sensorsuser interfacewheelchairs

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Area of Science:

  • Human-Machine Interface (HMI) research
  • Robotics and Control Systems
  • Ergonomics and Human Factors Engineering

Background:

  • Tactile sensors offer potential for human-machine interfaces, such as isometric joysticks and handlebars.
  • Controlling powered wheelchairs presents ergonomic challenges when using human interaction sensors.
  • Existing control systems often rely on force and torque sensors.

Purpose of the Study:

  • To explore the relationship between tactile sensor data and traditional force/torque sensor variables.
  • To investigate the feasibility of using tactile sensors for controlling powered wheelchairs.
  • To identify challenges and necessary steps for implementing tactile sensors in wheelchair control.

Main Methods:

  • Instrumenting a handlebar with tactile sensors and a 6-axis force torque sensor.
  • Conducting experiments with the handlebar mounted on a wheelchair and a fixed table setup.
  • Analyzing correlations between data from tactile and force/torque sensors.

Main Results:

  • Variables derived from tactile sensors show good correlation with force and torque sensor data.
  • Human factors like gripping force and grasp variations significantly influence sensor readings.
  • A stabilization period for hand contact is necessary to obtain reliable sensor characteristics and settle time.

Conclusions:

  • Tactile sensors can provide valuable input for human-machine interfaces, including powered wheelchair control.
  • Addressing the variability introduced by human interaction (grip, grasp) is crucial for robust system design.
  • Further research is needed to develop methods for stabilizing hand contact and interpreting tactile sensor data effectively.