Gesture recognition technology allows humans to interact with machines through visible bodily motions rather than speech or physical devices. This document discusses the types of gestures, including hand movements and facial expressions, and how gesture recognition systems work by using input devices like cameras to interpret motions and control applications. Some applications of this technology include sign language translation, immersive gaming, assistive devices for disabled individuals, and remote controls. Both advantages like intuitive interaction and disadvantages like requiring specific arm positions are outlined.
Gesture recognition is a topic in computer science and language technology which interpret human gestures via mathematical algorithms.
Gestures can originate from any bodily motion or state but commonly originate from the face or hand.
Gesture recognition enables humans to communicate with the machine (HMI) and interact naturally without any mechanical devices.
The Gesture Recognition Technology is rapidly growing technology and this PPT describes about the working of gesture recognition technology,the sub fields in it, its applications and the challenges it faces.
The Gesture Recognition Technology is rapidly growing technology and this PPT describes about the working of gesture recognition technology,the sub fields in it, its applications and the challenges it faces.
Gesture recognition is a topic in computer science and language technology which interpret human gestures via mathematical algorithms.
Gestures can originate from any bodily motion or state but commonly originate from the face or hand.
Gesture recognition enables humans to communicate with the machine (HMI) and interact naturally without any mechanical devices.
The Gesture Recognition Technology is rapidly growing technology and this PPT describes about the working of gesture recognition technology,the sub fields in it, its applications and the challenges it faces.
The Gesture Recognition Technology is rapidly growing technology and this PPT describes about the working of gesture recognition technology,the sub fields in it, its applications and the challenges it faces.
It is the best and attractive ppt of Gesture Recognition Technology...This is the TOUCHLESS technology...and will surely hit the market...in coming days.
The project is about building a human-computer interaction system
using hand gesture by cheap alternative to depth camera. We present
a robust , efficient and real-time technique for depth mapping using
normal 2D -camera and Infrared LED arrays . We use HOG feature
based SVM classifiers to predict hand pose and dynamic hand gestures . The system also tracks hand movements and events like grabbing and
clicking bythe hand.
The goal of this project is to provide a platform that allows for communication between able-bodied and disabled people or between computers and human beings. There has been great emphasis on Human-Computer-Interaction research to create easy-to-use interfaces by directly employing natural communication and manipulation skills of humans . As an important part of the body, recognizing hand gesture is very important for Human-Computer-Interaction. In recent years, there has been a tremendous amount of research on hand gesture recognition
-Integrating information with real world.
-The s/w program processes the video stream data captured by the camera and tracks the location of colored markers using simple computer vision techniques.
It is the best and attractive ppt of Gesture Recognition Technology...This is the TOUCHLESS technology...and will surely hit the market...in coming days.
The project is about building a human-computer interaction system
using hand gesture by cheap alternative to depth camera. We present
a robust , efficient and real-time technique for depth mapping using
normal 2D -camera and Infrared LED arrays . We use HOG feature
based SVM classifiers to predict hand pose and dynamic hand gestures . The system also tracks hand movements and events like grabbing and
clicking bythe hand.
The goal of this project is to provide a platform that allows for communication between able-bodied and disabled people or between computers and human beings. There has been great emphasis on Human-Computer-Interaction research to create easy-to-use interfaces by directly employing natural communication and manipulation skills of humans . As an important part of the body, recognizing hand gesture is very important for Human-Computer-Interaction. In recent years, there has been a tremendous amount of research on hand gesture recognition
-Integrating information with real world.
-The s/w program processes the video stream data captured by the camera and tracks the location of colored markers using simple computer vision techniques.
Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand.
Gesture Recognition Technology has evolved greatly over the years. The past has seen the contemporary Human Computer Interface techniques and their drawbacks, which limit the speed and naturalness of the human brain and body. As a result gesture recognition technology has developed
Real time hand gesture recognition system for dynamic applicationsijujournal
Virtual environments have always been considered as a means for more visceral and efficient human computer interaction by a diversified range of applications. The spectrum of applications includes analysis of complex scientific data, medical training, military simulation, phobia therapy and virtual prototyping.
Evolution of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are
not sufficient for the still widening spectrum of Human computer interaction. Gloves and sensor based trackers are unwieldy, constraining and uncomfortable to use. Due to the limitation of these devices the useable command set based diligences is also limited. Direct use of hands as an input device is an
innovative method for providing natural Human Computer Interaction which has its inheritance from textbased interfaces through 2D graphical-based interfaces, multimedia-supported interfaces, to full-fledged multi-participant Virtual Environment (VE) systems. Conceiving a future era of human-computer
interaction with the implementations of 3D application where the user may be able to move and rotate objects simply by moving and rotating his hand - all without help of any input device.
