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Massachusetts Institute of Technology

Enhancing internet of things experience in augmented reality environments

Abstract

dc:description.abstract

Seamless perception of objects' physical properties, such as temperature, is a key to improving the way we live and work. Thanks to the rapid development of sensor technology, Internet of Things (IoT) is shaping our world by expanding digital connectivity to real objects. In this way, physical properties of objects can be effectively collected, processed, transmitted and shared. Yet, only being able to sense the surrounding environment is not enough: A user-friendly way to visualize information is also required. Today, Augmented Reality (AR), which overlays digital information onto physical objects, is growing fast, and has been adopted successfully in many fields. This thesis focuses on fusing advantages of various technologies to create a better IoT experience in AR environment.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sun, Yongbin,Ph. D.Massachusetts Institute of Technology.
Advisor dc:contributor.advisor
  • Sanjay Sarma.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/127062
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/127062

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sun, Yongbin,Ph. D.Massachusetts Institute of Technology.. Enhancing internet of things experience in augmented reality environments. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127062