| 书目名称 | Semantics in Mobile Sensing | | 编辑 | Zhixian Yan,Dipanjan Chakraborty | | 视频video | | | 丛书名称 | Synthesis Lectures on Data, Semantics, and Knowledge | | 图书封面 |  | | 描述 | The dramatic progress of smartphone technologies has ushered in a new era of mobile sensing, where traditional wearable on-body sensors are being rapidly superseded by various embedded sensors in our smartphones. For example, a typical smartphone today, has at the very least a GPS, WiFi, Bluetooth, triaxial accelerometer, and gyroscope. Alongside, new accessories are emerging such as proximity, magnetometer, barometer, temperature, and pressure sensors. Even the default microphone can act as an acoustic sensor to track noise exposure for example. These sensors act as a ""lens"" to understand the user‘s context along different dimensions.Data can be passively collected from these sensors without interrupting the user. As a result, this new era of mobile sensing has fueled significant interest in understanding what can be extracted from such sensor data both instantaneously as well as considering volumes of time series from these sensors. For example, GPS logs can be used to determine automatically the significant places associated to a user‘s life (e.g., home, office, shopping areas). The logs may also reveal travel patterns, and how a user moves from one place to another (e.g., dri | | 出版日期 | Book 2014 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-79453-7 | | isbn_softcover | 978-3-031-79452-0 | | isbn_ebook | 978-3-031-79453-7Series ISSN 2691-2023 Series E-ISSN 2691-2031 | | issn_series | 2691-2023 | | copyright | Springer Nature Switzerland AG 2014 |
The information of publication is updating
|
|
发表于 2025-3-21 17:07:13
