Physiological signals Analysis 生理訊號分析

We interest in studying issues of physiological signals in humans.

Concern on physiological signals-based research is able to efficiently analyze the internal and subjective mental states, in our works, we will explore various signals such as EEG, EMG, ECG, and limb joints data, etc. We focus on the development of various recognition models (such as affective recognition) embedding in the robotic system.

我們致力於探索人體生理訊號的相關研究。

深入解析基於生理訊號相關研究可有效知悉內在及外顯之心理狀態，我們將會研究各種訊號如腦波、肌電、心電及肢體關節訊息等。我們專注於開發各種嵌入在機器人系統中的識別模型（例如情感識別）。

Brain-Computer Interface 腦機介面

BCI/ HRI has been utilized to explore new potential applications for the improvement of people's life. We contribute to studying issues of mental and physical in humans while wearing robots.

Designing novel robots to improve mobility is our primary goal that helps people such as the elderly or stroke patients; especially for exercise and rehabilitation (walking, running, and upper limbs motion, etc). Concern on physiological signals-based research is able to efficiently analyze the internal and subjective mental states, in our works, we will explore various signals such as EEG, EMG, ECG, and limb joints data, etc. We also focus on "how to integrate physical and mental" and applying control methods further building a hybrid system for research on HRI.

我們致力於探索輔具使用者之心理及物理層面的人機介面相關研究。

針對老年人或中風患者，我們主要目標在設計新型輔助裝置(如外骨骼機器人)讓使用者於復健及鍛鍊時改善活動能力 (如步行、跑及上肢活動等動作)。深入解析基於生理訊號相關研究可有效知悉內在及外顯之心理狀態，我們將會研究各種訊號如腦波、肌電、心電及肢體關節訊息等。再者深入研究如何連接使用者之心理-物理狀態，同時研析控制方法並建立一新混合輔助系統於人機介面之應用。

Assistive Robotics 輔助機器人

Passive propulsion exoskeleton 無電力推進外骨骼

Cognitive load / Mental Fatigue 認知負荷、心理疲勞分析

Physical Fatigue diagonsis 肌肉疲勞診斷

Selective Laser Melting 選擇性雷射燒結（金屬列印）

Selective laser melting shows a positive prospect as an additive manufacturing technique for fabrication of 3D parts with complicated structures. We focus on using FEM to simulate the thermal behavior for predicting the time evolution of temperature ﬁeld and deformation field.

選擇性雷射融熔為一種用於製造複雜結構的金屬積層製造技術，非常具有前景性。我們致力於使用有限元素法來模擬熱行為，以預測溫度場和變形場於時間歷程下的變化狀態。

Thermal diagnosis of Machine tool 工具機熱診斷

Thermal error is recognized as the most significant concern inﬂuencing the accuracy of machine tools, accounting for 40-70% of all errors. We focus on using the ﬁnite element method to build a thermo- mechanical model and further simulate thermal characteristics for predicting the transient temperature ﬁeld and thermal deformation for high precision machine tools

熱誤差被認為是影響工具機精度最顯著誤差之一，約佔所有誤差的40-70%。我們利用有限元素法構建熱機械模型並進一步模擬分析其熱特徵行為，以預測高精密工具機之瞬態溫度場和熱變形。