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Updated: Jun 16, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
Published on: April 21, 2023
Human hand descriptions and gesture recognition for object manipulation
Salvador Cobos1, Manuel Ferre, M Ángel Sánchez-Urán
1Departamento de Automática, Ingeniería Electrónica e Informática Industrial, Universidad Politécnica de Madrid, C/José Gutiérrez Abascal, 2 28006 Madrid, Spain. cobosalvador@etsii.upm.es
Abstract:
This work focuses on obtaining realistic human hand models that are suitable for manipulation tasks. A 24 degrees of freedom (DoF) kinematic model of the human hand is defined. The model reasonably satisfies realism requirements in simulation and movement. To achieve realism, intra- and inter-finger constraints are obtained. The design of the hand model with 24 DoF is based upon a morphological, physiological and anatomical study of the human hand. The model is used to develop a gesture recognition procedure that uses principal components analysis (PCA) and discriminant functions. Two simplified hand descriptions (nine and six DoF) have been developed in accordance with the constraints obtained previously. The accuracy of the simplified models is almost 5% for the nine DoF hand description and 10% for the six DoF hand description. Finally, some criteria are defined by which to select the hand description best suited to the features of the manipulation task.
