5 citations · 7 across the 6 of their papers we have counts for
7 papers
Does elderly enjoy playing Bingo with a robot? A case study with the humanoid robot Nadine
Nidhi Mishra, Gauri Tulsulkar, Hanhui Li +1
There are considerable advancements in medical health care in recent years, resulting in rising older population. As the workforce for such a population is not keeping pace, there…
Fast 3D Modeling of Anthropomorphic Robotic Hands Based on A Multi-layer Deformable Design
Li Tian, Hanhui Li, Muhammad Faaiz Khan Bin Abdul Halil +3
Current anthropomorphic robotic hands mainly focus on improving their dexterity by devising new mechanical structures and actuation systems. However, most of them rely on a single…
Boundary-Aware Feature Propagation for Scene Segmentation
Henghui Ding, Xudong Jiang, Ai Qun Liu +2
In this work, we address the challenging issue of scene segmentation. To increase the feature similarity of the same object while keeping the feature discrimination of different ob…
Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis
Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy +2
Hiring robots for the workplaces is a challenging task as robots have to cater to customer demands, follow organizational protocols and behave with social etiquette. In this study,…
SLRMA: Sparse Low-Rank Matrix Approximation for Data Compression
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Low-rank matrix approximation (LRMA) is a powerful technique for signal processing and pattern analysis. However, its potential for data compression has not yet been fully investig…
Low-latency compression of mocap data using learned spatial decorrelation transform
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Due to the growing needs of human motion capture (mocap) in movie, video games, sports, etc., it is highly desired to compress mocap data for efficient storage and transmission. Th…
Human Motion Capture Data Tailored Transform Coding
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Human motion capture (mocap) is a widely used technique for digitalizing human movements. With growing usage, compressing mocap data has received increasing attention, since compac…