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5 results on '"Internet of Sounds"'

1. Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare

Author

Farrukh Pervez, Moazzam Shoukat, Varsha Suresh, Muhammad Umar Bin Farooq, Moid Sandhu, Adnan Qayyum, Muhammad Usama, Anna Girardi, Siddique Latif, and Junaid Qadir

Subjects
Internet of Audio Things for Healthcare, acoustic sensing, internet of sounds, artificial intelligence, speech processing, real-time monitoring and intervention, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64
Abstract

In the modern landscape of information and communication technologies, the current healthcare industry confronts significant challenges. These include a shortage of experienced medical professionals, disparities in access to healthcare services that persist across different regions around the globe, and an increased need for detailed, real-time monitoring of patients in both urban and remote regions. This article delves into the potential of the Internet of Audio Things for Healthcare (IoAuT4H), which lies at the intersection of Internet of Audio Things and the Internet of Medical Things, as a solution to these pressing issues. By seamlessly merging cutting-edge audio technology, networking, and the advanced deep learning techniques, the IoAuT4H emerges as a promising solution. It has the potential to reshape hospital and clinical infrastructure, streamline early medical interventions, and facilitate rapid emergency responses. Additionally, this study underscores the pivotal role of the IoAuT4H in strengthening overall health practices, refining care methods for the elderly, and rejuvenating paediatric health approaches. While the benefits of the IoAuT4H are numerous, this article also critically examines the challenges in its widespread adoption. These include ethical considerations, ensuring the accuracy of audio data, and integrating it effectively with existing healthcare systems. In conclusion, this article seeks to provide a comprehensive understanding of the IoAuT4H, positioning it as a bridge between current healthcare challenges and technological advancements.

Published
2024
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2. Towards an Internet of Multisensory, Multimedia and Musical Things (Io3MT) environment

Author

Augusto Vieira Costa, R (Romulo), Muchaluat-Saade, D.C. (Debora), César Garcia, P.S. (Pablo Santiago), Augusto Vieira Costa, R (Romulo), Muchaluat-Saade, D.C. (Debora), and César Garcia, P.S. (Pablo Santiago)

Abstract

The Internet of Multisensory, Multimedia and Musical Things (Io3MT) is a new concept that arises from the confluence of several areas of computer science, arts, and humanities, with the objective of grouping in a single place devices and data that explore the five human senses, besides multimedia aspects and music content. In this paper, we present the first practical environment that adheres to the principles outlined in this area, providing a comprehensive specification of the architecture, devices, protocols, and tools employed in its building. To validate the technical feasibility of our proposed system, we conducted an evaluation of the system’s quality of service (QoS). Furthermore, we performed a comparative analysis with related work in the field, providing a comprehensive assessment of our approach contributions and novelties.

Published
2023
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4. The Musical Interactivity Area : An Attempt to Map the Intersection Between Composition and Instrument Through the Use of the Gestrument Engine

Author

Nordin, Jesper and Nordin, Jesper

Abstract

This paper describes the use of the Gestrument Engine as a tool to develop a more articulated understanding of the interaction between user and digital instruments in musical creativity. Through the use of the Gestrument Engine, the paper seeks to develop a new model, the Musical Interactivity Area. This is a visualisation of the area between a composed piece of music and a playable instrument, mapping out possibilities that arise when using tools where it is possible to both pre-define the confines of the input data as well as the structural and temporal musical content. The Gestrument Engine is used by defining several alternative versions of the same musical rules, and later positioning these versions within the Musical Interactivity Area to exemplify the model., ISBN för värdpublikation: 978-952-69244-3-4

Published
2020

5. The Internet of Audio Things: state-of-the-art, vision, and challenges

Author

György Fazekas, Mathieu Lagrange, Luca Turchet, Carlo Fischione, Hossein S. Ghadikolaei, Royal Institute of Technology [Stockholm] (KTH ), Università degli Studi di Trento (UNITN), Queen Mary University of London (QMUL), Laboratoire des Sciences du Numérique de Nantes (LS2N), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Ecole Polytechnique Fédérale de Lausanne (EPFL), ANR-16-CE22-0012,CENSE,Caractérisation des environnements sonores urbains : vers une approche globale associant données libres, mesures et modélisations(2016), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)

Subjects
Computer science, Interoperability, 02 engineering and technology, Representation (arts), Electrical Engineering, Electronic Engineering, Information Engineering, sensors, internet of audio things (ioaut), computer.software_genre, 01 natural sciences, Ecoacoustics, Field (computer science), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], semantic web, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Elektroteknik och elektronik, 010301 acoustics, accuracy, Multimedia, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], Computer Science Applications, machine learning, classification, Internet of Audio Things, Hardware and Architecture, targets, The Internet, ecosystems, Internet of Things, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Information Systems, source localization, auditory scene analysis, Computer Networks and Communications, Auditory Scenes Analysis, Internet of Sounds, system, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Smart city, 0103 physical sciences, Wireless, music, time synchronization, business.industry, 020206 networking & telecommunications, internet of things, Information and Communications Technology, network, Signal Processing, Smart City, production, State (computer science), business, computer
Abstract

International audience; The Internet of Audio Things (IoAuT) is an emerging research field positioned at the intersection of the Internet of Things, sound and music computing, artificial intelligence, and human-computer interaction. The IoAuT refers to the networks of computing devices embedded in physical objects (Audio Things) dedicated to the production, reception, analysis and understanding of audio in distributed environments. Audio Things, such as nodes of wireless acoustic sensor networks, are connected by an infrastructure that enables multidirectional communication, both locally and remotely. In this paper, we first review the state of the art of this field, then we present a vision for the IoAuT and its motivations. In the proposed vision, the IoAuT enables the connection of digital and physical domains by means of appropriate information and communication technologies, fostering novel applications and services based on auditory information. The ecosystems associated with the IoAuT include interoperable devices and services that connect humans and machines to support human-human and human-machines interactions. We discuss challenges and implications of this field, which lead to future research directions on the topics of privacy, security, design of Audio Things, and methods for the analysis and representation of audio-related information.

Published
2020
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