Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation

Autor: Lorena Palafox, María del Carmen Lara, Nadia Berthouze, Amanda C de C Williams, Enrique Sucar, Luis R. Castrejón, Jorge Hernández-Franco, Jesus Joel Rivas, Felipe Orihuela-Espina

Publikováno v: IEEE Transactions on Affective Computing. 13:1183-1194

Computational systems that process multiple affective states may benefit from explicitly considering the interaction between the states to enhance their recognition performance. This work proposes the combination of a multi-label classifier, Circular

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec8529abd1c597ab482053176187d861
https://doi.org/10.1109/taffc.2021.3055790

Dealing with a missing sensor in a multilabel and multimodal automatic affective states recognition system

Autor: Nadia Bianchi-Berthouze, Felipe Orihuela-Espina, Jesus Joel Rivas, Luis Enrique Sucar

Publikováno v: 9th International Conference on Affective Computing and Intelligent Interaction (ACII)
ACII

Data from multiple sensors can boost the automatic recognition of multiple affective states in a multilabel and multimodal recognition system. At any time, the streaming from any of the contributing sensors can be missing. This work proposes a method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce404bb4e13c874af9fe0c37fd5d978
http://hdl.handle.net/10044/1/104858

Recognition of Affective States in Virtual Rehabilitation using Late Fusion with Semi-Naive Bayesian Classifier

Autor: Luis Enrique Sucar, Felipe Orihuela-Espina, Jesus Joel Rivas

Publikováno v: PervasiveHealth
13th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)

Virtual rehabilitation platforms may tailor the rehabilitation tasks to the patients' needs if they could recognize the patient's affective state. Affective states recognition systems can enhance their performance if they receive data coming from dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e602cc5b726f2f83029f0b36c84d31cd
https://doi.org/10.1145/3329189.3329222

Detecting affective states in virtual rehabilitation

Autor: Jesus Joel Rivas, L. Enrique Sucar, Jorge Hernández-Franco, Felipe Orihuela-Espina, Lorena Palafox, Nadia Bianchi-Berthouze

Publikováno v: EAI Endorsed Transactions on Pervasive Health and Technology, Vol 1, Iss 2, Pp 1-6 (2015)
PervasiveHealth
9th International Conference on Pervasive Computing Technologies for Healthcare

Virtual rehabilitation supports motor training following stroke by means of tailored virtual environments. To optimize therapy outcome, virtual rehabilitation systems automatically adapt to the different patients’ changing needs. Adaptation decisio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e5247cbfd35fe44ee22c6f26666a971
http://eudl.eu/doi/10.4108/icst.pervasivehealth.2015.259250

Improving classification of posture based attributed attention assessed by ranked crowd-raters

Autor: Jesus Joel Rivas, Patrick Heyer, Felipe Orihuela-Espina, Luis Enrique Sucar

Publikováno v: EAI Endorsed Transactions on Pervasive Health and Technology, Vol 1, Iss 2, Pp 1-3 (2015)
PervasiveHealth

Attribution of attention from observable body posture is plausible, providing additional information for affective computing applications. We previously reported a promissory 69. 72 ± 10. 50 (μ ± σ) of F-measure to use posture as a proxy for attr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b77a499513e90ae7a1101b08718678c
http://eudl.eu/doi/10.4108/icst.pervasivehealth.2015.259171