| 研究生: |
林秉厚 Lin, Bing-Hou |
|---|---|
| 論文名稱: |
基於壓力感測分佈之辦公椅舒適度評價 Evaluation of office chair comfort based on pressure sensing distribution |
| 指導教授: |
蕭世文
Hsiao, Shih-Wen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 英文 |
| 論文頁數: | 65 |
| 中文關鍵詞: | 舒適度 、灰關聯分析 、壓力分佈 、類神經網路 |
| 外文關鍵詞: | Comfort, Grey relational analysis, Pressure distribution, Neural network |
| 相關次數: | 點閱:99 下載:0 |
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第本研究以人因「舒適度」為探討方向,並以辦公座椅為研究對象。欲量化身體坐姿舒適度,則要了解舒適度所包含的面向,舒適度這一詞,時常綜合許多主觀及客觀要素在內,人的主觀心理本身即為一個黑箱,如欲透過問卷等方式得到舒適度的解答,則具有衝突的矛盾點,因人容易受當時的情境與生理,甚或其他不可考因素影響,反之客觀測量則可以提供不被人為因素干擾的數據和證據。
因此本實驗以坐部壓力以及背部壓力分佈數據的蒐集為前提,應用灰關聯評價模式,找出辦公椅樣本中關聯度最高的座椅款式,當成最適合的座椅選項。首先應用壓力分佈感測實驗來蒐集辦公人員坐於辦公座椅之壓力參數,而後應用灰關聯分析方法計算壓力參數,建立舒適度評價模式,此即一客觀舒適度評價方法,而後以類神經網路進行舒適度資料的學習,並作最適座椅的預測,藉由本研究提出的系統進行最適座椅的選擇,可省去量測坐壓分布的作業和灰關聯計算的繁雜步驟,即可以進行舒適度的評價和最適座椅的決策。
此評價模式的建立將有助於設計師及消費者在辦公座椅舒適度的考量上,做出最佳決策,進而達成縮短設計流程與滿足個體差異性需求之目標,甚可進一步於創造或設計新產品時提昇整體競爭力。
This research focuses on the human factor "comfort" as the research direction, and the office chair is the research object. To quantify the comfort of the body’s sitting posture, one must understand the aspects of comfort. The term comfort often integrates many subjective and objective elements. Human subjective psychology itself is a black box, which can be obtained through questionnaires. The answer to comfort has conflicting points because people are easily affected by the situation and physiology at the time, or even other untestable factors. On the contrary, objective measurement can provide data and evidence that are not disturbed by human factors.
Therefore, this experiment uses the collection of seat pressure and back pressure distribution data as the premise and applies the gray relational evaluation model to find the seat style with the highest relational in the office chair sample as the most suitable seat option. First, the pressure distribution sensing experiment is used to collect the pressure parameters of office workers sitting on office chairs, and then the gray relational analysis method is used to calculate the pressure parameters to establish a comfort evaluation model. This is an objective comfort evaluation method, and then a neural network method Carry out the study of comfort data and predict the most suitable seat. The system proposed in this research can choose the most suitable seat, which can save the task of measuring the sitting pressure distribution and the complicated steps of gray relational calculation. Evaluation of comfort and decision of the most suitable seat.
The establishment of this evaluation model will help designers and consumers to make the best decisions in consideration of the comfort of office chairs, and then achieve the goal of shortening the design process and meeting the needs of individual differences. It can even further create or Improve overall competitiveness when designing new products.
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