1 Introduction
1.1 Problem Description
Nowadays, disadvantages people such as visually impaired people are around the world. According to World Health Organization (WHO) estimated in 2013, there are 285 million of world population who are visually impaired. Furthermore, 39 millions out of the population are blind. These people require assistance in their daily life such as locating and grabbing objects (i.e. a cup, a key, etc.) which may have been fallen or misplaced. This is because, they have less information about the environment. Hence, developing assistive technology and handheld devices can help them to increase the independence and inconveniences. The final goal is to improve their life with today's state-of-the-art technology.
1.2 Motivation
Visually impaired people encounter inconvenience when interacting with their surrounding environments. The most challenge is to find a specific object. This proposed system is designed in such a way to help the visually impaired people to increase the ease to navigate hand to locate and grab their necessities in an environment. Computer vision and image processing play an important role in this system. Images contain many information that can be used to aid them understand the surrounding environment well. Also, every object has its own local features such as regions, blobs and points. By using the feature points in the images, it is easier for object recognition that can help visually impaired. Therefore, using this method, visually impaired people can reduce their inconveniences and improve their life.
1.3 Proposed Approach
Figure 1 Feature points finding process.
Generally, the object detection is simplified in a way that the system will focus on pre-determined invariant SURF fe...
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...ems in daily life through a wearable web camera in order to reduce the inconveniences. Additionally, it can guide user’s hand to locate and grab their necessities in an environment.
The main focus of this system is on employing feature points for object recognition. Speed-Up Robust Feature (SURF) is rotation invariant and scale invariant. It can handle image translation, scaling, change in viewpoint and rotation between objects in the cluttered background. Thus, it is being used as feature detector and feature descriptor for this system.
6.1 Future Works
The future work will concentrate on enhancing object recognition system so that it can better identify and detect objects in different conditions. Besides that, Human Computer Interface (HCI) will be included to the system for auditory display and image capture of the object recognition on Smartphone and computer.
In this paper I will discuss two different case studies. The first case study involves a 35-month old girl named Kim who struggles with meal time, potty training, and play time with others. I will discuss four assistive technology devices, that would work for Kim. These devices will assist Kim with balance, mobility and undressing. The second case study involves a school age child name Billy, who struggles with benchmark objectives. Billy is in the fourth grade and use Assistive technology devices reading and math. I will discuss different AT devices that can be used to assist Billy with reading and math.
Google Glass is a new form of technology that has heads turning everywhere. Glass is a wearable computing device with a frame-like construction that is comparable to everyday glasses. The frame consists of nose pads, a touchpad, and a small heads-up display that lies just above the right eye. The problem is not the device itself, but what the device is capable of. A camera lies beside the displa...
Mobility is a very challenging task for visually impaired people. It is defined as “the ability to travel safely, comfortably, gracefully, and independently” [1]. Visually impaired people must rely on other senses other than their sense of sight such as hearing and touch to guide them. Visual impairment and blindness afflict a significant portion of the world population. The World Health Organization (WHO) reported that the estimated number of visually impaired in the world are 285 million, 39 million are blind and about 90% of them are people who live in developing countries [2]. This tells us that majority of the blind people come from developing nations which means they cannot afford expensive devices to assist them. It is important to understand the needs and requirements of that community before attempting to create devices for them. Considering the continuing progress of medicine and science, it is surprising to note that blindness is expected to increase in the coming years. It is predicted that the number of blind people will double by 2030 [3]. This is partially because “the proportion of babies born to mothers at the extremes of the child-bearing years is increasing” and because “medical advances have made it possible for many premature infants, who in the past would have died, to
...omated detection of lines and points in the images and the use of smart markers in reference video recordings.
How do humans perceive objects? More specifically, how do we recognize them? Most people walk throughout their daily lives distinguishing the difference between a television, pencil, car, stop sign, etc. and do not know as to how their brain processes this information. There are many approaches to explain object recognition. These include the bottom-up and top-down approach, and the prototypes, template, and feature matching approaches. There are advantages and disadvantages to each approach in which I will be discussing.
Presley, I. and D’Andrea, F.M.2008.Assistive Technology for students who are blind or visually impaired: a guide to assessment .New York: American Foundation for the Blind .
Handheld displays are computing devices with a display that the user can hold in their hands. Video-see-through techniques overlay graphics onto the real environment and employ sensors, such as GPS units, Microelectromechanical systems (MEMS), and accelerometers for their six degrees of freedom tracking. Currently smart-phones and Tablet PCs are the most popular types of handheld device. Smart-phones and tablets are very portable and have many capabilities. They are becoming increasingly more powerful with advances in their hardware and software capabilities. This makes them a very
Over the past few years, many success stories have emerged as a result of assistive technology. ESight proves to help thousands of visually impaired individuals “see clearly” for the first time. From seeing a mother for the first time, to watching a favorite sports team or meeting the Easter bunny, eSight has changed the lives of thousands of people ranging from ages four to 101 years old. This includes Gary Foster, who lost all central vision in both of his eyes as a result of macular degeneration. He could not identify a peanut on a table, much less a person’s facial expression or words on a page, but with eSight, his vision was transformed. “When he put [the eSight eyewear] on, he realized that his vision drastically improved, so much so that he could see faces and read books.” So many people just like Gary Foster can benefit from this technology. Similarly, sighted volunteers and visually impaired users recognize the usefulness and success of the Be My
This approach includes two processes, training and classification (Chelali, Djeradi & Dejradi, 2009). In the training process, a subspace will be established by using the training samples, and then the training faces will be projected onto the same subspace. In the classification process, the input face image will be measured by Euclidean Distance to the subspace, and a decision will be made, either accept or reject.
The world exists where people no longer wear just clothes, but a person wears a watch or a shirt that is always functioning and require a minimum of the wearer’s attention. Laptops are no longer need because with wearable computer on him why needs of a lab top. MIThril’s vision of this project is to provide our gifted society with a better way to computing. Laptops are the thing of the past; wearable computer is the step to the future.
... CLD info sheets: assistive technology. Council for Learning Disabilities. Retrieved on April 24, 2005, from http://www.cldinternational.org/c/@CS_yKIo7l8ozY/Pages/assistive.html
Infrared increasingly present in mainstream applications, hold great potential for enabling people with a variety of disabilities to access growing list of information resources. Already used in remote control TV, VCR and CD players. Nowadays IR protocol used in applications like consumer electronics, computers, household appliances, medical devices, automotive technologies and commercial services.
A general statement of the face recognition problem can be formulated as follows: Given still or video images of a scene, identify or verify one or more persons in the scene using a stored database of faces. Due to this definition well-known algorithms such as PCA, ICA, LDA, EBGM, Bayesian Framework, HMM, SVM and Boosting are proposed by Turk et al. [1], Bartlett et al. [2], Zhao et al. [3], Wiskott et al. [4], Moghaddam et al. [5], Nefian et al. [6], Heisele et al. [7], and Lu et al. [8].These algorithms have acceptable success on the test image databases. Nevertheless, utilizing these algorithms in the commercial applications is subject to som...
Augmented Reality (AR) is an influential user interface which is consolidating in to the reality and can be in the Pc created data ideal model improving a user's recognition environment.
...m. These systems are simple and economic; however, the hand geometry can have changes and the devices to capture the images are not too small to be adapted in a laptop.