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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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Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving
(2016-02-17)
Lin, Chin-Teng
;
Chuang, Chun-Hsiang
;
Kerick, Scott
;
Mullen, Tim
;
Jung, Tzyy-Ping
Fluctuations in attention behind the wheel poses a significant risk for driver safety. During transient periods of inattention, drivers may shift their attention towards internally-directed thoughts or feelings at the expense of staying focused on the road. This study examined whether increasing task difficulty by manipulating involved sensory modalities as the driver detected the lane-departure in a simulated driving task would promote a shift of brain activity between different modes of processing, reflected by brain network dynamics on electroencephalographic sources. Results showed that depriving the driver of salient sensory information imposes a relatively more perceptually-demanding task, leading to a stronger activation in the task-positive network. When the vehicle motion feedback is available, the drivers may rely on vehicle motion to perceive the perturbations, which frees attentional capacity and tends to activate the default mode network. Such brain network dynamics could have major implications for understanding fluctuations in driver attention and designing advance driver assistance systems.
Using a Novel LDA-Ensemble Framework to Classification of Motor Imagery Tasks for Brain-Computer Interface Applications
(2015-01-01)
Chiu, Ching-Yu
;
Chen, Chih-Yu
;
Lin, Yang-Yin
;
Chen, Shi-An
;
Lin, Chin-Teng
In this paper, we introduce a novel linear discriminate analysis (LDA) ensemble classifier utilizing the Mindo as a brain-computer interface (BCI) device to deal with the problem of motor imagery classification. With regard to the composition of the proposed system, we combine filter bank, sub-band common spatial pattern (SBCSP), LDA together for extracting features of EEG data and classifying the motor imagery with left or right states. In addition, we also employ a gradient descent (GD) algorithm to find the best weight associated with probability fusion function. This novel architecture not only boosts the accuracy of classification but maintains the computational efficiency of the system. Therefore, the proposed LDA-ensemble framework is able to be satisfied with each subject as demonstrated in Section III.
Stimulating the imaginative capacities of agricultural extension students
(2016-01-01)
Liang, Chaoyun
;
Chang, Wen-Shan
;
Yao, Shu-Nung
;
King, Jung-Tai
;
Chen, Shi-An
Purpose: To address the dynamic challenges associated with developing a globally sustainable society, numerous scholars have stressed the need to cultivate the imagination of agricultural students. This study aimed to explore how pictorial representations stimulate the imaginative capacities of agricultural extension students. Design/methodology/approach: We adopted a focus group method that enabled in-depth discussions amongst selected participants. Three focus group discussions were held with 15 student participants in Taiwan. Regarding the pictorial representations, a series of works from three great artists were selected, namely Jean-Francois Millet, Pablo Picasso and Joan Miro. The works were chosen. Findings: The results indicated that different indicators of imaginative capacities were stimulated by different types or combinations of pictorial representations. For example, realistic visual stimuli were beneficial for cultivating student intuition of problem solving. The atmosphere and colour of visual stimuli affected student sensibilities. The abstract stimuli and remote analogues were beneficial in generating original ideas and breaking design fixations. These stimulations occurred largely according to encountering problems and project needs. Practical implications: These findings can assist agricultural educators in developing imaginative curricula and instructional strategies and might increase students' creative performance. Originality/value: This research provides intriguing insights into the complexities of human imagination. First, the present study developed a novel approach to assess how pictorial representations stimulate the imaginative-capacity indicators of agricultural extension students. Our results indicated that various indicators were stimulated by various types or combinations of pictorial representations, and how and why these stimulations occurred largely depended on design problems and project needs.
