Publications
論文誌 (国内) Spatial Variability Models for Straight Pen-stroking Tasks with Temporal Constraints
Shota Yamanaka, Homei Miyashita (Meiji University)
Journal of Information Processing (JIP)
2025.2.15
We propose spatial-error models for pen-stroking motions to predict variable error VE and total variability TV. These models predict stroke linearity and closeness under different movement distances and times, which are crucial for (e.g.) determining timeout and variability thresholds in gesture recognition systems. Results from our line-tracing task with temporal constraints demonstrated a clear speed-accuracy tradeoff, i.e., spatial errors were worsened at longer distances and shorter times. The best-fit model, which employs an exponential weight for time, yielded adjusted R^2 values of 0.9278 for VE and 0.9339 for TV, outperforming the existing linear error-speed model.
Paper :
Spatial Variability Models for Straight Pen-stroking Tasks with Temporal Constraints
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