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Università degli studi di Trento

Measurement technologies to enhance human capabilities via Mixed Reality

Abstract

dc:description

In the relentless pursuit of human progress, technological innovations have always played a key role in shaping our society. In recent years, the convergence of innovative measurement technologies with Mixed Reality (MR) has emerged as a groundbreaking paradigm, offering transformative solutions to enhance individuals across multiple domains. This dissertation focuses on MR-based applications designed and optimized to restore human centrality, fostering advances in healthcare, education, and industry. The primary purpose is to provide end users with the best tools to enhance their perception-action loop in work or education, empowering them to better achieve and control their final goals. Through the synergy between immersive visualization technologies and a framework based on innovative measurement systems, unique environments are created to enhance end users at different levels of the perception-action loop, leading to improved outcomes and overall well-being. Measurement technologies include three-dimensional cameras, wearable sensors, inertial sensors, thermal cameras, and pressure matrices. Many challenges were overcome in this dissertation, such as designing and testing the proper measurement frame and interface, finding new calibration procedures for measurement systems, and developing original data processing techniques in computer vision and machine learning.

Degree

thesis:*
Grantor dc:publisher
Università degli studi di Trento
Year dc:date
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Luchetti, Alessandro
Contributors dc:contributor
  • De Cecco, Mariolino
  • Bosetti, Paolo
  • Del Prete, Andrea

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
  • license:Tutti i diritti riservati (All rights reserved)
  • license uri:iris.PRI01
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:iris.unitn.it:11572/398049

Chain of custody

source
Harvested from
Università degli Studi di Trento
Base URL
iris.unitn.it/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Luchetti, Alessandro. Measurement technologies to enhance human capabilities via Mixed Reality. Università degli studi di Trento, 2023. https://hdl.handle.net/11572/398049