PalmType: Using Palms as Keyboards for Smart Glasses
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 102 === 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. pr...
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ndltd-TW-102NTU053921092016-03-09T04:24:21Z http://ndltd.ncl.edu.tw/handle/48899687781795709894 PalmType: Using Palms as Keyboards for Smart Glasses 為智慧眼鏡設計之手掌鍵盤研究 Wei-Chen Chu 朱唯辰 碩士 國立臺灣大學 資訊工程學研究所 102 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. 陳彥仰 2014 學位論文 ; thesis 30 en_US |
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碩士 === 國立臺灣大學 === 資訊工程學研究所 === 102 === 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.
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陳彥仰 |
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陳彥仰 Wei-Chen Chu 朱唯辰 |
author |
Wei-Chen Chu 朱唯辰 |
spellingShingle |
Wei-Chen Chu 朱唯辰 PalmType: Using Palms as Keyboards for Smart Glasses |
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Wei-Chen Chu |
title |
PalmType: Using Palms as Keyboards for Smart Glasses |
title_short |
PalmType: Using Palms as Keyboards for Smart Glasses |
title_full |
PalmType: Using Palms as Keyboards for Smart Glasses |
title_fullStr |
PalmType: Using Palms as Keyboards for Smart Glasses |
title_full_unstemmed |
PalmType: Using Palms as Keyboards for Smart Glasses |
title_sort |
palmtype: using palms as keyboards for smart glasses |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/48899687781795709894 |
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