Ligature Modeling for Online Cursive Script Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inference and Learning in Hybrid Bayesian Networks
Inference and Learning in Hybrid Bayesian Networks
Self-contained Spatial Input Device for Wearable Computers
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Magic Wand: A Hand-Drawn Gesture Input Device in 3-D Space with Inertial Sensors
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Inertial Sensor Based Recognition of 3-D Character Gestures with an Ensemble of Classifiers
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Airwriting recognition using wearable motion sensors
Proceedings of the 1st Augmented Human International Conference
Airwriting: demonstrating mobile text input by 3D-space handwriting
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Vision-based handwriting recognition for unrestricted text input in mid-air
Proceedings of the 14th ACM international conference on Multimodal interaction
Airwriting: a wearable handwriting recognition system
Personal and Ubiquitous Computing
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3D space handwriting is a gesture-like character written in the air, and it is a promising input method for its portability. In this work, we propose a practical development of 3D space handwriting recognition system by combining 2D handwriting and the ligature of 3D handwriting based on that the most different part between these handwritings is the shape of ligature. We designed a ligature model not to depend on each character shape but to depend only on incoming and outgoing vectors. Therefore with a few ligature models, various ligature shapes are modeled. By using 2D space handwriting models and data, we can use existing models for various writing styles, and overcome the problem of the lack of data.