Research Publications

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    Parade in the virtual dressing room
    (IEEE, 2018-08-08) Priyadharsun, S; Lakshigan, S; Baheerathan, S. S; Rajasooriyar, S; Rajapaksha, S, K; Harshanath, S. M. B
    Fashion has always been in the forefront especially with the youngsters. The interest in fashion can vary according to the country, region, culture, age, seasons, climates, places visited, attitude, personal interests etc. Some of them, however, have difficulties finding out about suitable dressing styles for them. Meeting this need is the purpose of this application. On the other hand, social networks are an easy way to interact with the teenagers. In this new age social network site, users create a profile and enter their body measurements to create a virtual model of the particular user. They can also upload their photos to create a complete virtual model which includes face as well. It was necessary to add business value to the application along with the usual entertainment factors. Adding business value to entertainment factors is the main attraction in Fashion Fit to suit a new age of social networking.
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    An Enhanced Virtual Fitting Room using Deep Neural Networks
    (2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Ileperuma, I.C.S.; Gunathilake, H.M.Y.V.; Dilshan, K.P.A.P.; Nishali, S.A.D.S.; Gamage, A.I.; Priyadarshana, Y.H.P.P.
    As the customer's experience in present fit-on rooms is considered as an essential part of the textile industry, these fit-on rooms play a huge role in the textile shops. It is quite an arduous method and generates problems like long queues, having to change clothes individually, privacy problems and wasting time. The proposed convolutional neural network-based Virtual Fit-on Room helps to prevent the above mentioned problems. This product contains a TV screen, two web cameras, and a PC. It captures the customer's body by using two web cameras and displays the customer's dressed body. The combination of CNN in Deep learning and AR processes the body detection and generates the customer's dressed object. The application uses the stereo vision concept to get body measurements. The system detects customer age, gender, face type, and skin tones which are used to recommend cloth styles to customers. Another requirement of this system is customizing styles according to the customer requirements and suggests different styles of clothes. The system achieved 99% accuracy when suggesting different styles using FFNN. Customers can choose clothes for another person who does not physically appear with the customer in the textile shop. The expected output delivers the most realistic dressed object to the customer which allows the efficient customizations for the textile products according to customer requirements. This product can highly influence the textile and fashion industry. Therefore, this product is suitable to compete with other applications in the industry.
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    Usability and user experience towards an experience economy
    (Faculty of Graduate Studies and Research, 2017-01-26) Weerawarna, N.T.; Abeysiri, L.
    Technological advances of the modern day have helped combine usability and user experience. Both factors contribute heavily towards a user's satisfaction which is essential in an `experience economy'. Proceeding with identified literature related to `usability' and `user experience', this research attempts to identify whether there is a significant impact on five different factors related to usability and user experience and benchmark them to suit user's overall satisfaction. The methodology for the research followed the identification of the theory involved in terms of five factors with Web application use in terms of user's satisfaction. A structured questionnaire based on the five factors was next drawn up and used on a sample of 88 Web application users. The collected data was analysed using a statistical tool. The results were further validated using a primary data collection with 20 Web application users. A structured interview process was used for the purpose. The use of a common factor `satisfaction', helped reveal that usability and user satisfaction only were affected as against the other three variables. Perhaps, a more detailed study may reveal the absorption of the other variables as related to user satisfaction.