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                <identifier>oai:data.mendeley.com/4cx93gfb8z.2</identifier>
                <datestamp>2025-09-10T16:25:35Z</datestamp>
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    <dc:creator>Almubairik, Norah</dc:creator>
    <dc:title>WristSense: A Wrist-wear Dataset for Identifying Aggressive Tendencies</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The WristSense dataset comprises sensor data collected from Huawei Fit 2 smartwatches worn by participants, including measurements of blood oxygen, sleep patterns, heart rate, physical activity, and stress levels, along with demographic information. This dataset, collected over a period of 3 months, holds significant potential for various applications in different domains. It can be utilized for:
1-Aggressive Behavior Prediction: Developing models to identify aggressive tendencies in individuals wearing wrist-wearables, aiding intervention in law enforcement, security, and workplace safety.
2- Artifact Identification: Assisting in identifying artifacts specific to Huawei wrist devices, enhancing digital forensic investigations, and reducing the risk of overlooking important evidence.
3- Crime Scene Reconstruction: Integrating data into 3D modeling for accurate crime scene reconstruction, supporting investigations of serious crimes within the law enforcement process.
4-Criminal Profiling: Analyzing behavior patterns to build comprehensive profiles in digital forensics investigations, providing insights into individuals&apos; activities and involvement in criminal cases.
5- Healthcare and Wellness: Studying sleep patterns, heart rate, and stress levels to gain insights into individuals&apos; health and well-being, assisting in personalized healthcare and wellness programs.
6-Human Behavior Research: Exploring the relationship between physical activity, stress levels, and demographic factors to understand human behavior patterns and inform social sciences research.
7-Wearable Technology Development: Utilizing the dataset to improve the design and functionality of wrist-wearable devices, enhancing user experience and health monitoring capabilities.
8-The versatility of the WristSense dataset makes it valuable not only in digital forensics but also in various other domains where understanding human behavior and utilizing wearable technology are essential.</dc:description>
    <dc:subject>Digital Investigation</dc:subject>
    <dc:subject>Embedded Device Forensics</dc:subject>
    <dc:subject>Wearable Sensor</dc:subject>
    <dc:subject>Criminal Behavior</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0002-9130-1874">Khan, Fakhri Alam</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-2612-1615">Mohammad, Rami</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/4cx93gfb8z.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/4cx93gfb8z.2</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:relation>https://data.mendeley.com/datasets/4cx93gfb8z</dc:relation>
    <dc:date>2025-09-10T16:25:35Z</dc:date>
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