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Found 8 papers, 0 papers with code
Neural Networks for Text Correction and Completion in Keyboard Decoding
Our models achieve a word level accuracy of $90\%$ and a character error rate CER of $2. 4\%$ over the Twitter typo dataset.
The Statistical Model for Ticker, an Adaptive Single-Switch Text-Entry Method for Visually Impaired Users
This paper presents the statistical model for Ticker [1], a novel probabilistic stereophonic single-switch text entry method for visually-impaired users with motor disabilities who rely on single-switch scanning systems to communicate.
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition
Insufficient training data results in over-fitting and data augmentation is one approach to address this challenge.
Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques
Designers reportedly struggle with design optimization tasks where they are asked to find a combination of design parameters that maximizes a given set of objectives.
Encode-Store-Retrieve: Enhancing Memory Augmentation through Language-Encoded Egocentric Perception
Additionally, in a user study, our system received a higher mean response score of 4. 13/5 compared to the human participants' score of 2. 46/5 on real-life episodic memory tasks.
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
However, the task of prompting large language models to specialize in specific text prediction tasks can be challenging, particularly for designers without expertise in prompt engineering.
Towards Open-World Gesture Recognition
We propose leveraging continual learning to make machine learning models adaptive to new tasks without degrading performance on previously learned tasks.
