Scientists get excited at the topic of gesture recognition. It is a challenge that many people are trying to solve to create robots and machines that can recognize a human being's facial expression and movements.
If this is done right, computers will able to interpret them and react accordingly. This technology has so many applications in robotics and automation. Currently, the main challenge is to put the mathematical expressions in the robots so they can read human movements and interpret them accordingly.
Hand Gesture Recognition
- HandVu: Vision-Based Hand Gesture Interface – here is a resource that will introduce you to this technology. It shows how current user interfaces are not yet fully equipped to recognize hand gestures. This resource is a dissertation about how computer vision can be a useful technology to make hand gesture recognition better than where it is at right now.
- Hand Gesture Recognition for Human Computer Interaction – this is a good read if you are looking for a resource that will elaborate on creating the system to make this happen. It also shows some things about algorithms for static and dynamic recognition.
- Graphics and Visualization – this is an article that shows computer visualization techniques. It tells you how this technology is currently being used today.
- Computer Vision Centre – this is a group dedicated to following research and developments about machine learning.
- Vision-Based Hand Gesture Recognitio – this site links to a book where you can find more advancement in the development of this technology. The site gives an abstract about the book and provides a problem statement about the technology, as well as the scope of the study.
- A Real-Time Static & Dynamic Hand Gesture Recognition System – this is a link to a paper that studies this technology, and it also shows the methods and the results of the study.
- Dynamic Hand Recognition – this is a link to a comparative study about dynamic hand gesture.
Facial Gesture Recognition
This technology is a way to create an effective means for computers to execute commands without physical contact. Today, there are computer interfaces that can coordinate commands using facial expressions.
The goal of this area of science is to create machines that can understand emotions. These machines can accurately interpret what a person is feeling, despite the millions of differences between human expressions.
It works like hand recognition, but it solely focuses on facial muscles and contractions.
Despite its existence, this technology is also beset with issues. And the primary problem is that people have different faces. Hands have fewer contractions and movements, so it is easier to develop hand gesture technology than facial gesture technology.
- Face and Gesture Recognition: Overview – this site takes you to an overview of a study about this field. It studies how it would be beneficial between humans and computers.
- Facial Gesture Recognition Using Correlation And Mahalanobis Distan – this one is a particular study on how we can augment the synthesis of facial expressions, and make use of them in security processes and clinical practices.
- The Smart Mirror – here is an article about a new product, a mirror, where you can take selfies by merely blinking. The product is called MirrorCool.
- Facial Expression Recognition – this sire shows what facial expression recognition is about, why it is important, and how it can work with technology.
- Head Gesture Recognition – here, you will be taken to an introduction for a book that you can download to study further how head gesture recognition plays a role for effective interfaces.
- Eye Gesture Recognition – this is a scholarly article about eye recognition technology and how they are being used in portable devices.
The Uses of Gesture Recognition
Gesture recognition has many practical uses. It can be used in the field of medicine, in the construction business, and many other situations. In fact, it can be used in many situations that present clear danger to humans. It can be used in exploration not just in other planets but in dangerous terrains.
It can be used in technologies where people with handicaps are prevented from functioning normally. It can also be used in communications such as via sign language. A branch of it, called face recognition, can help robots understand what a person is going through, and it can be used in the reinforcement of security.
Sign Language Recognition
Sing language recognition is another filed that dedicated scientists are advancing. It is an area that is primarily being developed for the hearing impaired. Those who cannot talk will also benefit from this, as they supply have to signal to a machine what they wish to get done, and the machine will execute it.
Soon, the deaf or those how are hard of hearing will be equipped with tools that will provide them with a better quality of life. They will find it easier to communicate with people and machines.
To make this technology possible, researchers will have to spend a lot of time coding different sign language standards, and they also have to create a computer language that will interpret these physical signs.
The methods have to be flawless, and they have to make sure that the machines are capable of interpreting and recording fluid and continuous hand gestures. Accuracy is also of the utmost importance, and there is a growing need to have a camera that has the capability to record even the smallest amount of details from hand gestures.
- Sign Language Recognition – this is a study of how sign language recognition is made possible by using images. You need to download the book and be a member to continue reading.
- Using Multiplied Sensors for Mobile Sign Language Recognition – this is a PDF that explores how cameras and accelerometers are used for gesture recognition, and now it helps handicapped individuals.
- Real-Time Sign Language Recognition – this is a study from Stanford. It involves the convolutional neural networks, and it takes the reader to the technology's approaches and methods, its development, and it also shows some data sets and features.
- Research and Implementation of Sign Language Recognition – this is an abstract of a book about the ongoing research exercises about sign language recognition. Here, you will be reading excerpts about the technology's motivation, and sign linguistics, and more.
- Real-Time ASL Sign Language Recognition – this study takes the reader to different models used in the development of sign language recognition in reference to the ASL standards. It also discussed the first person view of wearable sign language recognition devices.
- Arabic Sign Language Recognition – in this site, you will be reading the result of a study concerning a recognition system for the hearing-impaired. It also takes the reader to an introduction to the sensors used, and how technology was developed to translate isolated Arabic words into meaningful visual SLRS.
- Translation of Sign Language Recognition – this resource tells us how technologies have evolved to have the capability to translate sign language into text, and then back into sign language.
Summary
There is a myriad of ongoing research about how we can synthesize technology and natural resources to blend together. These studies are focused on analyzing human gestures, and then creating robots and software that can read these gestures.
In turn, these robots will react appropriately and interpret these gestures. This technology can be used in many facets of life. It can be used for entertainment, for gaming, for medical activities, for remote operations like exploring uncharted territories.
It can be used for voice commands, robotic operations, and other electronic applications.
Soon, we can even introduce this technology and keyboards will no longer be necessary. Over the course of research, it may even be possible that the way we interact with machines and robots will all be governed by gesture recognition.