Abstract
Clinical neuropsychologists develop comprehensive behavioral profiles on their patients primarily by using paper-and-pencil test stimuli. Despite these tests being significantly cheaper and faster than complex procedures such as MRI scans, multiple drawbacks remain. Constructing these behavioral profiles can take upwards of six hours to fully complete, and the analysis of the sketches from these pencil-and-paper tests is still largely subjective and qualitative. We developed SmartStrokes, a testing suite that implements digital versions of common clinical neuropsychology pencil-and-paper tests, with the purpose of helping to automate and analyze patient sketches using the principles of sketch recognition.
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Clock Drawing Test, Iowa Geriatric Education Center, 2014, https://www.healthcare.uiowa.edu/igec/tools/cognitive/clockDrawing.pdf.
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Acknowledgments
We would like to thank the Texas A&M Health Science Center for the invaluable feedback and guidance in the development of this project. We also thank several team members of Texas A&M’s Sketch Recognition Lab, especially Folami Alamudun, Paul Taele, and all the members who continue to provide feedback and useful sketch data as they aid in completing user studies. Additionally, we would like to thank Nick Melnyk, Laramie Goode, Andy Hurley, Thomas Klingshirn, and Josh Rispoli for their significant contributions during the project’s inception in concept and implementation.
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Lara-Garduno, R., Leslie, N., Hammond, T. (2016). SmartStrokes: Digitizing Paper-Based Neuropsychological Tests. In: Hammond, T., Valentine, S., Adler, A. (eds) Revolutionizing Education with Digital Ink. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-31193-7_11
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DOI: https://doi.org/10.1007/978-3-319-31193-7_11
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