!FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances-Reference-Cited by-同舟云学术

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!FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances

Published:2018-10-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th ACM International Conference on Multimodal Interaction
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Author:

Vanderdonckt Jean¹,Roselli Paolo²,Pérez-Medina Jorge Luis³

Affiliation:

1. Université catholique de Louvain, Louvain-la-Neuve, Belgium

2. Università degli Studi di Roma & Université catholique de Louvain, Louvain la-Neuve, Belgium

3. Universidad de las Américas & Université catholique de Louvain, Louvain-la-Neuve, Belgium

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3242969.3243032

Reference66 articles.

1. Scale detection for a priori gesture recognition

2. Using strokes as command shortcuts

3. MAGIC

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A geometric algebra-based approach for myoelectric pattern recognition control and faster prosthesis recalibration;Expert Systems with Applications;2024-11

2. Gesture‐Based Computing;Handbook of Human‐Machine Systems;2023-07-07

3. Effective 2D Stroke-based Gesture Augmentation for RNNs;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

4. A Geometric Model-Based Approach to Hand Gesture Recognition;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2022-10

5. Two-dimensional Stroke Gesture Recognition;ACM Computing Surveys;2022-09-30

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