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研究項目與成果

Research topics and achievements

​研究成果

​如何記錄腦波?

Here we will show you how to use an electroencephalograph easily. You'll learn how to properly wear the instrument, set up the device, and interpret brainwave data. Whether you are a novice or an experienced user, this video will provide clear steps and practical tips to fully master the use of an electroencephalograph.

​仿生機械手臂

Amputation is usually due to congenital defects, disease or injury. According to the Health Insurance Bureau of Taiwan, eight thousand amputation pieces have been done till 2003. Thus, a precise prosthetic is necessary. This research used the human body EEG to control bionic hand based on non-invasive electrodes for measuring brain motor area EEG, signal amplification and filter (hardware) and LabVIEW (software) for analyzing expectation movement state. Our results show that beta ERS characteristic wave could effectively interpret the action state and successfully self-control bionic hand in grasping movements.

VR睫狀肌訓練

With the rise in technology use, prolonged screen exposure can weaken ciliary muscles and cause extraocular muscle fatigue, leading to vision deterioration. This study developed a VR-based visual training system featuring immersive and interactive games to address these issues.

​3D列印外骨骼輔具

This study developed a customized wearable hand rehabilitation device with a LabVIEW-based user interface to assist physiotherapists and patients. It provides two-stage rehabilitation for hand disabilities, video tutorials, and motion recording for review.

大專生歷年研究題目

屆數
姓名
​題目

107

廖友禎

智慧語音辨識情緒香氛機器人

🎖️ 榮獲110國科會大專生計畫

107

陳彥璋

利用智慧辨識系統調節體重

107

李家樂

基於深度學習之焦慮腦波辨識與舒緩系統

106

陳吟貞

利用機器學習建置基於腦電訊號之憂鬱症辨識系統

🎖️ 榮獲109國科會大專生計畫

106

呂姿穎

運用深度學習建置唇語辨識系統

105

吳子林

外骨骼雙向互動系統於腦中風手掌復健之研發

🎖️ 榮獲108國科會大專生計畫

105

林品葳

利用虛擬實境進行睫狀肌訓練以改善視力

碩士生歷年研究題目

屆數
姓名
​題目

111

廖健崴

基於電磁驅動模組化穿戴裝置—應用於中風復健與手部顫抖抑制

111

徐欣汝

融合遷移學習模型與生理訊號回饋之多媒體系統以應用於焦慮緩解實驗

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