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                <identifier>oai:data.mendeley.com/z7tb8tt3kw.1</identifier>
                <datestamp>2026-05-20T14:05:31Z</datestamp>
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    <dc:creator>KOSURU, VENKATA KARTHIK</dc:creator>
    <dc:title>Behavioral_Stress_Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Dataset Title: Behavioral Stress Dataset for Multimodal AI Analysis

Author: Kosuru Karthik
Affiliation: Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India
Email: kosuru0062@gmail.com

ABSTRACT:
This dataset contains 100 behavioral records designed for machine learning and deep learning-based stress prediction research. Each record includes demographic information (age, gender) and behavioral parameters (sleep duration, screen time, workload, physical activity) with corresponding stress levels.

DATASET STRUCTURE:
- Total Records: 100
- Total Columns: 9
- File Format: Excel (.xlsx)
- License: CC BY 4.0

COLUMN DETAILS:
| Column Name | Description | Range |
|-------------|-------------|-------|
| User_ID | Unique identifier | 1 to 100 |
| Age | Age in years | 21 to 26 |
| Gender | Male or Female | M, F |
| Sleep_Hours | Hours of sleep per day | 3.5 to 8.5 hours |
| Screen_Time_Hours | Hours on screen per day | 4.5 to 14.5 hours |
| Workload_Hours | Work/study hours per day | 4.2 to 11.0 hours |
| Physical_Activity_Minutes | Exercise minutes per day | 5 to 88 minutes |
| Stress_Level | Stress score (0-100) | 26 to 98 |
| Stress_Category | Categorical stress label | Low, Moderate, High |

STRESS CATEGORY RULES:
- Low Stress: Stress_Level 0-49
- Moderate Stress: Stress_Level 50-69
- High Stress: Stress_Level 70-100

POTENTIAL APPLICATIONS:
1. Machine Learning-based stress prediction (Regression, Decision Trees, Random Forest)
2. Neural Network behavioral pattern learning
3. Clustering analysis (K-Means)
4. Anomaly detection (Isolation Forest)
5. Time-series behavioral forecasting
6. Correlation analysis between behavioral parameters and stress

REUSE INSTRUCTIONS:
- Open in Microsoft Excel or any CSV viewer
- Use with Python (pandas), R, MATLAB, or any data analysis tool
- No additional cleaning required - data is preprocessed and normalized

ETHICS STATEMENT:
This dataset contains simulated/anonymized data. No real human subjects were involved. Data can be freely used for academic and research purposes.

CITATION:
If you use this dataset, please cite:
Karthik, K. (2025). Behavioral Stress Dataset for Multimodal AI Analysis. Mendeley Data. [DOI will be assigned]

CONTACT:
Kosuru Karthik - kosuru0062@gmail.com</dc:description>
    <dc:subject>Physical Stress</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/z7tb8tt3kw.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/z7tb8tt3kw.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/z7tb8tt3kw</dc:relation>
    <dc:date>2026-05-20T14:05:31Z</dc:date>
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