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Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition.

, , , , , , and . Neural Processing Letters, 42 (1): 5-26 (2015)

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Evaluating the effects of signal segmentation on activity recognition., , , , , , and . IWBBIO, page 759-765. Copicentro Editorial, (2014)An Ontology for Dynamic Sensor Selection in Wearable Activity Recognition., , , and . IWBBIO (2), volume 9044 of Lecture Notes in Computer Science, page 141-152. Springer, (2015)Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection., , , , , , and . IWANN (2), volume 9095 of Lecture Notes in Computer Science, page 165-172. Springer, (2015)First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients., , , , and . IUCC-CSS, page 116-123. IEEE Computer Society, (2016)Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers., , , , , and . UCAmI, volume 2 of MDPI Proceedings, page 1204. MDPI, (2018)Window Size Impact in Human Activity Recognition., , , , and . Sensors, 14 (4): 6474-6499 (2014)A Classification System to Assess Low Back Muscle Endurance and Activity Using mHealth Technologies., , , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 709-721. Springer, (2017)Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition., , and . IEA/AIE (2), volume 6097 of Lecture Notes in Computer Science, page 637-642. Springer, (2010)Facilitating trunk endurance assessment by means of mobile health technologies., , , , , , , , , and 2 other author(s). UbiComp/ISWC Adjunct, page 149-152. ACM, (2015)On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition., , , and . Sensors, 12 (6): 8039-8054 (2012)