Visual attention and association: An electroencephalography study in expert designers
(2017-01)
Liang, Chaoyun
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Lin, Chin-Teng
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Yao, Shu-Nung
;
Chang, Wen-Shan
;
Liu, Yu-Cheng
Extant research on the visual attention and association of designers is limited, and scientific evidence dfferentiating among the effects of diverse visual stimuli on design thinking is insufficient. The current study invited 12 healthy expert designers and analysed their experiences of visual attention and association in addition to exploring the differences caused by three types of pictorial representation. The results of this electroencephalography (EEG) experiment indicated that the frontoparietal region was particularly activated when the designers engaged in visual attention tasks, whereas the brainwaves were particularly activated in the distributed prefrontal, frontocentral, and parietooccipital regions during the visual association tasks. In addition, there were no significant differences in the brainwave energy resulting from the three types of pictorial representation applied in this study. The research outcomes linking design studies to cognitive neuroscience establish a concrete foundation for developing future applied research and diverse educational practices. (C) 2016 Elsevier Ltd. All rights reserved.
An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements
(2016-07)
Yu, Yi-Hsin
;
Lu, Shao-Wei
;
Chuang, Chun-Hsiang
;
King, Jung-Tai
;
Chang, Che-Lun
Potable electroencephalography (EEG) devices have become critical for important research. They have various applications, such as in brain-computer interfaces (BCI). Numerous recent investigations have focused on the development of dry sensors, but few concern the simultaneous attachment of high-density dry sensors to different regions of the scalp to receive qualified EEG signals from hairy sites. An inflatable and wearable wireless 32-channel EEG device was designed, prototyped, and experimentally validated for making EEG signal measurements; it incorporates spring-loaded dry sensors and a novel gasbag design to solve the problem of interference by hair. The cap is ventilated and incorporates a circuit board and battery with a high-tolerance wireless (Bluetooth) protocol and low power consumption characteristics. The proposed system provides a 500/250 Hz sampling rate, and 24 bit EEG data to meet the BCI system data requirement. Experimental results prove that the proposed EEG system is effective in measuring audio event-related potential, measuring visual event-related potential, and rapid serial visual presentation. Results of this work demonstrate that the proposed EEG cap system performs well in making EEG measurements and is feasible for practical applications.
Visual attention and association: An electroencephalography study in expert designers
(2017-01)
Liang, Chaoyun
;
Lin, Chin-Teng
;
Yao, Shu-Nung
;
Chang, Wen-Shan
;
Liu, Yu-Cheng
Extant research on the visual attention and association of designers is limited, and scientific evidence dfferentiating among the effects of diverse visual stimuli on design thinking is insufficient. The current study invited 12 healthy expert designers and analysed their experiences of visual attention and association in addition to exploring the differences caused by three types of pictorial representation. The results of this electroencephalography (EEG) experiment indicated that the frontoparietal region was particularly activated when the designers engaged in visual attention tasks, whereas the brainwaves were particularly activated in the distributed prefrontal, frontocentral, and parietooccipital regions during the visual association tasks. In addition, there were no significant differences in the brainwave energy resulting from the three types of pictorial representation applied in this study. The research outcomes linking design studies to cognitive neuroscience establish a concrete foundation for developing future applied research and diverse educational practices. (C) 2016 Elsevier Ltd. All rights reserved.
Imagining Garage Start-Ups: Interactive Effects of Imaginative Capacities on Entrepreneurial Intention
(2016-07-09)
Chang, Chi-Cheng
;
Yao, Shu-Nung
;
Chen, Shi-An
;
King, Jung-Tai
;
Liang, Chaoyun
This article describes a structural examination of the interaction among different imaginative capacities and the entrepreneurial intention of electrical and computer engineering students. Two studies were combined to confirm the factor structure of survey items and test the hypothesised interaction model. The results indicated that imaginative capacity has 3 dimensions: conceiving, initiating, and transforming, whereas entrepreneurial intention comprises 2 factors: conviction and preparation. In addition, the results indicated that initiating imagination strongly affected entrepreneurial conviction and preparation; conceiving imagination positively predicted entrepreneurial conviction, whereas transforming imagination negatively predicted entrepreneurial preparation. The results also indicated that students possessing high, as well as those possessing low, conceiving and transforming imaginations demonstrated a high level of entrepreneurial preparation. In addition, an increase in transforming imagination increases the preparation of students possessing low initiating imagination and reduces the preparation of students possessing high initiating imagination. For developing a novel approach to conduct research on entrepreneurial intention and for discussing the practical implications of the findings, this study explicates alternative methods of cultivating students, promoting their interests, and enabling entrepreneurial behaviour in them by stimulating their imaginative capacities.
