A survey on hand pose estimation with wearable sensors and computer-vision-based methods

W Chen, C Yu, C Tu, Z Lyu, J Tang, S Ou, Y Fu, Z Xue - Sensors, 2020 - mdpi.com
Real-time sensing and modeling of the human body, especially the hands, is an important
research endeavor for various applicative purposes such as in natural human computer …

Internet of things based distributed healthcare systems: a review

MN Birje, SS Hanji - Journal of Data, Information and Management, 2020 - Springer
To strengthen healthcare industry, lot of research work is being done to explore new,
accurate and efficient technology for healthcare industry that can monitor and keep track of …

Synthesizing physical character-scene interactions

M Hassan, Y Guo, T Wang, M Black, S Fidler… - ACM SIGGRAPH 2023 …, 2023 - dl.acm.org
Movement is how people interact with and affect their environment. For realistic character
animation, it is necessary to synthesize such interactions between virtual characters and …

Manipnet: neural manipulation synthesis with a hand-object spatial representation

H Zhang, Y Ye, T Shiratori, T Komura - ACM Transactions on Graphics …, 2021 - dl.acm.org
Natural hand manipulations exhibit complex finger maneuvers adaptive to object shapes
and the tasks at hand. Learning dexterous manipulation from data in a brute force way …

Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning

L Liu, J Hodgins - ACM Transactions on Graphics (TOG), 2018 - dl.acm.org
Basketball is one of the world's most popular sports because of the agility and speed
demonstrated by the players. This agility and speed makes designing controllers to realize …

Online optical marker-based hand tracking with deep labels

S Han, B Liu, R Wang, Y Ye, CD Twigg… - Acm transactions on …, 2018 - dl.acm.org
Optical marker-based motion capture is the dominant way for obtaining high-fidelity human
body animation for special effects, movies, and video games. However, motion capture has …

Talking with hands 16.2 m: A large-scale dataset of synchronized body-finger motion and audio for conversational motion analysis and synthesis

G Lee, Z Deng, S Ma, T Shiratori… - Proceedings of the …, 2019 - openaccess.thecvf.com
Abstract We present a 16.2-million frame (50-hour) multimodal dataset of two-person face-to-
face spontaneous conversations. Our dataset features synchronized body and finger motion …

A survey on 3D hand pose estimation: Cameras, methods, and datasets

R Li, Z Liu, J Tan - Pattern Recognition, 2019 - Elsevier
Abstract 3D Hand pose estimation has received an increasing amount of attention,
especially since consumer depth cameras came onto the market in 2010. Although …

Survey on hand-based haptic interaction for virtual reality

Q Tong, W Wei, Y Zhang, J Xiao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Interacting with virtual objects with haptic feedback directly using the user's hand (hand-
based haptic interaction) has attracted increasing attention. Due to the high degrees of …

Learning to use chopsticks in diverse gripping styles

Z Yang, K Yin, L Liu - ACM Transactions on Graphics (TOG), 2022 - dl.acm.org
Learning dexterous manipulation skills is a long-standing challenge in computer graphics
and robotics, especially when the task involves complex and delicate interactions between …