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Wei-Chang Hung

Bio: Wei-Chang Hung is an academic researcher from Feng Chia University. The author has contributed to research in topics: Physics & Microcontroller. The author has an hindex of 1, co-authored 3 publications receiving 9 citations.

Papers
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Journal ArticleDOI
TL;DR: The setup of interactive communication between arm strength training machine and the people will make exercise and rehabilitation therapy become more friendly and the feasibility and fidelity of the complete designed system are shown.
Abstract: The setup of interactive communication between arm strength training machine and the people will make exercise and rehabilitation therapy become more friendly. The employment of electromyographic not only can help physical therapy but also can achieve more effective rehabilitation. Both of the system hardware and software of the arm strength training machine with EMG system are well designed and described. The fundamental design of electromyographic measurement system based on a microcontroller is analyzed and discussed. The software programming is developed in MPLAB integrated development environment from the Microchip Technology Inc. and the friendly user interface is created as well. Finally, an arm strength training machine with electromyographic control system is realized and demonstrated. The experimental results show the feasibility and fidelity of the complete designed system.

10 citations

Journal ArticleDOI
TL;DR: In this paper , the authors derived the application of bionic technology and the integration of green energy innovation through systematic innovation theory, designing the operation of UAVs using this research method.
Abstract: This study aims to improve the two major problems faced by UAVs, short battery life and difficulty detecting hovering, respectively. For the problems mentioned above, this study derives the application of bionic technology and the integration of green energy innovation through systematic innovation theory, designing the operation of UAVs using this research method. The scope includes research on bionic technology, systematic innovation, innovation of unmanned aerial vehicles, and conduct fluid analysis for the output results, watching to confirm the hovering state, and analyzing the battery life to ensure the improvement of power supply, the output, and verification of this research can significantly improve the future development and application of UAVs.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: Assessment of the people's preference for ornamental features of bamboo plants showed that subjective ratings of stem color, leaf stripe, and stem stripe showed a significant positive correlation with the fixation count, and the random forest model showed fixation count was the important factor influencing the subjective ratings.

18 citations

Journal ArticleDOI
TL;DR: A biofeedback-based high fidelity smart robot for wrist rehabilitation is designed and offers high stiffness with a total absence of any friction and backlash.
Abstract: Generally, the rehabilitation process needs a physical interactions between patients and therapists. Based on the principles governing such human-human interactions (HHI), the design of rehabilitation robots received several attempts in order to abstract the HHI in human-robot interaction (HRI). To achieve this goal, the rehabilitation robot should be smart and provides a useful and comprehensive platform to track the patient status. In this paper, a biofeedback-based high fidelity smart robot for wrist rehabilitation is designed. This robot is intended for repetitive exercises without therapist intervention. Hold the two sets of wrist movement: flexion/extension and radial/ulnar derivation. Distinguished by its compact mechanism design, the developed wrist rehabilitation robot (HRR) offers high stiffness with a total absence of any friction and backlash. Based on EMG signal, the smart robot can understand the patient pain degree. Two features extractions are used to estimate the pain level. A fuzzy logic controller is implemented in the LabVIEW-based human-machine interface (HMI) to determine the desired angle and velocity in real time. Parameters and results of each exercise can be stored and operated later in analysis and evolution of patient progress.

13 citations

Journal ArticleDOI
TL;DR: In this article, a surface EMG acquisition system that supports high sampling and ultra-low power consumption measurement is proposed. But the performance of the proposed system is not as good as the commercial ones.

8 citations

Proceedings ArticleDOI
06 Jul 2016
TL;DR: Experiments with volunteers proved that using even simple construction of sensors it is possible to reliable measure biomedical signals with the quality enough for screening purposes as for the needs of simple interaction between an user and smart glasses.
Abstract: In this preliminary study we analyzed the possibility of the reliable measurement of biomedical signals with some potential hardware extensions of smart glasses. Using specially designed experimental prototypes four category of biomedical signals were measured: electrocardiograms, electromyograms, electroencephalograms and respiration waveforms. Experiments with volunteers proved that using even simple construction of sensors it is possible to reliable measure biomedical signals with the quality enough for screening purposes as for the needs of simple interaction between an user and smart glasses.

7 citations

Journal ArticleDOI
TL;DR: The aim of this paper is to present the design and implementation of an electric foot rehabilitation machine that uses an advanced RISC (reduced instruction set computer) machine (ARM) microcontroller based brushless dc (BLDC) motor drive.

6 citations