WristSense: A Wrist-wear Dataset for Identifying Aggressive Tendencies

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' activities and involvement in criminal cases. 5- Healthcare and Wellness: Studying sleep patterns, heart rate, and stress levels to gain insights into individuals' 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.