Real time hand gesture recognition system for dynamic applicationsijujournal
Virtual environments have always been considered as a means for more visceral and efficient human computer interaction by a diversified range of applications. The spectrum of applications includes analysis of complex scientific data, medical training, military simulation, phobia therapy and virtual prototyping. Evolution of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are not sufficient for the still widening spectrum of Human computer interaction. Gloves and sensor based trackers are unwieldy, constraining and uncomfortable to use. Due to the limitation of these devices the useable command set based diligences is also limited. Direct use of hands as an input device is an innovative method for providing natural Human Computer Interaction which has its inheritance from textbased interfaces through 2D graphical-based interfaces, multimedia supported interfaces, to full-fledged multi-participant Virtual Environment (VE) systems. Conceiving a future era of human-computer interaction with the implementations of 3D application where the user may be able to move and rotate objects simply by moving and rotating his hand - all without help of any input device. The research effort centralizes on the efforts of implementing an application that employs computer vision algorithms and gesture recognition techniques which in turn results in developing a low cost interface device for interacting with objects in virtual environment using hand gestures. The prototype architecture of the application comprises of a central computational module that applies the camshift technique for tracking of hands and its gestures. Haar like technique has been utilized as a classifier that is creditworthy for locating hand position and classifying gesture. The patterning of gestures has been done for recognition by mapping the number of defects that is formed in the hand with the assigned gestures. The virtual objects are produced using Open GL library. This hand gesture recognition technique aims to substitute the use of mouse for interaction with the virtual objects. This will be useful to promote controlling applications like virtual games, browsing images etc in virtual environment using hand gestures.
Real Time Vision Hand Gesture Recognition Based Media Control via LAN & Wirel...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
The Sixth Sense is the Basic Latest Technology. It is the a wearable gestural interface that augments the physical world around us with digital information
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
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1. Submitted to: Submitted by:
Asst. Prof. Mrs. Subhadra Mishra Abhipsa Biswal
13 mca/16 ( 5th sem )
2. What is Gesture?
Types of Gestures
What is Gesture Recognition
Basic working of GestureTechnology
Types of Gesture Recognition
Technology behind it / Input devices
Uses
Advantages & Disadvantages
Conclusion
References
3. A gesture is a form of non-verbal communication in which
visible bodily actions communicate particular messages,
either in place of speech or together and in parallel with
words.
Gestures include movements of the hands, face, or other
parts of the body.
Gestures are an important aspects of human interaction,
both interpersonally and in the context of man-machine
interfaces.
4. Military Air Marshals use hand and body gestures to direct
flight operations aboard aircraft carriers.
5. In computer interfaces, two types of gestures are
distinguished.
Offline gestures: Those gestures that are processed after
the user interaction with the object. An example is to
activate a menu.
Online gestures: Direct manipulation gestures. They are
used to scale or rotate a tangible object.
6. A smart T.V recognizing
the hand movements to
control the channels or to
select an option from the
menu.
Gesture recognition software
in laptop that recognizes the
movement of fingers used for
performing various tasks.
7. Gesture recognition is a topic in computer science and
language technology with the goal of interpreting human
gestures via mathematical algorithms.
Interface with computers using gestures of the human body,
typically hand movements.
Gesture recognition is an important skill for robots that work
closely with humans.
In this technology a camera reads the movement of the
human body and communicates the data to a computer that
uses gestures as input to control devices and applications.
8. Here we can see that user
action is captured by a
camera and the image is
fed into the Gesture
Recognition System, in
which it is processed and
compared.
The virtual object is then
updated accordingly and
the user interfaces with
machine with the help of
user interface display.
9. a) Hand gesture recognition
b) Facial gesture recognition
c) Sign language recognition
10. This type of technology allows operations of complex machines
by using only a series of fingers and hand movements, eliminating
the physical contact between the operator and machine.
11.
12. It creates an effective non-
contact interface between
users and their machines. The
goal is to make machine
which will understand human
emotions.
Even most cameras detects
our smile to automatically
click a picture.
13. Certain types of software can
translate the symbols into text
which is represented through sign
language.
Effective sign language can help
the deaf people to communicate
with both other people as well as
the machine.
It uses different mediums such as
hands, face or eyes rather than
the vocal tract or ears for
communication purpose.
14. Input devices are used to track a person’s movement and
they will determine what actions they may be performing.
Such input devices are:
Wired gloves
Stereo cameras
Depth-aware cameras
Thermal cameras
Controller based gesture
15. It provide input to the computer by
giving information about position
and rotation of hands.
Also known as Data Glove, a Glove-
type device which could detect
hand position, finger bending.
This device uses fibre optic cables
running down the back of the hand.
Light pulses are created and when
fingers are bent, light leaks
through the small cracks and it
gives the hand position.
16. It is a camera that has two
lenses about the same
distance apart as our eyes.
It takes two picture at the
same time.
Therefore it creates a 3D
effect of the image and the
representation can be
calculated by the output of
the cameras.
17. It consists of specialized
cameras that one can generate a
map of what is being seen
through the camera within the
short range.
It is also used to create 3D
representation of an object.
Due to their short range of
capabilities these are very
effective for detection of hand
gestures.
18. It is an infrared camera that
detects infrared radiation(i.e
temperature) from the target
object & converts it into an
electronic signal to generate a
thermal picture on monitor.
Also used to make temperature
calculations on it.
It not only observes the thermal
behaviour but also used for
calculation of temperature
related problems.
19. These controller acts as an extension of the body so that when
gestures performed, some of their motions can be captured by the
software.
23. Disadvantages
Some restrictions are
there such as the arm
must be vertical, the
palm is facing the
camera etc.
The finger colour must
be basic colour such as
red or green or blue.
Advantages
Fast and reliable.
Simple and easy to
implement.
Could be applied on
mobile robot control.
No training is required.
24. The importance of gesture recognition lies in building
efficient human machine interaction. Its applications range
from sign language recognition through medical rehabilitation
to virtual reality. Gesture recognition soft computing tools
pose another promising application to static hand gesture
identification. Thus, gesture recognition promises wide-
ranging applications in fields from photo journalism through
medical technology to biometrics.
