https://github.com/hemumanju/reaction-time-classification

This repository contains the code base for classification of reaction time in teleoperation scenario
https://github.com/hemumanju/reaction-time-classification

classification cookiecutter-template sklearn task-difficulty teleoperation-scenario

Last synced: 5 days ago
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This repository contains the code base for classification of reaction time in teleoperation scenario

• Host: GitHub
• URL: https://github.com/hemumanju/reaction-time-classification
• Owner: HemuManju
• License: mit
• Created: 2019-04-05T03:39:43.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-27T15:36:26.000Z (almost 2 years ago)
• Last Synced: 2024-10-30T18:25:53.837Z (about 2 months ago)
• Topics: classification, cookiecutter-template, sklearn, task-difficulty, teleoperation-scenario
• Language: Python
• Homepage:
• Size: 9.7 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Reaction_time_classification

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In the teleoperated scenario, as the task difficulty increases, the performance of the operator decreases which leads to a decrease in the overall system efficiency. Thus, it is important to predict the change in task difficulty in order to increase system efficiency. However, the task difficulty cannot be predicted as task information is unknown in real-time. Alternatively, the task difficulty can be estimated studying the distribution of reaction time. In this study, the physiological features of the operator are used to classify the reaction time as fast, normal and slow corresponding different levels of task difficulty. The physiological features are extracted from the eye (though eye tracking) and brain (through Electroencephalogram) from the operator performing teleoperation using two drones. Among the calculated features glance ratio and mental workload resulted in maximum classification accuracy when task type information is included.

Documentation  




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Project based on the cookiecutter data science project template. #cookiecutterdatascience