The number of mobile devices, such as smartphones and smartwatches, is relentlessly increasing to almost 6.8 billion by 2022, and along with it, the amount of personal and sensitive data captured by them. This survey overviews the state of the art of what personal and sensitive user attributes can be extracted from mobile device sensors, emphasising critical aspects such as demographics, health and body features, activity and behaviour recognition, etc. In addition, we review popular metrics in the literature to quantify the degree of privacy, and discuss powerful privacy methods to protect the sensitive data while preserving data utility for analysis. Finally, open research questions a represented for further advancements in the field.

中文翻译：

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移动设备传感器隐私漏洞调查

到 2022 年，智能手机和智能手表等移动设备的数量将不断增加到近 68 亿，随之而来的是它们捕获的个人和敏感数据的数量。该调查概述了可以从移动设备传感器中提取哪些个人和敏感用户属性的最新技术，强调人口统计、健康和身体特征、活动和行为识别等关键方面。此外，我们还审查了以下流行指标量化隐私程度的文献，并讨论保护敏感数据的强大隐私方法，同时保留数据用于分析的效用。最后，开放的研究问题代表了该领域的进一步发展。