Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments

The use of small, interconnected and intelligent tools within the broad framework of pervasive computing for analysis and assessments in sport and physical activity is not a trend in itself but defines a way for information to be handled, processed and utilised: everywhere, at any time. The demand f...

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Main Authors: Arnold Baca, Peter Dabnichki, Che-Wei Hu, Philipp Kornfeind, Juliana Exel
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/21/8370
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author Arnold Baca
Peter Dabnichki
Che-Wei Hu
Philipp Kornfeind
Juliana Exel
author_facet Arnold Baca
Peter Dabnichki
Che-Wei Hu
Philipp Kornfeind
Juliana Exel
author_sort Arnold Baca
collection DOAJ
description The use of small, interconnected and intelligent tools within the broad framework of pervasive computing for analysis and assessments in sport and physical activity is not a trend in itself but defines a way for information to be handled, processed and utilised: everywhere, at any time. The demand for objective data to support decision making prompted the adoption of wearables that evolve to fulfil the aims of assessing athletes and practitioners as closely as possible with their performance environments. In the present paper, we mention and discuss the advancements in ubiquitous computing in sports and physical activity in the past 5 years. Thus, recent developments in wearable sensors, cloud computing and artificial intelligence tools have been the pillars for a major change in the ways sport-related analyses are performed. The focus of our analysis is wearable technology, computer vision solutions for markerless tracking and their major contribution to the process of acquiring more representative data from uninhibited actions in realistic ecological conditions. We selected relevant literature on the applications of such approaches in various areas of sports and physical activity while outlining some limitations of the present-day data acquisition and data processing practices and the resulting sensors’ functionalities, as well as the limitations to the data-driven informed decision making in the current technological and scientific framework. Finally, we hypothesise that a continuous merger of measurement, processing and analysis will lead to the development of more reliable models utilising the advantages of open computing and unrestricted data access and allow for the development of personalised-medicine-type approaches to sport training and performance.
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spelling doaj.art-f30b1b303b3b4a50ad90080b4b36a3682023-11-24T06:46:59ZengMDPI AGSensors1424-82202022-11-012221837010.3390/s22218370Ubiquitous Computing in Sports and Physical Activity—Recent Trends and DevelopmentsArnold Baca0Peter Dabnichki1Che-Wei Hu2Philipp Kornfeind3Juliana Exel4Centre for Sport Science and University Sports, University of Vienna, 1150 Vienna, AustriaSTEM College, RMIT University, Melbourne, VIC 3000, AustraliaSTEM College, RMIT University, Melbourne, VIC 3000, AustraliaCentre for Sport Science and University Sports, University of Vienna, 1150 Vienna, AustriaCentre for Sport Science and University Sports, University of Vienna, 1150 Vienna, AustriaThe use of small, interconnected and intelligent tools within the broad framework of pervasive computing for analysis and assessments in sport and physical activity is not a trend in itself but defines a way for information to be handled, processed and utilised: everywhere, at any time. The demand for objective data to support decision making prompted the adoption of wearables that evolve to fulfil the aims of assessing athletes and practitioners as closely as possible with their performance environments. In the present paper, we mention and discuss the advancements in ubiquitous computing in sports and physical activity in the past 5 years. Thus, recent developments in wearable sensors, cloud computing and artificial intelligence tools have been the pillars for a major change in the ways sport-related analyses are performed. The focus of our analysis is wearable technology, computer vision solutions for markerless tracking and their major contribution to the process of acquiring more representative data from uninhibited actions in realistic ecological conditions. We selected relevant literature on the applications of such approaches in various areas of sports and physical activity while outlining some limitations of the present-day data acquisition and data processing practices and the resulting sensors’ functionalities, as well as the limitations to the data-driven informed decision making in the current technological and scientific framework. Finally, we hypothesise that a continuous merger of measurement, processing and analysis will lead to the development of more reliable models utilising the advantages of open computing and unrestricted data access and allow for the development of personalised-medicine-type approaches to sport training and performance.https://www.mdpi.com/1424-8220/22/21/8370pervasive computingcloud computingwearable technologysports performancephysical activityperformance analysis
spellingShingle Arnold Baca
Peter Dabnichki
Che-Wei Hu
Philipp Kornfeind
Juliana Exel
Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments
Sensors
pervasive computing
cloud computing
wearable technology
sports performance
physical activity
performance analysis
title Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments
title_full Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments
title_fullStr Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments
title_full_unstemmed Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments
title_short Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments
title_sort ubiquitous computing in sports and physical activity recent trends and developments
topic pervasive computing
cloud computing
wearable technology
sports performance
physical activity
performance analysis
url https://www.mdpi.com/1424-8220/22/21/8370
work_keys_str_mv AT arnoldbaca ubiquitouscomputinginsportsandphysicalactivityrecenttrendsanddevelopments
AT peterdabnichki ubiquitouscomputinginsportsandphysicalactivityrecenttrendsanddevelopments
AT cheweihu ubiquitouscomputinginsportsandphysicalactivityrecenttrendsanddevelopments
AT philippkornfeind ubiquitouscomputinginsportsandphysicalactivityrecenttrendsanddevelopments
AT julianaexel ubiquitouscomputinginsportsandphysicalactivityrecenttrendsanddevelopments