Miguel A. Velasco

dblp:178/0140 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2017
0000-0003-2846-167XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 67% Health and well-being technologies · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies
cerebral palsy
0.312017
Human-computer interaction for users with cerebral palsy based on head orientation. Can cursor's movement be modeled by Fitts's law? · Int. J. Hum. Comput. Stud. 2017
Interaction techniques and input › target selection › pointing
cursor control
0.312017
Human-computer interaction for users with cerebral palsy based on head orientation. Can cursor's movement be modeled by Fitts's law? · Int. J. Hum. Comput. Stud. 2017
Interaction techniques and input › target selection › pointing
fitts' law
0.312017
Human-computer interaction for users with cerebral palsy based on head orientation. Can cursor's movement be modeled by Fitts's law? · Int. J. Hum. Comput. Stud. 2017

Methods — techniques the papers use, named apart from their topics

fitts's law modeling · 0.3
YearPublicationVenuePosition
2017 Human-computer interaction for users with cerebral palsy based on head orientation. Can cursor's movement be modeled by Fitts's law?
Miguel A. Velasco, Alejandro Clemotte, Rafael Raya, Ramón Ceres Ruíz, Eduardo Rocon de Lima
Int. J. Hum. Comput. Stud.1
2017 A Novel Head Cursor Facilitation Technique for Cerebral Palsy: Functional and Clinical Implications
abstract
This article evaluates the performance of individuals with cerebral palsy (CP) using an inertial human–computer interface (HCI) based on head movements and a novel facilitation algorithm which we named MouseField. In total, 17 participants from three centers specialized in CP participated in a series of tests that evaluated rapidity and accuracy in pointing tasks using a head mouse named ENLAZA, with and without MouseField. Cluster analysis was used to classify the participants into three categories, C1–C3 ordered by throughput. MouseField improved rapidity in C2 and C3 and accuracy in C3. Although the accuracy of the least impaired (C1, MACS IV–V) decreased, MouseField improved task performance of users with severe motor disorders (MACS V), with decrements of 33.3 and 65.5% in the task execution time. The results show that severely impaired individuals who cannot use traditional input devices could benefit from using MouseField and ENLAZA for a facilitated navigation that minimizes targeting errors.
Miguel A. Velasco, Alejandro Clemotte, Rafael Raya, Ramón Ceres Ruíz, Eduardo Rocon de Lima
Interact. Comput.1