UbiqLog（智能手机动态日志）数据集

Reza Rawassizadeh rrawassizadeh '@' acm.org. University of California Riverside. Data Set Information: This is the first smartphone based lifelogging dataset that is going to be available for public use. Please consider that the user of this dataset are obliged NOT to perform any sort of analysis that can harm the privacy of participants. This dataset is not for any privacy related analysis that can re-identify users. The UbiqLog tool is open source and accessible here: [Web link] Attribute Information: With respect to users privacy UbiqLog collects their Calls, SMS headers (no content), App use, WiFi & Bluetooth devices in user's proximity, geographical location (if available and GPS works), physical activities form Google play API. Data format is in JSON, because there are different sensors and they have different variables. Nevertheless, we have the code for cleaning and converting the data into CSV + smoothing the time. Moreover, we can share our visualization code. Interested individuals could contact the given email address. Relevant Papers: To appear: Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data. Citation Request: Please cite both of the following paper and NOT only one of them: Rawassizadeh, R., Tomitsch, M., Wac, K., & Tjoa, A. M. (2013). UbiqLog: a generic mobile phone-based life-log framework. Personal and ubiquitous computing, 17(4), 621-637. Rawassizadeh, R., Momeni, E., Dobbins, C., Mirza-Babaei, P., & Rahnamoun, R. (2015). Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices. Journal of Sensor and Actuator Networks, 4(4), 315-335.

作者及联系方式：Reza Rawassizadeh，邮箱：[e-mail]，加州大学河滨分校。
数据集信息：本数据集为全球首个面向公众开放的基于智能手机的生活日志（lifelogging）数据集。请注意，数据集使用者严禁开展任何可能损害参与者隐私的分析行为，且不得用于可重新识别用户的隐私相关分析。UbiqLog工具为开源工具，可通过[Web link]获取。
属性信息：出于用户隐私保护考量，UbiqLog采集以下数据：通话记录、短信头部信息（不含内容）、应用使用情况、用户周边的WiFi与蓝牙设备、地理位置（仅在GPS可用且正常工作时采集），以及通过谷歌Play API（Google Play API）获取的身体活动数据。由于涉及多种传感器且变量类型各异，数据格式采用JSON。此外，本团队提供数据清洗、转换为CSV格式以及时间平滑的代码，同时可共享可视化代码。有兴趣的人士可通过上述邮箱联系。
相关论文：待发表论文：《基于多变量时序数据的可扩展日常人类行为模式挖掘》（Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data）。
引用要求：请同时引用以下两篇论文，请勿仅引用其中一篇：
1. Rawassizadeh, R., Tomitsch, M., Wac, K., & Tjoa, A. M. (2013). UbiqLog: a generic mobile phone-based life-log framework. Personal and ubiquitous computing, 17(4), 621-637。译文：拉瓦西扎德（R. Rawassizadeh）、托米奇（M. Tomitsch）、瓦茨（K. Wac）、特乔阿（A. M. Tjoa）（2013）.《UbiqLog：一款基于移动电话的通用生活日志框架》. 《个人与普适计算》，17(4)，621-637。
2. Rawassizadeh, R., Momeni, E., Dobbins, C., Mirza-Babaei, P., & Rahnamoun, R. (2015). Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices. Journal of Sensor and Actuator Networks, 4(4), 315-335。译文：拉瓦西扎德（R. Rawassizadeh）、莫门尼（E. Momeni）、多宾斯（C. Dobbins）、米尔扎-巴巴埃伊（P. Mirza-Babaei）、拉赫纳蒙（R. Rahnamoun）（2015）.《通过移动与可穿戴设备采集量化自我信息的经验教训》. 《传感器与执行器网络期刊》，4(4)，315-335。

搜集汇总

背景与挑战

背景概述

UbiqLog数据集是一个公开的智能手机生活日志数据集，包含通话、短信头、应用使用、WiFi/蓝牙设备、地理位置和物理活动等多维度数据，格式为JSON，强调隐私保护，禁止隐私侵犯分析。