Gestural interaction has evolved from a set of novel interaction techniques developed in research labs, to a dominant interaction modality used by millions of users everyday …
A method for hand pose identification in an automated system includes providing depth map data of a hand of a user to a first neural network trained to classify features corresponding to …
Significant tool support exists for the development of mixed reality (MR) applications; however, there is a lack of tools for analyzing MR experiences. We elicit requirements for …
J Wang, J Ma, K Hu, Z Zhou, H Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Conventional racket sports training highly relies on coaches' knowledge and experience, leading to biases in the guidance. To solve this problem, smart wearable devices based on …
H Ye, H Fu - Proceedings of the 2022 CHI Conference on Human …, 2022 - dl.acm.org
Real-world IoT enhanced spaces involve diverse proximity-and gesture-based interactions between users and IoT devices/objects. Prototyping such interactions benefits various …
We present in this paper a scoping review conducted in the interactive clustering area. Interactive clustering has been applied to leverage the strengths of both unsupervised and …
M Speicher, M Nebeling - Proceedings of the 2018 CHI Conference on …, 2018 - dl.acm.org
Designers and researchers often rely on simple gesture recognizers like Wobbrock et al.'s 1forrapiduserinterfaceprototypes.However,mostexistingrecognizersarelimitedtoapartic …
Y Cheng, Z Wu, R Xiao - IEEE Access, 2024 - ieeexplore.ieee.org
Gesture elicitation is a fundamental method for constructing gesture-based interactive systems. Existing research has shown that this method allows users' knowledge to serve as …
Appropriate gestures can enhance message delivery and audience engagement in both daily communication and public presentations. In this article, we contribute a visual analytic …