Feb 15,  · This paper presents to the best of our knowledge the first quantitative taxonomy of hand grasps based on biomedical data measurements. The taxonomy is based on electromyography and kinematic data recorded from 40 healthy subjects performing 20 unique hand grasps. For each subject, a set of hierarchical trees are computed for several signal www.- by: Nov 10,  · Three trials were video-recorded for each object. A total of grasps were analysed and rated using a custom-designed Functional Grasp Scale. Eight grasp-types were identified from the analysis: healthy subjects used Multi-pulpar, Pluri-digital, Lateral-pinch and Palmar grasps (Standard Grasps). Patients used the same grasps with in addition Digito-palmar, Raking, Ulnar and Interdigital grasps (Alternative Grasps).Cited by: 7. Jan 01,  · The most relevant grasps are pad-to-pad pinch (%), lumbrical (%), cylindrical (12%), and special pinch (%) together with the nonprehensile (%) use of the hand. Lumbrical grasp has higher relevance for the left hand (% vs 12%) while cylindrical grasp for the right hand (% vs %).Cited by: 5.
Nov 10,  · Three trials were video-recorded for each object. A total of grasps were analysed and rated using a custom-designed Functional Grasp Scale. Eight grasp-types were identified from the analysis: healthy subjects used Multi-pulpar, Pluri-digital, Lateral-pinch and Palmar grasps (Standard Grasps). Patients used the same grasps with in addition Digito-palmar, Raking, Ulnar and Interdigital grasps (Alternative Grasps).Cited by: 7. Jan 01,  · The most relevant grasps are pad-to-pad pinch (%), lumbrical (%), cylindrical (12%), and special pinch (%) together with the nonprehensile (%) use of the hand. Lumbrical grasp has higher relevance for the left hand (% vs 12%) while cylindrical grasp for the right hand (% vs %).Cited by: 5. Levine, S, Pastor, P, Krizhevsky, A, Ibarz, J, Quillen, D () Learning hand–eye coordination for robotic grasping with deep learning and large-scale data collection. The International Journal of Robotics Research 37(4–5): –

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