Individual characteristics using pen writing behavior: intra- and inter-individual variability perspectives
Abstract
Several personal authentication technologies are currently available. Writing movements are consistent among individuals, and each person has unique writing habits. Therefore, this study aims to evaluate the intra and inter-individual variability in pen angles to determine whether writing motions can be used for personal authentication. Sixteen right-handed adults participated in this study. Each participant was asked to write a Japanese name consisting of four kanji characters while seated on a chair. This task was repeated five times. Three-dimensional coordinate data were recorded from both ends of the pen using a motion-capture system. Four pen angles were calculated from the collected data: the horizontal plane angle, sagittal plane angle, frontal plane angle, and three-dimensional tilt angle. The angles were analyzed at the beginning of the first stroke of each character and at characteristic movements specific to Japanese kanji writing, such as "tome (stop)", "hane (upward brushstroke)", and "harai (sweeping stroke)". The standard deviation of the five trials was used as an index of intra-individual variability, while the standard deviation of the mean across the participants was used as an index of inter-individual variability. At all analyzed sites, the sagittal angle exhibited smaller intra-individual variability (1.16-1.63°) and larger inter-individual variability (7.46-9.18°) than the other angles. These results suggest that the sagittal plane may be effective for personal identification. At characteristic moments of movement, the horizontal plane angle was larger than the angle at the beginning of writing for both intra variability (2.90-4.29°) and inter-individual variability (11.10-18.92°). This trend was also observed for the other three pen angles. The conditions of small intra-individual variability and large inter-individual variability are ideal for individual identification. However, these findings suggest that the characteristic movements may not be suitable for personal authentication. Further investigation is required to identify the optimal writing motions for authentication purposes.
Keywords: hand, pen writing motion, personal authentication
DOI: 10.54941/ahfe1006639
Cite this paper
More from this volume
- A Lip Reading Recognition System Based on SimAM and TCN
- Developing Effective VR Training Simulations for Additive Manufacturing: A Modular Usability-Driven Design Approach
- Marionette-Inspired Interface: Bridging Traditional Puppetry and Modern Avatar Control
- LightBUY - Developing Cloud Sales Design Specifications from the Ground Up
- Development of Color Universal Design Education System
- Realtime Video Underlay for Accessible Television Graphics
- The Impact of Cultural Values on Human-AI Collaboration in a Decision-Making Task
- The Impact of Time Constraints on Moral Decision-Making during Human-AI Interaction
- Is LLM a reliable risk detector? An evaluation of large language models in EMR-related medical incident detection
- Knowledge of Results (KR) and Vigilance: Are Feedback Effects Due to Information or Motivation?
- Leveraging Digital Twins and Generative AI to Alleviate Loneliness Among Elderly Adults Living Alone Through Smart Flowerpot Design
- The Benefits of Adopting Artificial Intelligence-Technologies in Mitigation Construction Risk in the South African Construction Industry


AHFE Open Access