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Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications.

, , , , , , и . ICC Workshops, стр. 265-270. IEEE, (2015)

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Enea Parini

Constantin Enea

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Human Action Recognition Based on Temporal Pyramid of Key Poses Using RGB-D Sensors., , , и . ACIVS, том 10016 из Lecture Notes in Computer Science, стр. 510-521. (2016)Depth stream compression for enhanced real time fall detection by multiple sensors., , , и . ICCE-Berlin, стр. 29-30. IEEE, (2014)Real time message composition through head movements on portable Android devices., , , и . ICCE, стр. 516-517. IEEE, (2014)Validation of an optimized algorithm to use Kinect in a non-structured environment for Sit-to-Stand analysis., , , , , , , и . EMBC, стр. 5078-5081. IEEE, (2015)Multimodal Interaction in a Elderly-Friendly Smart Home: A Case Study., , , , , , и . MONAMI, том 141 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 373-386. Springer, (2014)An Integrated Approach to Fall Detection and Fall Risk Estimation Based on RGB-Depth and Inertial Sensors., , , и . DSAI, стр. 246-253. ACM, (2016)Multisensor data fusion for human activities classification and fall detection., , , , , , , , и . IEEE SENSORS, стр. 1-3. IEEE, (2017)Kinect as a Tool for Gait Analysis: Validation of a Real-Time Joint Extraction Algorithm Working in Side View., , , и . Sensors, 15 (1): 1417-1434 (2015)Unobtrusive intake actions monitoring through RGB and depth information fusion., , , и . ICCP, стр. 19-26. IEEE, (2016)Fall Detection with Kinect in Top View: Preliminary Features Analysis and Characterization., , , и . GOODTECHS, том 233 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 153-162. Springer, (2017)