An Investigation into the Detection of Human Scratching Activity Based on Deep Learning Models 1st edition by Kevin Wang ISBN 979-8350399035 979-8350399028

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Product details:

ISBN 10: 979-8350399035
ISBN 13: 979-8350399028
Author: Kevin Wang

This research would likely aim to enhance human well-being by using advanced deep learning techniques to detect human scratching activities. By improving detection methods, it could help in clinical monitoring or automated systems to support people suffering from conditions that cause persistent itching or scratching, offering both practical and medical applications.

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An Investigation into the Detection of Human Scratching Activity Based on Deep Learning Models 1s Table of contents:

• Introduction
  1.1 Background and Motivation
  1.2 Problem Statement
  1.3 Objectives and Scope
  1.4 Structure of the Paper

• Literature Review
  2.1 Human Activity Detection
  2.2 Scratching Activity: A Case Study
  2.3 Machine Learning in Activity Recognition
  2.4 Deep Learning Approaches for Human Activity Detection
  2.5 Challenges and Existing Solutions

• Methodology
  3.1 Data Collection and Preprocessing
  3.2 Features for Activity Detection
  3.3 Deep Learning Models Used
  3.4 Model Architecture and Training
  3.5 Evaluation Metrics

• Experimental Setup
  4.1 Dataset Description
  4.2 System Architecture
  4.3 Implementation Details
  4.4 Hardware and Software Requirements

• Results and Discussion
  5.1 Model Performance
  5.2 Comparison with Existing Methods
  5.3 Error Analysis
  5.4 Limitations of the Study

• Conclusion
  6.1 Summary of Findings
  6.2 Contributions of the Study
  6.3 Future Work

• References

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