2 citations · 3 across the 7 of their papers we have counts for
7 papers
Computational Design of Wiring Layout on Tight Suits with Minimal Motion Resistance
Kai Wang, Xiaoyu Xu, Yinping Zhen +4
An increasing number of electronics are directly embedded on the clothing to monitor human status (e.g., skeletal motion) or provide haptic feedback. A specific challenge to protot…
Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking
Jubo Yu, Tianxiang Ren, Shihui Guo +6
In this paper, we follow a data-centric philosophy and propose a novel motion annotation method based on the inherent representativeness of motion data in a given dataset. Specific…
Diverse Motion In-betweening with Dual Posture Stitching
Tianxiang Ren, Jubo Yu, Shihui Guo +5
In-betweening is a technique for generating transitions given initial and target character states. The majority of existing works require multiple (often 10) frames as input, wh…
Enable Natural Tactile Interaction for Robot Dog based on Large-format Distributed Flexible Pressure Sensors
Lishuang Zhan, Yancheng Cao, Qitai Chen +6
Touch is an important channel for human-robot interaction, while it is challenging for robots to recognize human touch accurately and make appropriate responses. In this paper, we…
DisPad: Flexible On-Body Displacement of Fabric Sensors for Robust Joint-Motion Tracking
Xiaowei Chen, Xiao Jiang, Jiawei Fang +5
The last few decades have witnessed an emerging trend of wearable soft sensors; however, there are important signal-processing challenges for soft sensors that still limit their pr…
WristSketcher: Creating Dynamic Sketches in AR with a Sensing Wristband
Enting Ying, Tianyang Xiong, Shihui Guo +3
Restricted by the limited interaction area of native AR glasses (e.g., touch bars), it is challenging to create sketches in AR glasses. Recent works have attempted to use mobile de…
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors
Chaofeng Chen, Xinyu Shi, Yipeng Qin +4
A key challenge of real-world image super-resolution (SR) is to recover the missing details in low-resolution (LR) images with complex unknown degradations (e.g., downsampling, noi…