| DC 欄位 |
值 |
語言 |
| DC.contributor | 光機電工程研究所 | zh_TW |
| DC.creator | 王肇儀 | zh_TW |
| DC.creator | Jhao-yi Wang | en_US |
| dc.date.accessioned | 2008-6-28T07:39:07Z | |
| dc.date.available | 2008-6-28T07:39:07Z | |
| dc.date.issued | 2008 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=953207005 | |
| dc.contributor.department | 光機電工程研究所 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 人與人之間的溝通，有超過60％是不用言語的，而是依靠表情和肢體動作，而機器人何嘗不能做到呢？這即是本研究想要追求的目標。本論文以感性工學為基礎，其中探討到人類心理層面的認知和人體生理學，透過生理學瞭解表情肌肉和神經之間的互動進而控制表情。使用硬體量測表情肌的肌電訊號，經過濾波、正規化處理，得到可用的參數，再以類神經網路運算、歸類，進而探討出表徵，來完成人體臉部五官的表情模擬。期盼不久的未來，機器人不再是面無表情的鋼鐵，而是擁有豐富、生動的表情，與人類親密的互動。 | zh_TW |
| dc.description.abstract | If one considers that more than 60% of human communication is conducted
non-verbally ( by using facial expressions and gestures ) , an important research
topic is how interfaces for this non-verbal communication can be developed.
In the study , the purpose of constructing a kansei engineering structure is
to understand the relationship among psychological cognition , physiological
structure , and facial expression control.
In the process , myoelectric signal that measured byActive EMG sensor
becomes important parameter after filtering and normalization , and the
parameter could be used to sort out the characteristics then complete the
simulation of facial expression via neural network.
In the future , the robot will not just metals without facial expressions.We
expect the robot capable of interacting with human more closely. | en_US |
| DC.subject | 表情肌 | zh_TW |
| DC.subject | 肌電訊號 | zh_TW |
| DC.subject | 類神經網路 | zh_TW |
| DC.subject | 感性工學 | zh_TW |
| DC.subject | 認知心理學 | zh_TW |
| DC.subject | 人體生理學 | zh_TW |
| DC.subject | Neural network | en_US |
| DC.subject | Physiological Muscle of facial expression | en_US |
| DC.subject | Psychological cognition | en_US |
| DC.subject | Kansei engineering | en_US |
| DC.title | 感性工學為基礎之人工表情分析 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Artificial expression analysis with Kansei engineering | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |