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.WristSense数据集由参与者佩戴华为Fit 2智能手表采集的传感器数据构成，涵盖血氧、睡眠模式、心率、身体活动、压力水平等测量项，以及人口统计学信息。该数据集的采集周期为3个月，在多个不同领域均具备显著应用潜力。其可应用于以下场景： 1. 攻击行为预测：开发模型以识别佩戴腕部可穿戴设备者的攻击倾向，助力执法、安保及职场安全领域的干预工作。 2. 设备伪影识别：协助识别华为腕部设备特有的伪影，优化数字取证调查流程，降低遗漏关键证据的风险。 3. 犯罪现场重建：将数据集成至三维建模中以实现精准犯罪现场重建，为执法流程中的重大刑事案件调查提供支撑。 4. 犯罪侧写：在数字取证调查中，通过分析行为模式构建全面的个体侧写，为了解涉案人员的活动轨迹及涉案情况提供参考依据。 5. 医疗与健康：研究睡眠模式、心率及压力水平，以洞悉个体健康状况与福祉状态，辅助个性化医疗及健康管理方案的制定。 6. 人类行为研究：探究身体活动、压力水平与人口统计学因素之间的关联，以理解人类行为模式，为社会科学研究提供实证支持。 7. 可穿戴技术研发：利用该数据集优化腕部可穿戴设备的设计与功能，提升用户体验与健康监测能力。 WristSense数据集的多功能性使其不仅在数字取证领域具有价值，在所有需要理解人类行为、应用可穿戴技术的其他领域中亦具备重要应用价值。