scholarly journals Adopting the Principle of Closed Set to People Identification Based on Human Hand Geometry

2010 ◽  
Vol 7 (3) ◽  
pp. 105-120
Author(s):  
Maha Al-Hasoo ◽  
Zeena Al-kateeb
Keyword(s):  
Human Hand ◽  
Closed Set ◽  
Hand Geometry

scholarly journals Enhanced Multimodal Biometric Recognition Based upon Intrinsic Hand Biometrics

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1916
Author(s):  
Syed Aqeel Haider ◽  
Yawar Rehman ◽  
S. M. Usman Ali
Keyword(s):  
Near Infrared ◽  
Pulse Response ◽  
Human Hand ◽  
Response Hand ◽  
Inference System ◽  
Finger Vein ◽  
L2 Norm ◽  
Image Dataset ◽  
Hand Geometry ◽  
Human Hands

In the proposed study, we examined a multimodal biometric system having the utmost capability against spoof attacks. An enhanced anti-spoof capability is successfully demonstrated by choosing hand-related intrinsic modalities. In the proposed system, pulse response, hand geometry, and finger–vein biometrics are the three modalities of focus. The three modalities are combined using a fuzzy rule-based system that provides an accuracy of 92% on near-infrared (NIR) images. Besides that, we propose a new NIR hand images dataset containing a total of 111,000 images. In this research, hand geometry is treated as an intrinsic biometric modality by employing near-infrared imaging for human hands to locate the interphalangeal joints of human fingers. The L2 norm is calculated using the centroid of four pixel clusters obtained from the finger joint locations. This method produced an accuracy of 86% on the new NIR image dataset. We also propose finger–vein biometric identification using convolutional neural networks (CNNs). The CNN provided 90% accuracy on the new NIR image dataset. Moreover, we propose a robust system known as the pulse response biometric against spoof attacks involving fake or artificial human hands. The pulse response system identifies a live human body by applying a specific frequency pulse on the human hand. About 99% of the frequency response samples obtained from the human and non-human subjects were correctly classified by the pulse response biometric. Finally, we propose to combine all three modalities using the fuzzy inference system on the confidence score level, yielding 92% accuracy on the new near-infrared hand images dataset.

Vibrational analysis of the human hand

1976 ◽  
Author(s):  
C. W. Suggs ◽  
John Wayne Mishoe
Keyword(s):  
Vibrational Analysis ◽  
Human Hand

Uncountable Matter

2017 ◽  
Vol 39 (1) ◽  
pp. 17-41
Author(s):  
Jacques Lezra
Keyword(s):  
New Materialism ◽  
Human Hand ◽  
Face To Face ◽  
The World ◽  
Human Animal

Humanism returns for the New Materialism in ‘nonhuman’ form as matter. New ‘matter’ and new materialism thus fashion the world to human advantage in the gesture of abjecting us. They commit us to the humanism of masochists. They offer an animistic and paradisiacal realm of immediate transactions, human to human, human to and with nonhuman, face to face, world without end. The impulse is tactically and strategically useful. But ‘matter’ will not help us if we fashion it so that it bears in its concept the signature of a human hand in its making. Can we do otherwise? Only by conceiving matter as what absolutizes what is not-one: matter from which no discipline will normally, normatively, produce an object or take its concept; on which heroical abjection will founder; matter non-human in ways the human animal can neither designate, nor ever count.

ON A NEW CLASS OF SEMI GENERALIZED CLOSED SETS IN STRONG GENERALIZED TOPOLOGICAL SPACES

2020 ◽  
Vol 9 (11) ◽  
pp. 9353-9360
Author(s):  
G. Selvi ◽  
I. Rajasekaran
Keyword(s):  
Topological Spaces ◽  
Closed Set ◽  
Basic Properties ◽  
Closed Sets ◽  
New Class ◽  
Open Set ◽  
Continuous Maps

This paper deals with the concepts of semi generalized closed sets in strong generalized topological spaces such as $sg^{\star \star}_\mu$-closed set, $sg^{\star \star}_\mu$-open set, $g^{\star \star}_\mu$-closed set, $g^{\star \star}_\mu$-open set and studied some of its basic properties included with $sg^{\star \star}_\mu$-continuous maps, $sg^{\star \star}_\mu$-irresolute maps and $T_\frac{1}{2}$-space in strong generalized topological spaces.

scholarly journals A Systematic Review of EMG Applications for the Characterization of Forearm and Hand Muscle Activity during Activities of Daily Living: Results, Challenges, and Open Issues

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3035
Author(s):  
Néstor J. Jarque-Bou ◽  
Joaquín L. Sancho-Bru ◽  
Margarita Vergara
Keyword(s):  
Activities Of Daily Living ◽  
Musculoskeletal System ◽  
Muscle Activity ◽  
Daily Living ◽  
Muscle Activation ◽  
Human Hand ◽  
Hand Motion ◽  
Biomechanical Models ◽  
Rehabilitation Protocols ◽  
Open Issues

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.

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