指導教授：陳彥仰臺灣大學：資訊工程學研究所朱唯辰Chu, Wei-ChenWei-ChenChu2014-11-262018-07-052014-11-262018-07-052014http://ntur.lib.ntu.edu.tw//handle/246246/261434PalmType提供了Google Glass這類智慧型眼鏡以及穿戴式顯示器一個全新的輸入方式，利用本體感覺，使用者可以在看著前方的同時在手掌上打字，顯示器上會呈現對應的視覺回饋，即使不記得按鍵的位置依然可以做輸入。借由配戴在手腕上的15顆紅外線測距感測器，可以偵測手指按壓在手掌上的位置以及點擊狀態，而且使用者不用額外握持多餘的裝置。我們設計了design sessions來了解使用者會如何根據本體感覺在手掌上排列QWERTY layout。為了評估PalmType的打字效率與了解使用者們的偏好，我們用Google Glass與Vicon動作捕捉系統進行了12人的user study，結果顯示PalmType with user-defined QWERTY這種layout比現有的觸控板輸入方式快了39%，此外，92%的使用者偏好使用PalmType作為智慧眼鏡上的文字輸入方式。We present PalmType, which uses palms as interactive keyboards for smart wearable displays, such as Google Glass. PalmType leverages users'' innate ability to pinpoint specific areas of their palms and fingers without visual attention (i.e. proprioception), and provides visual feedback via the wearable displays. With wrist-worn sensors and wearable displays, PalmType enables typing without requiring users to hold any devices and does not require visual attention to their hands. We conducted design sessions to see how users map QWERTY layout to their hands based on their proprioception. To evaluate typing performance and preference, we conducted a 12-person user study using Google Glass and Vicon motion tracking system, which showed that PalmType with user-defined QWERTY layout is 39% faster than current touchpad-based keyboards. In addition, PalmType is preferred by 92% of the participants as the input method for smart glasses. We demonstrate the feasibility of wearable PalmType by building a prototype that uses a wrist-worn array of 15 infrared sensors to detect users'' finger position and taps, and provides visual feedback via Google Glass.口試委員會審定書 ii 誌謝 iii 摘要 iv Abstract v 1 Introduction 1 2 RELATEDWORK 4 2.1 Palm-andArm-based Interfaces 4 2.2 Mid-airText Input 5 2.3 Virtual QWERTYKeyboards 5 2.4 Wearable Sensing Techniques 6 3 PALMTYPE DESIGN 8 3.1 Design Sessions 8 3.2 Results 9 4 EVALUATION 11 4.1 Implementation using Motion Tracking System 11 4.2 Design 12 4.3 Participants 14 4.4 Results 15 4.5 Not Corrected Error Rate and Corrected Error Rate 16 4.6 Subjective Measures 17 5 WEARABLE PALMTYPE PROTOTYPE 20 5.1 Sensor Board 20 5.2 Touch Event Detection Accuracy 21 6 DISCUSSION 23 6.1 Additional Keyboard Layouts 23 6.2 IR Proximity Sensor Sensitivity 23 7 LIMITATION AND FUTURE WORK 25 8 Conclusion 26 Bibliography 2719099312 bytesapplication/pdf論文公開時間：2014/07/15論文使用權限：同意有償授權(權利金給回饋學校)鍵盤智慧眼鏡手掌thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/261434/1/ntu-103-R01922002-1.pdf