3 papers
cs.CV2024
PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture
Zhuojun Li, Chun Yu, Chen Liang +1
The data scarcity problem is a crucial factor that hampers the model performance of IMU-based human motion capture. However, effective data augmentation for IMU-based motion captur…
cs.HC2024
CasualGaze: Towards Modeling and Recognizing Casual Gaze Behavior for Efficient Gaze-based Object Selection
Yingtian Shi, Yukang Yan, Zisu Li +4
We present CasualGaze, a novel eye-gaze-based target selection technique to support natural and casual eye-gaze input. Unlike existing solutions that require users to keep the eye-…
cs.HC2024
Bridging the gap between natural user expression with complex automation programming in smart homes
Yingtian Shi, Xiaoyi Liu, Chun Yu +4
A long-standing challenge in end-user programming (EUP) is to trade off between natural user expression and the complexity of programming tasks. As large language models (LLMs) are…