A Novel Classification Method for Motor Imagery Based on Brain-Computer Interface
(2014)
Chen, Chih-Yu
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Wu, Chun-Wei
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Lin, Chin-Teng
;
Chen, Shi-An
;
電機學院
Brain computer interface (BCI) is known as a good way to communicate between brain and computer or other device. There are many kinds of physiological signal can operate BCI systems. Motor imagery (MI) has been demonstrated to be a good way to operate a BCI system. In some recent studies about MI based BCI systems, low accuracy rate and time consuming are common problems. In this thesis, a novel motor imagery algorithm is proposed to improve the accuracy rate and computational efficiency at the same time. The architecture of many BCI system is quite complex and they involve time consuming processing. The electroencephalography (EEG) signal is the most commonly used inputs for BCI applications but EEG is often contaminated with noise. To overcome such drawbacks, in this paper we use the common spatial pattern (CSP) for feature extraction from EEG and the linear discriminant analysis (LDA) for motor imagery classification. In this study, CSP and LDA have been used to reduce the artifact and classify MI-based EEG signal. We have used two-level cross validation scheme to determine the subject specific best time window and number of CSP features. We have compared the performance of our system with BCI competition results. This novel algorithm with high accuracy rate and efficiency can be applied to real time BCI system in real-life applications.
Gaming Controlling via Brain-Computer Interface Using Multiple Physiological Signals
(2014)
Chen, Shi-An
;
Chen, Chih-Hao
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Lin, Theng-Wei
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Ko, Li-Wei
;
Lin, Chin-Teng
using physiological signals to control braincomputer interface (BCI) becomes more popular. Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control BCI systems based on eye movement detection and signal processing methods. Also, the use of electroencephalographic (EEG) signals has become the most common approach for a BCI because of their usability and strong reliability. In this paper, we described a signal processing method, which uses a wireless EEG-based BCI system designed to be worn near forehead that can detect both EEG and EOG signals, for detecting eye movements to have 9 direction controls (via EOG) and one action of execution (via EEG). This system included a wireless EEG signal acquisition device, a mechanism that can be worn stably, and an application program (APP) with signal processing algorithms. This algorithm and its classification procedure provided an effective method for identifying eye movements and attention. Finally, we designed a baseball game to test the BCI system. The results demonstrated that player can control the game well with high accuracy.
A Wireless Electrooculography-based Human-Computer Interface for Baseball Game
(2013-01-01)
Lin, Chin-Teng
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Wu, Shang-Lin
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Jiang, Wei-Ling
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Liang, Jyun-Wei
;
Chen, Shi-An
Gaming control becomes popular based on the development of human-computer interface (HCI). Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control HCI systems based on eye movement detection and signal processing methods. However, there are currently no effective multi-directional classification methods for monitoring eye movements. In addition, many EOG-based HCI systems have been developed with traditional wet electrodes. Those traditional electrodes require conductive gel and skin preparation on some users. Here, we describe a signal processing method used in a wireless EOG-based HCI system with dry electrodes for detecting eye movements to have 9 options. This system includes wireless EOG signal acquisition device, dry electrodes and an EOG signal processing algorithm. The EOG signal processing algorithm is based on 9 options of eye movement and blink signals. The results demonstrated an application of baseball game control using the proposed wireless HCI system. This system provides an effective and convenient method for eye movement detection.

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