P
Philippe Kahn
Researcher at Huawei
Publications - 98
Citations - 3335
Philippe Kahn is an academic researcher from Huawei. The author has contributed to research in topics: Sleep (system call) & Interface (computing). The author has an hindex of 29, co-authored 93 publications receiving 3328 citations.
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Patent
Methods for mapping data fields from one data set to another in a data processing environment
TL;DR: In this paper, a rule-based methodology is described which supports automatic mapping of data fields between different data sets in a data processing environment, where the rules are ordered in descending preference according to the likelihood that a given rule will correctly identify a field.
Patent
Method and Apparatus for Adjusting Audio for a User Environment
Philippe Kahn,Arthur Kinsolving +1 more
TL;DR: In this paper, the authors define a user environment based on detected motion data and/or ambient noise data, which is then used to apply an appropriate audio adjustment mode and further include location data.
Patent
Human activity monitoring device with distance calculation
Philippe Kahn,Arthur Kinsolving,Mark Andrew Christensen,Brian Y. Lee,David Vogel,Paul Andrew Mietz Egli +5 more
TL;DR: In this article, a method of monitoring human activity includes monitoring accelerations using an inertial sensor disposed at one of a plurality of locations on a human body, wherein at least one of the plurality locations is not a foot location.
Patent
Human activity monitoring device
TL;DR: In this paper, a method for monitoring human activity using an inertial sensor includes continuously determining an orientation of the sensor, assigning a dominant axis, updating the dominant axis as the orientation changes, and counting periodic human motions by monitoring accelerations relative to the sensor's dominant axis.
Patent
Body-Worn Monitor
Philippe Kahn,Arthur Kinsolving +1 more
TL;DR: In this paper, an accelerometer and a temperature sensor are combined with a power management system to move the body-worn device into a low power state when not being worn, based on a combination of sensor data.