5 papers
Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model
Adrian Iste, Kazuki Nishizawa, Chisa Tanaka +4
Digital handwriting acquisition enables the capture of detailed temporal and kinematic signals reflecting the motor processes underlying writing behavior. While handwriting analysi…
From Pen Strokes to Sleep States: Detecting Low-Recovery Days Using Sigma-Lognormal Handwriting Features
Chisa Tanaka, Andrew Vargo, Anna Scius-Bertrand +2
While handwriting has traditionally been studied for character recognition and disease classification, its potential to reflect day-to-day physiological fluctuations in healthy ind…
Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory using Consumer Wearables
Peter Neigel, David Antony Selby, Shota Arai +5
Wearable devices offer detailed sleep-tracking data. However, whether this information enhances our understanding of sleep or simply quantifies already-known patterns remains uncle…
AI Solutionism and Digital Self-Tracking with Wearables
Hannah R. Nolasco, Andrew Vargo, Koichi Kise
Self-tracking technologies and wearables automate the process of data collection and insight generation with the support of artificial intelligence systems, with many emerging stud…
A Review of Cognitive Readiness, Wearable Devices, and Prospects
Tasnim Irtifa Chowdhury, Andrew Vargo, Chris Blakely +2
In Human-Computer Interaction (HCI) and Ubiquitous Computing, the objective of optimizing device interactions and personalizing user experiences has placed a new emphasis on accura…