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ISSCC 2015Session 18 · SoCs FOR MOBILE VISION, SENSING, AND COMMUNICATIONSDigital Processors

A 2.71nJ/Pixel 3D-Stacked Gaze-Activated Object-Recognition System for Low-Power Mobile HMD Applications

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

本文提出了一种用于低功耗移动头戴显示(HMD)应用的3D堆叠注视激活对象识别系统,解决了传统HMD用户界面缺乏智能性和隐私问题。该系统通过注视激活交互和高效的对象识别算法,实现了2.71nJ/pixel的极低能耗。

💡 主要创新点

核心指标
2.71nJ/Pixel
重要性
发表年份
ISSCC 2015

🏷 关键词

3D堆叠注视激活对象识别低功耗HMD能量效率

📄 原文摘要

next-generation mainstream wearable devices. However, previous HMD systems [1] have had limited application, primarily due to their lacking a smart user interface (UI) and user experience (UX). Since HMD systems have a small compact wearable platform, their UI requires new modalities, rather than a computer mouse or a 2D touch panel. Recent speech-recognition-based UIs 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. In this paper, we propose a low-power OR system with an intention-concealed

👥 作者与机构

Injoon Hong, Kyeongryeol Bong, Dongjoo Shin, Seongwook Park,

Kyuho Lee, Youchang Kim, Hoi-Jun Yoo KAIST, Daejeon, Korea Smart eyeglasses or head-mounted displays (HMDs) have been gaining traction as

分类:Digital Processors · 年份:ISSCC 2015