Browsing by Author "Weerasinghe, C"

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Open Access
Framework to create opportunities to maximize the contribution of differently abled employees in the Sri Lankan garment industry
(Springer Science and Business Media, 2025-04) Gurudasa, P; Lokeshwara, A; Weerarathna, R; Thelijjagoda, S; Weerasinghe, C; Fonseka, S; Dananjaya, S
The primary focus of this study was on Differently Abled Employees’ (DAEs) work performance within Sri Lanka’s garment industry. Prior research revealed inadequate awareness among organizations regarding the provision of employment opportunities for DAEs. Notably, DAEs constitute a substantial portion of the economically inactive working-age population in Sri Lanka. In this setting, the study aimed to identify the crucial factors influencing the contribution of DAEs in the Sri Lankan garment industry. In this setting, the study sought to measure their impact and develop a framework that supports both DAEs and the garment industry, fostering a mutually beneficial work environment. Utilizing a mixed approach, the study encompassed a sample population of 270 DAEs. Data collection involved semi-structured interviews and a Likert scale questionnaire. Convenience sampling was deployed to interview 14 DAEs, while a sample of 159 DAEs was selected through simple random sampling for the distribution of the questionnaire. Thematic analysis and multiple linear regression analysis were employed to analyze qualitative and quantitative data. The results underscored the significance of the examined factors affecting DAEs’ contributions. Based on regression analysis results, the researchers developed a framework, which underwent further refinement through reviews and discussions. The findings proposed supportive strategies to achieve the overarching objective of the study to maximize DAEs’ contributions in the workplace.
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Intelligent Wheelchair with Emotion Analysis and Voice Recognition
(IEEE, 2022-12-26) Perera, S; Gamage, S; Weerasinghe, C; Jayawardena, C; Pathinayake, K; Rajapaksha, S
Intelligent wheelchairs are becoming more and more prevalent in contemporary life, and the peaceful interaction of humans with wheelchairs is one of the most popular research topics. The development of a voice recognition and emotion recognition based intelligent wheelchair framework is being addressed here for truly impaired/disabled people who are unable to operate the wheelchair by hand. The patient can operate the wheelchair using voice commands, and the wheelchair’s Emotion Analysis module recognizes the patient’s face and records the patient’s emotions before sending the information to a cell phone application. A portion of the intelligent wheelchair is made to gather crucial information given by other units and send out emergency calls or notifications to the caregivers. Face recognition technology uses image processing to identify facial expressions by detecting the patient’s face and facial expressions. This helps the other components collect and send data via Internet of Things technologies. Speech – to –Text and Text – to-Speech Methodology is used in the voice recognition module and it captures the voice command data set and extracts the features of the commands.The model is already built and trained to recognize the commands and to send action request to the relevant unit.The Responsive AI auto starts the timer when the patient moves away from the wheelchair, recognizes time and responses back. This unit auto also sends the alert and calls to the guardian when the user has no response.
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TrendiTex: An Intelligent Fashion Designer
(IEEE, 2019-12-05) Wickramarathne, P; De Silva, M; Weerasinghe, C; Nanayakkara, H; Abeygunawardhana, P. K. W; Silva, S
In a highly changing technical era, Intelligent Fashion Designing systems play a key role to bridge the gap between fashion designers and the customers. Most of the people specially females, are fond of fashion. Currently, fashion has become a way of defining a person's preferences and personality. Analyzing through a large number of fashion trends and selecting a one among them will be a highly time-consuming task. Even though most of the people are keen on fashion, with their busy schedules, spending time on selecting a cloth for an occasion among numerous numbers of designs available is a hard task. Therefore, it would be exhausting to select a proper design for an occasion for them. Prevailing the difficulty in finding the clothes up to the user's expectation, we propose a user-friendly fashion designing mobile application and a web application called "TrendiTex". Extracting user preference details, user's body shape predicting and recommending trending fashion designs according to their shape, generating the unique 2D new fashionable design for a specific event and the augmented fit-on facility are implemented in TrendiTex. This system represents an efficient approach to design new unique products according to user's preferences and gives augmented fit-on facility.