Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Miguel Arevalillo-Herráez

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Scientific Data|March 14, 2026
A multimodal dataset of harmful simulated behaviours in high-risk clinical settings using radarBenjamin Tilbury, Miguel Arevalillo-Herráez, Naeem Ramzan
Applied Optics|April 2, 2010
Clustering-based robust three-dimensional phase unwrapping algorithmMiguel Arevalillo-Herráez, David R Burton, Michael J Lalor
Applied Optics|November 12, 2009
Hybrid robust and fast algorithm for three-dimensional phase unwrappingMiguel Arevalillo-Herráez, Munther A Gdeisat, David R Burton
Journal of Medical Systems|May 18, 2026
Motion-Based Confidence Score to Support the Practical Application of rPPG Methods in Health MonitoringMiguel Arevalillo-Herráez, Yuyan Wu, Benjamin Tilbury, et al.
Optics Letters|October 2, 2009
Three-dimensional phase unwrapping using the Hungarian algorithmMunther Gdeisat, Miguel Arevalillo-Herráez, David Burton, et al.
Sensors (Basel, Switzerland)|July 11, 2019
Combining Inter-Subject Modeling with a Subject-Based Data Transformation to Improve Affect Recognition from EEG SignalsMiguel Arevalillo-Herráez, Maximo Cobos, Sandra Roger, et al.
Applied Optics|March 16, 2005
Agglomerative clustering-based approach for two-dimensional phase unwrappingMiguel Arevalillo Herráez, Jesús G Boticario, Michael J Lalor, et al.
Sensors (Basel, Switzerland)|April 3, 2021
An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World SituationsAna Serrano-Mamolar, Miguel Arevalillo-Herráez, Guillermo Chicote-Huete, et al.
Applied Optics|February 3, 2016
Aiding phase unwrapping by increasing the number of residues in two-dimensional wrapped-phase distributionsMunther A Gdeisat, David R Burton, Francis Lilley, et al.
ZDM : the International Journal on Mathematics Education|July 27, 2022
Intelligent tutoring systems for word problem solving in COVID-19 days: could they have been (part of) the solution?Javier Del Olmo-Muñoz, José Antonio González-Calero, Pascual D Diago, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Scientific Data|March 14, 2026
A multimodal dataset of harmful simulated behaviours in high-risk clinical settings using radarBenjamin Tilbury, Miguel Arevalillo-Herráez, Naeem Ramzan
Applied Optics|April 2, 2010
Clustering-based robust three-dimensional phase unwrapping algorithmMiguel Arevalillo-Herráez, David R Burton, Michael J Lalor
Applied Optics|November 12, 2009
Hybrid robust and fast algorithm for three-dimensional phase unwrappingMiguel Arevalillo-Herráez, Munther A Gdeisat, David R Burton
Journal of Medical Systems|May 18, 2026
Motion-Based Confidence Score to Support the Practical Application of rPPG Methods in Health MonitoringMiguel Arevalillo-Herráez, Yuyan Wu, Benjamin Tilbury, et al.
Optics Letters|October 2, 2009
Three-dimensional phase unwrapping using the Hungarian algorithmMunther Gdeisat, Miguel Arevalillo-Herráez, David Burton, et al.
Sensors (Basel, Switzerland)|July 11, 2019
Combining Inter-Subject Modeling with a Subject-Based Data Transformation to Improve Affect Recognition from EEG SignalsMiguel Arevalillo-Herráez, Maximo Cobos, Sandra Roger, et al.
Applied Optics|March 16, 2005
Agglomerative clustering-based approach for two-dimensional phase unwrappingMiguel Arevalillo Herráez, Jesús G Boticario, Michael J Lalor, et al.
Sensors (Basel, Switzerland)|April 3, 2021
An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World SituationsAna Serrano-Mamolar, Miguel Arevalillo-Herráez, Guillermo Chicote-Huete, et al.
Applied Optics|February 3, 2016
Aiding phase unwrapping by increasing the number of residues in two-dimensional wrapped-phase distributionsMunther A Gdeisat, David R Burton, Francis Lilley, et al.
ZDM : the International Journal on Mathematics Education|July 27, 2022
Intelligent tutoring systems for word problem solving in COVID-19 days: could they have been (part of) the solution?Javier Del Olmo-Muñoz, José Antonio González-Calero, Pascual D Diago, et al.
Pageof 2