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Personalized Deep Learning in Human Activity Recognition from Inertial Signals: a Preliminary Study on its Effectiveness (short paper).

, , , and . AIxAS@AI*IA, volume 2804 of CEUR Workshop Proceedings, page 25-30. CEUR-WS.org, (2020)

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Activity monitoring from RGB input for indoor action recognition systems., , , and . ICCE-Berlin, page 1-4. IEEE, (2018)A Bayesian Approach to Situated Vision., , , , and . BVAI, volume 3704 of Lecture Notes in Computer Science, page 367-376. Springer, (2005)What the Draughtsman's Hand Tells the Draughtsman's Eye: a Sensorimotor Account of Drawing., , , and . IJPRAI, 22 (5): 1015-1029 (2008)Sensorimotor coupling via dynamic bayesian networks., , , , and . ICRA, page 1582-1587. IEEE, (2008)A Novel Supervised Text Classifier from a Small Training Set., , , , and . KDIR, page 545-553. SciTePress, (2011)Query Expansion through Weighted Word Pairs., , , and . SEBD, page 399-406. (2014)UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones., , and . CoRR, (2016)Improved opponent color local binary patterns: an effective local image descriptor for color texture classification., , and . J. Electronic Imaging, 27 (1): 11002 (2018)State Recognition of Food Images Using Deep Features., , and . IEEE Access, (2020)A health telemonitoring platform based on data integration from different sources., , , and . ICCE-Berlin, page 1-6. IEEE, (2022)