Related software is available at github.com/dfki-ric/hand_embodiment. If you use the dataset, please cite our paper: Alexander Fabisch, Manuela Uliano, Dennis Marschner, Melvin Laux, Johannes Brust, Marco Controzzi: "A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations", Proceedings of IEEE-RAS International Conference on Humanoid Robots 2022. A preprint is available here: https://arxiv.org/abs/2203.02778 Experimental protocols were approved by the ethics committee of the University of Bremen. Written informed consent was obtained from all participants for participation in the study and to publish this dataset. This dataset is provided by the Robotics Innivation Center, DFKI GmbH
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Abstract—We present a framework for generating trajecto-ries of the hand movement during manipulatio...
Our primary interaction with the world is through the spontaneous generation of movement. In particu...
The HANDS dataset has been created for human-robot interaction research, and it is composed of spati...
Human-Robot interface is a methodology that is heavily utilized in industrial and commercial applic...
In many industries, gesture replication on robotic hand has a wide scope. It is also found that it i...
This paper presents a methodology to accurately record human finger postures during grasping. The ma...
This work discusses two fundamental problems relating to grasping hand : determining a kinematic mod...
This dataset contains 544 human hand motion trajectories in a point-to-point reaching experiment. Th...
Manipulating objects with robotic hands is a complicated task. Not only the fingers of the hand, but...
This paper presents an application for hand waving in real time using a parallel framework. Analysis...
Abstract—Hand gestures are one of the natural forms of communication in human-robot interaction scen...
This C3D motion capture data supplements the article "Electromyography-Based Validation of a Musculo...
Two files with a dataset of ten different/independent hand gestures are provided (seven static gestu...
This datasets contains motion and force measurements of humans performing various manual tasks, as w...
The Penn Hand-Clapping Motion Dataset is composed of inertial measurement unit (IMU) recordings from...
Abstract—We present a framework for generating trajecto-ries of the hand movement during manipulatio...
Our primary interaction with the world is through the spontaneous generation of movement. In particu...
The HANDS dataset has been created for human-robot interaction research, and it is composed of spati...
Human-Robot interface is a methodology that is heavily utilized in industrial and commercial applic...
In many industries, gesture replication on robotic hand has a wide scope. It is also found that it i...
This paper presents a methodology to accurately record human finger postures during grasping. The ma...
This work discusses two fundamental problems relating to grasping hand : determining a kinematic mod...
This dataset contains 544 human hand motion trajectories in a point-to-point reaching experiment. Th...