Select Language

AI社区

公开数据集

UbiqLog(智能手机动态日志)数据集

UbiqLog(智能手机动态日志)数据集

61.3M
671 浏览
0 喜欢
0 次下载
0 条讨论
Computer Causal-Discovery

Reza Rawassizadeh rrawassizadeh '@' acm.org. University of California Riverside.Data Set Information:This is the......

数据结构 ? 61.3M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    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.

    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:8 去赚积分?
    • 671浏览
    • 0下载
    • 0点赞
    • 收藏
    • 分享