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Naturalistic Recognition of Activities and Mood Using Wearable Electronics.

, , , , и . IEEE Trans. Affect. Comput., 7 (3): 272-285 (2016)

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Ema Pérez Bravo

Roberto Francisco Pérez Benito

José Guadalupe Pérez-Ramírez

Elsa Pérez Rodriguez

Daniel Pérez Marcos

 

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Indoor Activity Recognition by Combining One-vs.-All Neural Network Classifiers Exploiting Wearable and Depth Sensors., , , и . IWANN (2), том 7903 из Lecture Notes in Computer Science, стр. 216-223. Springer, (2013)Structure-Adaptable Neurocontrollers: A Hardware-Friendly Approach., и . IWANN, том 1240 из Lecture Notes in Computer Science, стр. 1251-1259. Springer, (1997)Structure Adaption in Artificial Neural Networks through Adaptive Clustering and through Growth in State Space., и . IWANN (1), том 1606 из Lecture Notes in Computer Science, стр. 556-565. Springer, (1999)Using a Time-Delay Actor-Critic Neural Architecture with Dopamine-Like Reinforcement Signal for Learning in Autonomous Robots.. Emergent Neural Computational Architectures Based on Neuroscience, том 2036 из Lecture Notes in Computer Science, стр. 522-533. Springer, (2001)Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks., и . ICANN (1), том 4668 из Lecture Notes in Computer Science, стр. 39-48. Springer, (2007)Fuzzy Growing Hierarchical Self-Organizing Networks., , , и . ICANN (2), том 5164 из Lecture Notes in Computer Science, стр. 713-722. Springer, (2008)Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware., , , , , и . ICES, том 1259 из Lecture Notes in Computer Science, стр. 35-54. Springer, (1996)Diving into Supraglacial Lakes Detection: a Deep Semantic Segmentation Approach., , , , и . SIGSPATIAL/GIS, стр. 15:1-15:4. ACM, (2023)Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition., , и . ICPRAM, стр. 573-576. SciTePress, (2013)Reducing user intervention in incremental activityrecognition for assistive technologies., , и . ISWC, стр. 29-32. ACM, (2013)