PalmType: Using Palms as Keyboards for Smart Glasses
Date Issued
2014
Date
2014
Author(s)
Chu, Wei-Chen
Abstract
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.
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.
Subjects
鍵盤
智慧眼鏡
手掌
Type
thesis
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