| DC 欄位 |
值 |
語言 |
| DC.contributor | 生物醫學工程研究所 | zh_TW |
| DC.creator | 陳柏智 | zh_TW |
| DC.creator | PO-Chih Chen | en_US |
| dc.date.accessioned | 2010-7-23T07:39:07Z | |
| dc.date.available | 2010-7-23T07:39:07Z | |
| dc.date.issued | 2010 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=973211006 | |
| dc.contributor.department | 生物醫學工程研究所 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 本論文設計一個生理訊號放大電路，其電路可量測多種生理訊號。藉由一個3通道之人機介面系統和判斷規則演算法，分別可以量測眼動水平訊號、垂直訊號與腦波訊號(α波)，藉此偵測眼球上、下、左、右移動、自主性眨眼，或大腦是否產生α波。本論文將此3通道之人機介面系統實際應用於多方面之情境，首先，設計一個人機介面輔助系統來模擬滑鼠的操作，讓幫助身障人士可以透過眼球轉動方向與眨眼的動作來操作電腦。接著，也嘗試將此人機介面應用於睡眠的快速動眼期(Rapid Eye Movement, REM)分析和直升機之遙控操作。快速動眼期的分析是透過傅利葉轉換(Fast Fourier Transform, FFT)、轉折點(Turn counts)、越零率 (Zero-crossing rate, ZCR)演算法來分析睡眠時快速動眼期出現的時間。遙控直升機系統則是透過偵測眼球的轉動來控制直升機行進方向，而α波則是用來操控直升機的起飛與降落。最後透過實驗來驗證此系統之有效性，在人機介面的實驗方面，本論文偵測使用者6種動作上、下、左、右、自主性眨眼、與α波，其辨識率約八成五。 睡眠分析透過三種演算法判斷可正確標示出快速動眼期位置。最後遙控直升機系統的操作，透過眼球方向與α波的訊號，可控制直升機遙控器來操作飛機。
| zh_TW |
| dc.description.abstract | This thesis presents a physiological signal processing circuit which can be used to measure many kinds of physiological signals. Based on this circuit, a 3-channel human-computer interface (HCI) system incorporated with a decision rule algorithm is implemented to measure vertical and horizontal eye movements, and alpha waves of brain signals. The 3-channel human-computer interface (HCI) system can be used in three different application domains. First of all, the system is utilized to be a computer interface for the disabled persons. The user can use his or her eye movements to control the mouse and then operate a communication aid for communications, typing, web surfing, and controlling home appliances. Secondly, the system incorporated with an algorithm is utilized to be a tool for recording and detecting the Rapid Eye Movement (REM) events during a sleep period. REM events are detected via the features extracted from the Fast Fourier Transform (FFT), turn counts, and zero-crossing rate (ZCR). The system is also used to control a toy helicopter. The moving directions are controlled by the eye movements and the start/stop is controlled by the alpha waves. Several experiments were designed to evaluate the system. The recognition rate for classifying the eye movements was about 85% ratio correct. Experimental results also shows the system can correctly detect the REM events and control a toy helicopter.
| en_US |
| DC.subject | 溝通輔具 | zh_TW |
| DC.subject | 人機介面 | zh_TW |
| DC.subject | 快速動眼期 | zh_TW |
| DC.subject | 生理訊號 | zh_TW |
| DC.subject | Human Computer Interface | en_US |
| DC.subject | Communication Aid. | en_US |
| DC.subject | Physiological Signal | en_US |
| DC.subject | Rapid Eye Movement | en_US |
| DC.title | 生理訊號電路設計及其人機介面之應用 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | The Design of a Physiological Signal Processing Circuit and its Applications in Human-Computer Interfaces | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |