Detecting users handedness for ergonomic adaptation of mobile user interfaces

Author:

Löchtefeld Markus1,Schardt Phillip1,Krüger Antonio1,Boring Sebastian2

Affiliation:

1. German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany

2. University of Copenhagen, Copenhagen, Denmark

Publisher

ACM

Cited by 23 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. The Role of Handedness in Mobile Augmented Reality UI/UX: A Review;2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA);2023-12-13

2. Evaluation of Grasp Posture Detection Method using Corneal Reflection Images through a Crowdsourced Experiment;Companion Proceedings of the 2022 Conference on Interactive Surfaces and Spaces;2022-11-20

3. One-handed Input for Mobile Devices via Motion Matching and Orbits Controls;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-07-04

4. Deep-learning-based unobtrusive handedness prediction for one-handed smartphone interaction;Multimedia Tools and Applications;2022-01-18

5. HandyTrak: Recognizing the Holding Hand on a Commodity Smartphone from Body Silhouette Images;The 34th Annual ACM Symposium on User Interface Software and Technology;2021-10-10

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