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Design and Development of an Assistive System Based on Eye Tracking
(2022-02-01)
Paing, May Phu
;
Juhong, Aniwat
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Pintavirooj, Chuchart
This research concerns the design and development of an assistive system based on eye tracking, which can be used to improve the quality of life of disabled patients. With the use of their eye movement, whose function is not affected by their illness, patients are capable of communicating with and sending notifications to caretakers, controlling various appliances, including wheelchairs. The designed system is divided into two subsystems: Stationary and mobile assistive systems. Both systems provide a graphic user interface (GUI) that is used to link the eye tracker with the appliance control. There are six GUI pages for the stationary assistive system and seven for the mobile assistive system. GUI pages for the stationary assistive system include the home page, smart appliance page, eye-controlled television page, eye-controlled air conditional page, i-speak page and entertainment page. GUI pages for the mobile assistive system are similar to the GUI pages for the stationary assistive system, with the additional eye-controlled wheelchair page. To provide hand-free secure access, an authentication based on facial landmarks is developed. The operational test of the proposed assistive system provides successful and promising results.
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Webcam based eye gaze prediction system with automatic calibration for web browser
(2019-07-01)
Karngumpol, Niphat
;
Kreesuradej, Worapoj
Now a day, researches about Eye Gaze Prediction Systems with General Webcam was interested by many researchers and has been continuously developed because it is cheap and can be applied in many ways. Currently, a Browser based open source library for eye gaze prediction has been developed, which is easy to use and can be developed in a variety fields. However, this method is still limited because of low precision and inconveniences because users must perform calibration every time before use it. Therefore, we propose ways to develop and solve the above problems. This research has two objectives. The first is to improve the accuracy of an existing Eye Gaze Prediction System. The solution is using the Simple Moving Average to reduce the volatile of results and increase accuracy. From a results, this method gives a test scores higher than the existing method with statistically significant at 0.01, calculated as 14.96 percent increase from average score of the old method. The second objective is to propose a solution for making the system can recalibrate itself to improve accuracy in a long time without having to perform calibration by the users. We record the gaze data from system in the first 1 minute and then take the recorded data to calculate the boundary of the screen. And then, compare the calculated boundary with the real screen boundary to find error factors. This calculated error factor has been applied back to the next result to increase accuracy. From the test results, we found that over time the average test scores gradually increase. And at the last minute, the average score from this method is higher than the average score from traditional method up to 13.66 percent.
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The study of the local community products (OTOP) website characteristics toward buyer decision using eye tracking
(2018-05-08)
Cooharojananone, Nagul
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Akasarakul, Krittika
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Wongkhamdi, Thipsuda
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Pruetthiwongwanich, Phonkornkrit
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Atchariyachanvanich, Kanokwan
Thai government has launched a policy to encourage local community people to sell their products (OTOP) through e-commerce. One Tambon One Product or OTOP was derived from the concept of One Village One Product (OVOP) in Japan. Currently, people sell their products through the e-commerce web portal such as Facebook rather than having their own OTOP official websites. Therefore, this study aims to study and develop the prototype of the official website. The results show that social influence, perceived ease of use, reliability of website and reliability of product have a positive relationship to the intention to buy a product. Researchers further investigated using eye tracking device to analyze the participants' purchasing behavior. The results show that participants spent time looking at images on the center of the homepage, the product menu bar at the bottom of the center of the homepage, and the components from the product page, respectively. Moreover, participants did not spend time looking or even clicking the social network icon such as Facebook. The results of this study and implications are further discussed.
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Smart wheelchair based on eye tracking
(2017-02-21)
Wanluk, Nutthanan
;
Visitsattapongse, Sarinporn
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Juhong, Aniwat
;
Pintavirooj, C.
This project is a smart wheelchair based on eye tracking which is designed for people with locomotor disabilities. The add-on controlled module can be used with any electrical wheelchair. The smart wheel chair consists of four modules including imaging processing module, wheelchair-controlled module, SMS manager module and appliance-controlled module. The image processing module comprises of a webcam installed on the eyeglass and C++ customized image processing software. The captured image which is transmitted to raspberry Pi microcontroller will be processed using OpenCV to derive the 2D direction of eye ball. The coordinate of eyeball movement is then wirelessly transmitted to wheelchair-controlled module to control the movement of wheel chair. The wheelchair-controlled module is two dimensional rotating stages that installed to the joystick of the electrical wheelchair to replace the manual control of the wheelchair. The motion of eyeball is also used as the cursor control on the raspberry Pi screen to control the operation of some equipped appliance and send message to smart phone.

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