Hand
Gesture
Skin
detection is the system of discriminating pores and skin and non-pores and skin
regions in a digital photo and it is widely utilized in several application
ranging from hand gesture analysis to tune frame elements and face detection.
From:
Expert Systems with Applications, 2020
Related
phrases:
A
consumer unbiased hand gesture reputation machine the use of deep CNN feature
fusion and machine mastering method
Jaya
Prakash Sahoo, ... Sarat Kumar Patra, in New Paradigms in Computational Modeling
and Its Applications, 2021
Abstract
Hand
gesture popularity is one of the active studies regions in the discipline of
human-computer interface because of its flexibility and consumer friendliness.
The gesture popularity approach is used to increase a machine that may be used
to carry records amongst disabled humans or for controlling a tool. Major
challenges for the improvement of an green hand gesture reputation method are
illumination version, nonuniform backgrounds, diversities within the size and
shape of a consumer's hand, and high interclass similarities between hand
gesture poses. In this bankruptcy, a person impartial static hand gesture
popularity method is analyzed using handcrafted functions which includes a
histogram of orientated gradients (HOG) and a deep convolutional neural
community (CNN). The deep capabilities are extracted from absolutely related
layers of two distinct well-known pretrained CNNs inclusive of AlexNet and
VGG-sixteen. The fusion of function vectors extracted from distinct completely
connected layers of each the CNNs is proposed for the enhancement of gesture
reputation accuracy.@ Read More webtechon
The proposed CNN-primarily based feature does not require
any hand segmentation or history subtraction method to segment the hand
vicinity from the enter photograph. A help vector gadget as a system gaining
knowledge of set of rules is used to classify the gesture poses. A comparison
of the HOG feature and the deep CNN feature is provided for the popularity of
static hand gesture poses. The proposed deep CNN function fusion-primarily
based hand gesture reputation is powerful to illumination version, nonuniform
backgrounds, and interclass similarities. The overall act of the proposed
approach is evaluated using depart-one-subject-out move-validation (LOO CV) and
holdout CV tests. The great evaluation is completed on 3 benchmark static hand
gesture datasets with uniform and nonuniform backgrounds on each the CV checks.
A vast development of consumer impartial static hand gesture popularity
performance the use of the LOO CV check is located using the proposed method.
The experimental consequences show that the proposed method is advanced
compared to man or woman deep CNN capabilities and present day strategies. A
real-time application of the gesture recognition device is advanced and
examined using the proposed technique.
Emmanuel
Ayodele, ... Des McLernon, in Machine Learning, Big Data, and IoT for Medical
Informatics, 2021
1
Introduction
Hand
gestures are an essential part of nonverbal communique and shape an crucial a
part of our interactions with the environment. Notably, sign language is a
fixed of hand gestures this is treasured to tens of millions of disabled
humans. However, deaf/dumb users experience issue in speaking with the outdoor
international as maximum neither apprehend nor can use signal language. Gesture
popularity and type structures can resource in translating the gestures to
folks that do no longer understand signal language (Yang et al., 2016). In
addition, hand gesture reputation can aid in tracking the development of
sufferers @ Read More inbusinessmarketing
who're convalescing from stroke and rheumatoid arthritis (Watson,
1993). Healthcare professionals can remotely monitor the overall performance of
numerous sufferers using a gesture classification device at a decrease price
and time than the traditional method of physically staring at the joints within
the hand. Furthermore, hand gesture category is a essential tool in
human-laptop interaction. These gestures may be used to manipulate system
inside the place of job and to update conventional enter devices including a
mouse/keyboard in virtual fact programs (Iannizzotto et al., 2001; Conn and
Sharma, 2016).@ Read More mashableworld
There
are essential procedures in the
classification of hand gestures. The first technique is the vision-primarily
based technique. This includes using cameras to accumulate the pose and
movement of the hand and algorithms to method the recorded pix (Kuzmanic and
Zanchi, 2007).
Although this method is popular, it is very computationally
extensive, as photos or films must undergo large preprocessing to segment
functions including the image’s coloration, pixel values, and form of hand
(Rautaray and Agrawal, 2015). Furthermore, the modern geopolitical weather
prevents the giant utility of this approach because customers are much less
inclined to the position of cameras in their personal space, specifically in
applications that require consistent monitoring of the hands (Caine et al.,
2006). Furthermore, digital camera-primarily based approaches restrict the
movement of the consumer to within the digicam’s view. In packages wherein the
consumer will want to carry out their daily activities (e.G., progress
monitoring), more than one cameras are required to continuously song the
person’s motion and will substantially increase the value of the device.@ Read More mombeautytips
