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Optimizing Activity Recognition in Stroke Survivors for Wearable Exoskeletons.

, , , , , and . BioRob, page 173-178. IEEE, (2018)

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Evaluating the effects of signal segmentation on activity recognition., , , , , , and . IWBBIO, page 759-765. Copicentro Editorial, (2014)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)High-Level Context Inference for Human Behavior Identification., , , , , , , and . IWAAL, volume 9455 of Lecture Notes in Computer Science, page 164-175. Springer, (2015)Optimizing Activity Recognition in Stroke Survivors for Wearable Exoskeletons., , , , , and . BioRob, page 173-178. IEEE, (2018)First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients., , , , and . IUCC-CSS, page 116-123. IEEE Computer Society, (2016)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)Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers., , , , , and . UCAmI, volume 2 of MDPI Proceedings, page 1204. MDPI, (2018)Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications., , , , , , , and . UCAmI, volume 10586 of Lecture Notes in Computer Science, page 340-351. Springer, (2017)Human Behaviour Analysis through Smartphones., , , , and . UCAmI, volume 2 of MDPI Proceedings, page 1243. MDPI, (2018)Facilitating trunk endurance assessment by means of mobile health technologies., , , , , , , , , and 2 other author(s). UbiComp/ISWC Adjunct, page 149-152. ACM, (2015)