MyDigitalFootprint

MyDigitalFootprint是一个大规模数据集，由意大利国家研究委员会信息学与电信研究所的Mattia G. Campana和Franca Delmastro创建。该数据集包含了31名志愿者在两个月内通过智能手机收集的数据，包括嵌入式传感器数据、物理接近信息和在线社交网络交互，旨在支持多模态上下文识别和社会关系建模。数据集内容丰富，包括用户日常活动和社交互动的详细信息，创建过程遵循野外数据收集协议，确保数据的真实性和自然性。该数据集的应用领域广泛，主要用于移动和边缘计算领域的研究，旨在解决快速适应用户当前情况和保护用户隐私的问题。

MyDigitalFootprint is a large-scale dataset developed by Mattia G. Campana and Franca Delmastro from the Institute of Informatics and Telematics of the Italian National Research Council. This dataset comprises data collected by 31 volunteers using smartphones over a two-month period, encompassing embedded sensor data, physical proximity information, and online social network interactions, with the purpose of supporting multimodal context recognition and social relationship modeling. The dataset contains rich content, including detailed records of users' daily activities and social interactions, and its construction follows a field data collection protocol to guarantee the authenticity and naturalness of the collected data. This dataset has broad application scenarios, and is primarily employed for research in the fields of mobile and edge computing, aiming to address issues such as rapid adaptation to users' current contexts and the protection of user privacy.