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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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🏛️國立陽明交通大學機構典藏

Author: search.filters.author.King, Jung-TaiSubject: search.filters.subject.BCI

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Now showing 1 - 3 of 3
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    A Wireless Steady State Visually Evoked Potential-based BCI Eating Assistive System
    (2017-01-01)
    Chiu, Ching-Yu
    ;
    Singh, Avinash K.
    ;
    Wang, Yu-Kai
    ;
    King, Jung-Tai
    ;
    Lin, Chin-Teng
    Brain-Computer interface (BCI) which aims at enabling users to perform tasks through their brain waves has been a feasible and worth developing solution for growing demand of healthcare. Current proposed BCI systems are often with lower applicability and do not provide much help for reducing burdens of users because of the time-consuming preparation required by adopted wet sensors and the shortage of provided interactive functions. Here, by integrating a state visually evoked potential (SSVEP)-based BCI system and a robotic eating assistive system, we propose a non-invasive wireless steady state visually evoked potential (SSVEP)-based BCI eating assistive system that enables users with physical disabilities to have meals independently. The analysis compared different methods of classification and indicated the best method. The applicability of the integrated eating assistive system was tested by an Amyotrophic Lateral Sclerosis (ALS) patient, and a questionnaire reply and some suggestion are provided. Fifteen healthy subjects engaged the experiment, and an average accuracy of 91.35%, and information transfer rate (ITR) of 20.69 bit per min are achieved. For online performance evaluation, the ALS patient gave basic affirmation and provided suggestions for further improvement. In summary, we proposed a usable SSVEP-based BCI system enabling users to have meals independently. With additional adjustment of movement design of the robotic arm and classification algorithm, the system may offer users with physical disabilities a new way to take care of themselves.
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    An EEG-based Approach for Evaluating Graphic Icons from the Perspective of Semantic Distance
    (2016)
    Cherng, Fu-Yin
    ;
    Lin, Wen-Chieh
    ;
    King, Jung-Tai
    ;
    Lee, Yi-Chen
    ;
    資訊工程學系
    Graphic icons play an increasingly important role in interface design due to the proliferation of digital devices in recent years. Their ability to express information in a universal fashion allows us to immediately interact with new applications, systems, and devices. Icons can, however, cause user confusion and frustration if designed poorly. Several studies have evaluated icons using behavioral-performance metrics such as reaction time as well as self-report methods. However, determining the usability of icons based on behavioral measures alone is not straightforward, because users\' interpretations of the meaning of icons involve various cognitive processes and perceptual mechanisms. Moreover, these perceptual mechanisms are affected not only by the icons themselves, but by usage scenarios. Thus, we need a means of sensitively and continuously measuring users\' different cognitive processes when they are interacting with icons. In this study, we propose an EEG-based approach to icon evaluation, in which users\' EEG signals are measured in multiple usage scenarios. Based on a combination of EEG and behavioral results, we provide a novel interpretation of the participants\' perception during these tasks, and identify some important implications for icon design.
  • Thumbnail Image
    Item type:Item,
    An EEG-based Approach for Evaluating Graphic Icons from the Perspective of Semantic Distance
    (2015)
    Cherng, Fu-Yin
    ;
    Lin, Wen-Chieh
    ;
    King, Jung-Tai
    ;
    Lee, Yi-Chen
    ;
    資訊工程學系
    Graphic icons play an increasingly important role in interface design due to the proliferation of digital devices in recent years. Their ability to express information in a universal fashion allows us to immediately interact with new applications, systems, and devices. Icons can, however, cause user confusion and frustration if designed poorly. Several studies have evaluated icons using behavioral-performance metrics such as reaction time as well as self-report methods. However, determining the usability of icons based on behavioral measures alone is not straightforward, because users\' interpretations of the meaning of icons involve various cognitive processes and perceptual mechanisms. Moreover, these perceptual mechanisms are affected not only by the icons themselves, but by usage scenarios. Thus, we need a means of sensitively and continuously measuring users\' different cognitive processes when they are interacting with icons. In this study, we propose an EEG-based approach to icon evaluation, in which users\' EEG signals are measured in multiple usage scenarios. Based on a combination of EEG and behavioral results, we provide a novel interpretation of the participants\' perception during these tasks, and identify some important implications for icon design.