Classifying Human Hand Use and the Activities of Daily Living

Author(s):  
Aaron M. Dollar
Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3035
Author(s):  
Néstor J. Jarque-Bou ◽  
Joaquín L. Sancho-Bru ◽  
Margarita Vergara

The role of the hand is crucial for the performance of activities of daily living, thereby ensuring a full and autonomous life. Its motion is controlled by a complex musculoskeletal system of approximately 38 muscles. Therefore, measuring and interpreting the muscle activation signals that drive hand motion is of great importance in many scientific domains, such as neuroscience, rehabilitation, physiotherapy, robotics, prosthetics, and biomechanics. Electromyography (EMG) can be used to carry out the neuromuscular characterization, but it is cumbersome because of the complexity of the musculoskeletal system of the forearm and hand. This paper reviews the main studies in which EMG has been applied to characterize the muscle activity of the forearm and hand during activities of daily living, with special attention to muscle synergies, which are thought to be used by the nervous system to simplify the control of the numerous muscles by actuating them in task-relevant subgroups. The state of the art of the current results are presented, which may help to guide and foster progress in many scientific domains. Furthermore, the most important challenges and open issues are identified in order to achieve a better understanding of human hand behavior, improve rehabilitation protocols, more intuitive control of prostheses, and more realistic biomechanical models.


Author(s):  
Lisa Reissner ◽  
Gabriella Fischer ◽  
Renate List ◽  
Pietro Giovanoli ◽  
Maurizio Calcagni

The human hand is the most frequently used body part in activities of daily living. With its complex anatomical structure and the small size compared to the body, assessing the functional capability is highly challenging. The aim of this review was to provide a systematic overview on currently available 3D motion analysis based on skin markers for the assessment of hand function during activities of daily living. It is focused on methodology rather than results. A systematic review according to the PRISMA guidelines was performed. The systematic search yielded 1349 discrete articles. Of 147 articles included on basis of title, 123 were excluded after abstract review, and 24 were included in the full-text analysis with 13 key articles. There is still limited knowledge about hand and finger kinematics during activities of daily living. A standardization of the task is required in order to overcome the nonrepetitive nature and high variability of upper limb motion and ensure repeatability of task performance. To yield a progress in the analysis of human hand movements, an assessment of human kinematics including fingers, wrist, and thumb and an identification of relevant parameters that characterize a healthy motion pattern during functional tasks are needed.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2594
Author(s):  
Javier Cepriá-Bernal ◽  
Antonio Pérez-González

Successful grasping with multi-fingered prosthetic or robotic hands remains a challenge to be solved for the effective use of these hands in unstructured environments. To this end, currently available tactile sensors need to improve their sensitivity, robustness, and spatial resolution, but a better knowledge of the distribution of contact forces in the human hand in grasping tasks is also necessary. The human tactile signatures can inform models for an efficient control of the artificial hands. In this study we present and analyze a dataset of tactile signatures of the human hand in twenty-one representative activities of daily living, obtained using a commercial high spatial resolution pressure sensor. The experiments were repeated for twenty-two subjects. The whole dataset includes more than one hundred million pressure data. The effect of the task and the subject on the grip force and the contribution to this grip force made by the different hand regions were analyzed. We also propose a method to effectively synchronize the measurements from different subjects and a method to represent the tactile signature of each task, highlighting the hand regions mainly involved in the task. The correlations between hand regions and between different tasks were also analyzed.


Author(s):  
James Buffi ◽  
James Hoover ◽  
Joseph J. Crisco ◽  
Wendy M. Murray

Over 80% of activities of daily living involve grasping or seizing objects with the hand [1]. The carpometacarpal (CMC) joints of the hand and wrist, the five joints that articulate the distal row of carpal bones and the proximal bases of the five metacarpal bones, are particularly important for prehensile tasks involving the opposition of the ring and little fingers with the thumb, such as during precision grasping. In addition, impairment of the CMC joints can weaken grip strength [2].


2013 ◽  
Vol 432 ◽  
pp. 386-391
Author(s):  
Hisyam Abdul Rahman ◽  
Goh Chok How ◽  
Yeong Che Fai ◽  
Eileen Su Lee Ming

Reaching movement is one of the important training for stroke patient to recover the impairment arm as this movement is critical for activities of daily living. A studied conducted to investigate the minimal requirement that a rehabilitation robot should have in order to train reaching movement in upward after the impairment arm start to overcome gravity. Result show some convex, linear and concave trajectory during reaching movement in upward direction depended on the level of the target distance. This study can be applied for designing a new simpler or improvement of the existing rehabilitation robot to train the upper limb for stroke patient.


1997 ◽  
Vol 24 (6) ◽  
pp. 457-460 ◽  
Author(s):  
H. MIURA ◽  
Y. ARAKI ◽  
T. UMENAI

1963 ◽  
Author(s):  
Sidney Katz ◽  
Amasa B. Ford ◽  
Roland W. Moskowitz ◽  
Beverly A. Jackson ◽  
Marjorie W. Jaffe

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