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数据集包含由受试者佩戴华为Fit 2智能手表采集的传感器数据，涵盖血氧、睡眠模式、心率、身体活动、压力水平等生理指标测量结果，同时包含人口统计学信息。该数据集采集周期为3个月，在多个领域具备显著应用潜力，可应用于以下场景： 1. 攻击行为预测：构建模型以识别腕部可穿戴设备佩戴者的攻击倾向，可为执法、安保及职场安全场景中的干预工作提供支持。 2. 设备伪影识别：辅助识别华为腕部设备特有的数字伪影，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流程，实现精准的犯罪现场重建，为执法流程中的重大案件调查提供支撑。 4. 犯罪侧写：分析行为模式以构建数字取证调查中的完整个体画像，为洞察涉案人员的活动轨迹及涉案关联提供依据。 5. 医疗健康与福祉研究：通过分析睡眠模式、心率及压力水平，洞察个体健康与福祉状况，助力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，以解析人类行为模式，为社会科学研究提供数据支撑。 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。 8. WristSense数据集的多领域适用性使其不仅在数字取证领域具备重要价值，在其他需理解人类行为、依赖可穿戴技术的场景中同样具有极高应用价值。