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Related papers: A Survey on Human Interaction Motion Generation

200 papers

Human interaction involves very sophisticated non-verbal communication skills like understanding the goals and actions of others and coordinating our own actions accordingly. Neuroscience refers to this mechanism as motor resonance, in the…

Robotics · Computer Science 2019-05-13 Nuno Ferreira Duarte , Mirko Raković , José Santos-Victor

Handovers are basic yet sophisticated motor tasks performed seamlessly by humans. They are among the most common activities in our daily lives and social environments. This makes mastering the art of handovers critical for a social and…

Robotics · Computer Science 2023-04-06 Parag Khanna , Mårten Björkman , Christian Smith

Group interactions are a natural part of our daily life, and as robots become more integrated into society, they must be able to socially interact with multiple people at the same time. However, group human-robot interaction (HRI) poses…

Robotics · Computer Science 2024-12-23 Massimiliano Nigro , Emmanuel Akinrintoyo , Nicole Salomons , Micol Spitale

Modeling how human moves in the space is useful for policy-making in transportation, public safety, and public health. Human movements can be viewed as a dynamic process that human transits between states (\eg, locations) over time. In the…

Artificial Intelligence · Computer Science 2021-03-24 Hua Wei , Dongkuan Xu , Junjie Liang , Zhenhui Li

Hands are the central means by which humans manipulate their world and being able to reliably extract hand state information from Internet videos of humans engaged in their hands has the potential to pave the way to systems that can learn…

Computer Vision and Pattern Recognition · Computer Science 2020-06-12 Dandan Shan , Jiaqi Geng , Michelle Shu , David F. Fouhey

Over the last decade, Computer Vision, the branch of Artificial Intelligence aimed at understanding the visual world, has evolved from simply recognizing objects in images to describing pictures, answering questions about images, aiding…

Computer Vision and Pattern Recognition · Computer Science 2021-11-16 Ranjay Krishna , Mitchell Gordon , Li Fei-Fei , Michael Bernstein

Humans frequently grasp, manipulate, and move objects. Interactive systems assist humans in these tasks, enabling applications in Embodied AI, human-robot interaction, and virtual reality. However, current methods in hand-object synthesis…

Robotics · Computer Science 2025-03-10 Sammy Christen

Despite rapid advances in video generative models, robust metrics for evaluating visual and temporal correctness of complex human actions remain elusive. Critically, existing pure-vision encoders and Multimodal Large Language Models (MLLMs)…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Xavier Thomas , Youngsun Lim , Ananya Srinivasan , Audrey Zheng , Deepti Ghadiyaram

Human communication is inherently multimodal, involving a combination of verbal and non-verbal cues such as speech, facial expressions, and body gestures. Modeling these behaviors is essential for understanding human interaction and for…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Changan Chen , Juze Zhang , Shrinidhi K. Lakshmikanth , Yusu Fang , Ruizhi Shao , Gordon Wetzstein , Li Fei-Fei , Ehsan Adeli

Human-human motion generation is essential for understanding humans as social beings. Current methods fall into two main categories: single-person-based methods and separate modeling-based methods. To delve into this field, we abstract the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Yabiao Wang , Shuo Wang , Jiangning Zhang , Ke Fan , Jiafu Wu , Zhucun Xue , Yong Liu

Recent advancements in video generation have witnessed significant progress, especially with the rapid advancement of diffusion models. Despite this, their deficiencies in physical cognition have gradually received widespread attention -…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Minghui Lin , Xiang Wang , Yishan Wang , Shu Wang , Fengqi Dai , Pengxiang Ding , Cunxiang Wang , Zhengrong Zuo , Nong Sang , Siteng Huang , Donglin Wang

Human motion generation is a challenging task that aims to create realistic motion imitating natural human behaviour. We focus on the well-studied behaviour of priming an object/location for pick up or put down - that is, the spotting of an…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Masashi Hatano , Saptarshi Sinha , Jacob Chalk , Wei-Hong Li , Hideo Saito , Dima Damen

Human-machine interaction has been around for several decades now, with new applications emerging every day. One of the major goals that remain to be achieved is designing an interaction similar to how a human interacts with another human.…

Human-Computer Interaction · Computer Science 2022-12-27 Tauheed Khan Mohd , Nicole Nguyen , Ahmad Y Javaid

Real-time synthesis of physically plausible human interactions remains a critical challenge for immersive VR/AR systems and humanoid robotics. While existing methods demonstrate progress in kinematic motion generation, they often fail to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Kaiyang Ji , Ye Shi , Zichen Jin , Kangyi Chen , Lan Xu , Yuexin Ma , Jingyi Yu , Jingya Wang

There are many different ways a robot can move in Human-Robot Interaction. One way is to use techniques from film animation to instruct the robot to move. This article is a systematic literature review of human-robot trials, pilots, and…

Robotics · Computer Science 2019-06-07 Trenton Schulz , Jim Torresen , Jo Herstad

Action recognition is a relatively established task, where givenan input sequence of human motion, the goal is to predict its ac-tion category. This paper, on the other hand, considers a relativelynew problem, which could be thought of as…

Computer Vision and Pattern Recognition · Computer Science 2020-07-31 Chuan Guo , Xinxin Zuo , Sen Wang , Shihao Zou , Qingyao Sun , Annan Deng , Minglun Gong , Li Cheng

This paper provides an overview and critical analysis on the modeling and applications of the dynamics of human crowds, where social interactions can have an important influence on the behavioral dynamics of the crowd viewed as a living,…

Physics and Society · Physics 2017-09-21 Nicola Bellomo , Livio Gibelli , Nisrine Outada

Non-verbal social human behavior forecasting has increasingly attracted the interest of the research community in recent years. Its direct applications to human-robot interaction and socially-aware human motion generation make it a very…

Computer Vision and Pattern Recognition · Computer Science 2022-03-07 German Barquero , Johnny Núñez , Sergio Escalera , Zhen Xu , Wei-Wei Tu , Isabelle Guyon , Cristina Palmero

The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more. The proliferation of digital mobility data, such as phone records, GPS…

Machine Learning · Computer Science 2022-05-02 Massimiliano Luca , Gianni Barlacchi , Bruno Lepri , Luca Pappalardo

Perception is essential for the active interaction of physical agents with the external environment. The integration of multiple sensory modalities, such as touch and vision, enhances this perceptual process, creating a more comprehensive…

Robotics · Computer Science 2025-02-10 Enrico Donato , Egidio Falotico , Thomas George Thuruthel
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