18.1一个2.71nJ/像素的3d堆叠凝视激活物体识别系统,用于低功耗移动头戴设备应用

Injoon Hong, Kyeongryeol Bong, Dongjoo Shin, Seongwook Park, K. Lee, Youchang Kim, H. Yoo
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引用次数: 14

摘要

智能眼镜或头戴式显示器(hmd)已经成为下一代主流可穿戴设备。然而,以前的HMD系统[1]已经有有限的应用,主要是由于他们缺乏智能用户界面(Ul)和用户体验(UX)。由于HMD系统具有小型紧凑的可穿戴平台,因此它们的Ul需要新的模式,而不是计算机鼠标或2D触摸面板。最近基于语音识别的用户界面需要语音输入来显示用户的意图,不仅对头戴式头盔用户,也对其他人,这在公共空间引发了隐私问题。此外,先前的研究[2-3]试图在智能眼镜中支持物体识别(OR)或增强现实(AR),但功耗相当大,>381mW,导致2100mWh电池的运行时间< 6小时。
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18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications
Smart eyeglasses or head-mounted displays (HMDs) have been gaining traction as next-generation mainstream wearable devices. However, previous HMD systems [1] have had limited application, primarily due to their lacking a smart user interface (Ul) and user experience (UX). Since HMD systems have a small compact wearable platform, their Ul requires new modalities, rather than a computer mouse or a 2D touch panel. Recent speech-recognition-based Uls require voice input to reveal the user's intention to not only HMD users but also others, which raises privacy concerns in a public space. In addition, prior works [2-3] attempted to support object recognition (OR) or augmented reality (AR) in smart eyeglasses, but consumed considerable power, >381mW, resulting in <;6 hours operation time with a 2100mWh battery.
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