| dc.contributor.advisor | 蔡子傑 | zh_TW |
| dc.contributor.advisor | Tsai, Tzu Chieh | en_US |
| dc.contributor.author (Authors) | 蘇冠榮 | zh_TW |
| dc.contributor.author (Authors) | Su, Guan Rong | en_US |
| dc.creator (作者) | 蘇冠榮 | zh_TW |
| dc.creator (作者) | Su, Guan Rong | en_US |
| dc.date (日期) | 2016 | en_US |
| dc.date.accessioned | 2016-03-02 | - |
| dc.date.available | 2016-03-02 | - |
| dc.date.issued (上傳時間) | 2016-03-02 | - |
| dc.identifier (Other Identifiers) | G0102971022 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/81771 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊科學系碩士在職專班 | zh_TW |
| dc.description (描述) | 102971022 | zh_TW |
| dc.description.abstract (摘要) | 近年來人體姿態感測的技術與應用愈來愈熱門。許多電玩及電影大多是藉由攝影鏡頭偵測人體姿態，但效果容易受到外在因素的影響，如陽光、遮蔽物等，特別是用在舞台展演方面就不適合了。因此本篇論文希望設計穿戴式裝置來感測人體姿態，並結合新一代無線網路藍牙4.0做為數據傳輸方式，以進行即時互動展演。本論文研究開發以Arduino結合六軸姿態感測器，設計此穿戴式裝置雛型。而實際在展場上表演，此裝置必需具有一定的穩定性、可靠性且方便穿戴。本論文設計出的裝置與系統，已實際參與數場即時互動展演，並且供觀眾親自體驗，反應熱烈。未來期許能將此系統擴大應用於多人異地互動展演上、能有更大的擴充性、多樣的互動體驗。 | zh_TW |
| dc.description.abstract (摘要) | Recently, human body skeleton detection technology and its applications are becoming more popular. Many computer games and movies detect human body skeleton by cameras. However, the detection will be affected easily by sun light or obstacles. Especially, this is not suitable for the applications on stage performance. The goal of this thesis is to design wearable devices to detect body skeleton and uses BLE 4.0 for data transmission to interactively real time art perform. We put 6-axis motion detector on Arduino to develop the wearable device prototyping. These devices for performing in practice should be stable, reliable and convenient for wearing or taking off. The devices and system we developed have been used in several real time interactive performances and for audience experience. In the future, this system can be expanded to people performing in different locations and has better scalability and varieties of interactive experience. | en_US |
| dc.description.tableofcontents | 第一章 簡介 11.1 背景 11.2 動機 11.3 目的 3第二章 硬體評估 42.1 Arduino開發板 42.2 Raspberry Pi樹莓派開發板 62.3 低功耗藍牙BLE 4.0感測器 72.4 姿態感測器 92.5 電池 10第三章 系統架構與實作過程 123.1 評估六軸姿態感測器可行性 123.2 資料傳輸方式從有線傳輸改為無線傳輸 153.3 連線中斷問題 203.4 數據累計偏差問題 213.5 製作展演裝置 26第四章 公開展演活動 344.1政大八十八週年校慶展演 344.2 2015年台北數位藝術節 354.3 2015年頂尖大學計畫成果報告 384.4 2015年台北松山菸廠一號倉庫展演 39第五章 結論與未來工作 415.1 結論 415.2 未來工作 41參考資料 43 | zh_TW |
| dc.format.extent | 3784966 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0102971022 | en_US |
| dc.subject (關鍵詞) | 人體姿態感測 | zh_TW |
| dc.subject (關鍵詞) | 六軸感測 | zh_TW |
| dc.subject (關鍵詞) | 藍牙4.0 | zh_TW |
| dc.subject (關鍵詞) | Arduino | zh_TW |
| dc.subject (關鍵詞) | 即時互動展演 | zh_TW |
| dc.subject (關鍵詞) | human body skeleton detection | en_US |
| dc.subject (關鍵詞) | 6-axis motion detector | en_US |
| dc.subject (關鍵詞) | BLE 4.0 | en_US |
| dc.subject (關鍵詞) | Arduino | en_US |
| dc.subject (關鍵詞) | real time interactive performance | en_US |
| dc.title (題名) | 穿戴式互動展演創新應用與姿態感測技術研究 | zh_TW |
| dc.title (題名) | Interactive Performance Using Wearable Devices: Body Skeleton Detection Technology and Innovative Applications | en_US |
| dc.type (資料類型) | thesis | en_US |
| dc.relation.reference (參考文獻) | [1] 黃心健, http://www.storynest.com/1_news.php?lang=ch[2] Daniel Roetenberg, Henk Luinge, and Per Slycke, “Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors. XSENS Technologies,”version Apr 3, 2013.[3] Arduino uno, https://www.arduino.cc/en/Main/ArduinoBoardUno[4] Arduino mega, https://www.arduino.cc/en/Main/arduinoBoardMega[5] Arduino nano, https://www.arduino.cc/en/Main/ArduinoBoardNano[6] Arduino LilyPad, https://www.arduino.cc/en/Main/ArduinoBoardLilyPad[7] Atmel ATmega328P, http://www.atmel.com/images/atmel-8271-8-bit-avr-microcontroller-atmega48a-48pa-88a-88pa-168a-168pa-328-328p_datasheet_complete.pdf[8] Raspberry Pi, https://www.raspberrypi.org/[9] RedBearLab, http://redbearlab.com/[10] TI CC2540, http://www.ti.com/product/CC2540[11] MPU6050, http://www.invensense.com/products/motion-tracking/6-axis/mpu-6050/[12] 藍牙, https://zh.wikipedia.org/wiki/藍牙[13] JSON, https://zh.wikipedia.org/wiki/JSON[14] TP4056, https://dlnmh9ip6v2uc.cloudfront.net/datasheets/Prototyping/TP4056.pdf[15] 電功率公式, https://zh.wikipedia.org/wiki/%E9%9B%BB%E5%8A%9F%E7%8E%87[16] 東森新聞雲, http://www.ettoday.net/news/20150821/553221.htm | zh_TW |
