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Cathryn S. Cortesa
Researcher at Johns Hopkins University
Publications - 9
Citations - 101
Cathryn S. Cortesa is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Cognition & Activity recognition. The author has an hindex of 5, co-authored 8 publications receiving 76 citations. Previous affiliations of Cathryn S. Cortesa include University of Nebraska–Lincoln & Assumption College.
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Journal ArticleDOI
In-depth analysis of handwriting curriculum and instruction in four kindergarten classrooms
TL;DR: In this article, the quality of handwriting curriculum and instructional practices in actual classrooms was investigated in an in-depth case study of four inner city kindergarten classrooms using quantitative and qualitative methods, and the handwriting proficiency of students was also evaluated to assess the impact of the instructional practices observed.
Journal ArticleDOI
History of concussion impacts electrophysiological correlates of working memory.
Caitlin M. Hudac,Caitlin M. Hudac,Cathryn S. Cortesa,Cathryn S. Cortesa,Patrick S. Ledwidge,Dennis L. Molfese +5 more
TL;DR: It is suggested that ERPs may be a sensitive and objective measure to detect long-term cognitive consequences of concussion and previously concussed athletes engaged different brain regions compared to athletes with no concussion history.
Journal ArticleDOI
The Influence of Instructional Variables and Task Constraints on Handwriting Performance
TL;DR: The authors evaluated how handwriting instructional practices and intrinsic and extrinsic factors in actual classroom settings impacted learning handwriting over the course of the school year, and found that some instructional practices resulted in a widening performance gap as the year progressed.
Journal Article
Constraints and Development in Children's Block Construction.
Cathryn S. Cortesa,Jonathan D. Jones,Gregory D. Hager,Sanjeev Khudanpur,Barbara Landau,Amy L. Shelton +5 more
Posted Content
Fine-grained activity recognition for assembly videos
Jonathan D. Jones,Cathryn S. Cortesa,Amy L. Shelton,Barbara Landau,Sanjeev Khudanpur,Gregory D. Hager +5 more
TL;DR: This letter uses the fine-grained activity recognition setting to address the task of assembly action recognition in its full generality by unifying assembly actions and kinematic structures within a single framework and develops a general method for recognizing assembly actions from observation sequences, along with observation features that take advantage of a spatial assembly's special structure.