ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information
ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information
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ASSIST：通过多模态传感器和高级语义信息进行个性化室内导航
DOI：
10.1007/978-3-030-11024-6_9
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Zhu, Z.
中科院分区：
文献类型：
--
作者：
Nair, V.;Budhai, M.;Olmschenk, G.;Seiple, W. H.;Zhu, Z.
盲人和视障人士（BVI）以及自闭症谱系障碍（ASD）患者在导航不熟悉的室内环境时都面临着独特的挑战。在本文中，我们提出了一个室内定位和导航系统，引导用户从点A到点B室内高精度，同时增强他们的态势感知。该系统有三个主要组成部分：位置识别（一个混合室内定位应用程序，使用蓝牙低功耗信标和谷歌探戈提供高精度），对象识别（一个身体安装的摄像头，为用户提供物体和人的瞬间情境意识），和语义识别（基于地图的注释，提醒用户静态环境特征）。该系统还具有基于BVI和ASD个人在室内寻路方面的独特体验的个性化界面，并根据他们的需求量身定制其多模式反馈。在这里，该系统的技术方法和实施进行了讨论，并与BVI和ASD个人的人类受试者测试的结果。此外，我们讨论和展示了系统的以用户为中心的界面，并提出了未来的工作和扩展点。
Blind & visually impaired (BVI) individuals and those with Autism Spectrum Disorder (ASD) each face unique challenges in navigating unfamiliar indoor environments. In this paper, we propose an indoor positioning and navigation system that guides a user from point A to point B indoors with high accuracy while augmenting their situational awareness. This system has three major components: location recognition (a hybrid indoor localization app that uses Bluetooth Low Energy beacons and Google Tango to provide high accuracy), object recognition (a body-mounted camera to provide the user momentary situational awareness of objects and people), and semantic recognition (map-based annotations to alert the user of static environmental characteristics). This system also features personalized interfaces built upon the unique experiences that both BVI and ASD individuals have in indoor wayfinding and tailors its multimodal feedback to their needs. Here, the technical approach and implementation of this system are discussed, and the results of human subject tests with both BVI and ASD individuals are presented. In addition, we discuss and show the system’s user-centric interface and present points for future work and expansion.
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