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Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
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Wearable co-thinking device to assist strawberry packaging task.

Osamu Fukuda1, Wen Liang Yeoh2, Yuta Esaki2

  • 1Department of Science and Engineering, Graduate School of Science and Engineering, Saga University, Saga, 840-8502, Japan. fukudao@cc.saga-u.ac.jp.

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Summary

A new wearable co-thinking device aids agricultural workers in strawberry packaging, reducing physical handling and mental workload. This technology boosts productivity and maintains fruit quality, improving the overall work experience.

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Area of Science:

  • Agricultural Technology
  • Human-Computer Interaction
  • Robotics

Background:

  • Agricultural work, particularly fruit packaging, is labor-intensive and can lead to high physical and mental strain for workers.
  • Existing packaging methods may not fully optimize efficiency or worker well-being.
  • The integration of smart technology in agriculture is a growing field for enhancing productivity and ergonomics.

Purpose of the Study:

  • To develop and evaluate a wearable co-thinking device designed to assist agricultural workers in strawberry packaging.
  • To assess the impact of the device on task performance, including time efficiency and physical handling of produce.
  • To measure the reduction in perceived mental workload and evaluate the system's integration with human judgment.

Main Methods:

  • Development of a wearable system integrating smart glasses and a mechanical gripper for real-time recognition, analysis, and collaboration.
  • Experimental validation comparing the device-assisted packaging process with manual methods.
  • Assessment of strawberry quality (weight, ripeness) and worker mental workload using NASA-TLX (including mental demand, temporal demand, effort, and frustration).

Main Results:

  • Significant reduction in task completion time and physical handling of strawberries when using the device.
  • Maintained quality of packaged strawberries (weight, ripeness) comparable to meticulous manual methods.
  • Substantial decrease in perceived mental workload, specifically mental demand, temporal demand, effort, and frustration levels.

Conclusions:

  • The wearable co-thinking device effectively supports strawberry packaging, enhancing worker productivity and well-being.
  • The system's ability to integrate AI-driven decisions with human input optimizes task performance and adaptability.
  • This technology presents a practical solution for alleviating workload and improving the efficiency of agricultural labor.