The GRASP Taxonomy of Human Grasp Types

• Published in: IEEE transactions on human-machine systems Vol. 46; no. 1; pp. 66 - 77
• Main Authors: Feix, Thomas, Romero, Javier, Schmiedmayer, Heinz-Bodo, Dollar, Aaron M., Kragic, Danica
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Classification; Fingers; Force; Grasping; Hand/wrist posture; Human; human factors; Human-computer interface; human-robot interaction; Man machine systems; robotics; Robots; Shape; taxonomies; Taxonomy; Terminology; Thumb; User interfaces; Vocabularies & taxonomies; robotics; Hand/wrist posture; taxonomies; human–robot interaction; human factors
• ISSN: 2168-2291; 2168-2305; 2168-2305
• DOI: 10.1109/THMS.2015.2470657

In this paper, we analyze and compare existing human grasp taxonomies and synthesize them into a single new taxonomy (dubbed "The GRASP Taxonomy" after the GRASP project funded by the European Commission). We consider only static and stable grasps performed by one hand. The goal is to extract the largest set of different grasps that were referenced in the literature and arrange them in a systematic way. The taxonomy provides a common terminology to define human hand configurations and is important in many domains such as human-computer interaction and tangible user interfaces where an understanding of the human is basis for a proper interface. Overall, 33 different grasp types are found and arranged into the GRASP taxonomy. Within the taxonomy, grasps are arranged according to 1) opposition type, 2) the virtual finger assignments, 3) type in terms of power, precision, or intermediate grasp, and 4) the position of the thumb. The resulting taxonomy incorporates all grasps found in the reviewed taxonomies that complied with the grasp definition. We also show that due to the nature of the classification, the 33 grasp types might be reduced to a set of 17 more general grasps if only the hand configuration is considered without the object shape/size.