As the two prime examples of sport light, running and walking have become very popular sports activities in the past decades. There are references in the literature of similarities between both sports, however these parallels have never been studied. In addition, the current digitalisation of society can have important influences on the further diversification of profiles. Data of a large-scale population survey among runners and walkers (n = 4913) in Flanders (Belgium) were used to study their sociodemographic, sports related and attitudinal characteristics, and wearable usage. The results showed that walkers are more often female, older, lower educated, and less often use wearables. To predict wearable usage, sports-related and attitudinal characteristics are important among runners but not among walkers. Motivational variables to use wearables are important to predict wearable usage among both runners and walkers. Additionally, whether or not the runner or walker registers the heart rate is the most important predictor. The present study highlights similarities and differences between runners and walkers. By adding attitudinal characteristics and including walkers this article provides new insights to the literature, which can be used by policymakers and professionals in the field of sport, exercise and health, and technology developers to shape their services accordingly.
Introduction: To determine if athletes with coordination impairment (CI) can continue playing wheelchair rugby (WR), while an evidence-based classification system, including impairment tests for CI is not yet available. This is a defensible practise if they show similar activity limitations as athletes with other eligible impairment types (OI) within the same sports class. Methods: Standardised activities were measured in 58 elite WR athletes; 14 with CI and 44 with OI. Wheelchair activities consisted of 20-meter sprint, 12-meter sprint with full stop, intermittent sprint (3-meter sprint, stop, 3-meter sprint, stop, 6-meter sprint with full stop), sprint-curve-slalom-curve, turn on the spot 180°, turn on the spot 90°, stop, turn 90°in the same direction, X-test (short circuit with sharp turns) without the ball. Ball activities consisted of maximal throwing distance, precision throwing short (25% of maximum throw) and long (75% of maximal throw) distance and X-test with the ball (pick-up the ball and dribble whilst pushing). Descriptive statistics were used and Spearman’s Rank correlation was assessed for athletes with CI and OI for each outcome measure. Differences between athletes with CI and OI were assessed using a Mann-Whitney U test. Results: Most activities showed a high correlation with the athlete class in both athletes with CI and athletes with OI. Furthermore, outcome measures of athletes with CI overlapped with athletes with OI in the same sports class for all activities. There was a trend for worse performance in athletes with CI in turn on the spot 90°, stop, turn 90°in the same direction, the short distance one handed precision throw (P 0.11)and in the X-test with the ball (P 0.10). Discussion: Despite the current lack of evidence based impairment tests for CI, it is a defensible practise to not exclude athletes with CI from WR with the current classification system. The trends for differences in performance that were found can support athletes and coaches in optimising performance of athletes with CI.
In sports, inertial measurement units are often used to measure the orientation of human body segments. A Madgwick (MW) filter can be used to obtain accurate inertial measurement unit (IMU) orientation estimates. This filter combines two different orientation estimates by applying a correction of the (1) gyroscope-based estimate in the direction of the (2) earth frame-based estimate. However, in sports situations that are characterized by relatively large linear accelerations and/or close magnetic sources, such as wheelchair sports, obtaining accurate IMU orientation estimates is challenging. In these situations, applying the MW filter in the regular way, i.e., with the same magnitude of correction at all time frames, may lead to estimation errors. Therefore, in this study, the MW filter was extended with machine learning to distinguish instances in which a small correction magnitude is beneficial from instances in which a large correction magnitude is beneficial, to eventually arrive at accurate body segment orientations in IMU-challenging sports situations. A machine learning algorithm was trained to make this distinction based on raw IMU data. Experiments on wheelchair sports were performed to assess the validity of the extended MW filter, and to compare the extended MW filter with the original MW filter based on comparisons with a motion capture-based reference system. Results indicate that the extended MW filter performs better than the original MW filter in assessing instantaneous trunk inclination (7.6 vs. 11.7◦ root-mean-squared error, RMSE), especially during the dynamic, IMU-challenging situations with moving athlete and wheelchair. Improvements of up to 45% RMSE were obtained for the extended MW filter compared with the original MW filter. To conclude, the machine learning-based extended MW filter has an acceptable accuracy and performs better than the original MW filter for the assessment of body segment orientation in IMU-challenging sports situations.
Digital innovations in the field of immersive Augmented Reality (AR) can be a solution to offer adults who are mentally, physically or financially unable to attend sporting events such as premier league football a stadium and match experience. This allows them to continue to connect with their social networks. In the intended project, AR content will be further developed with the aim of evoking the stadium experience of home matches as much as possible. The extent to which AR enriches the experience is then tested in an experiment, in which the experience of a football match with and without AR enrichment is measured in a stadium setting and in a home setting. The experience is measured with physiological signals. In addition, a subjective experience measure is also being developed and benchmarked (the experience impact score). Societal issueInclusion and health: The joint experience of (top) sports competitions forms a platform for vulnerable adults, with a limited social capital, to build up and maintain the social networks that are so necessary for them. AR to fight against social isolation and loneliness.
Ballet en moderne dans zijn een vorm van topsport. De druk op dansers is enorm. Lange en intensieve werkdagen, veel reizen en verschillende werkplekken maken het lastig om lichaam en geest goed te verzorgen. Hierdoor liggen blessures en mentale klachten op de loer. Nederlandse dansgezelschappen willen meer aandacht gaan besteden aan preventieve maatregelen om fysieke en mentale problemen bij hun dansers te voorkomen. Het ontbreekt hen echter aan kennis en kunde om dit innovatieve vraagstuk op te kunnen pakken. Het Nationale Ballet en het Scapino Ballet hebben het lectoraat Performing Arts Medicine van Codarts (Hogeschool voor de Kunsten Rotterdam) benaderd om antwoord te krijgen op de vraag hoe dansers op de hoogste podia, op gezonde wijze, hun beste performance kunnen laten zien. Gezamenlijk is deze praktijkvraag omgevormd naar drie onderzoeksdoelstellingen: 1. Opstellen van meetinstrumenten om de fysieke en mentale gezondheid van dansers te screenen en te monitoren; 2. Ontwerpen van een web-based systeem dat automatisch en real-time informatie uit de ontwikkelde meetinstrumenten kan inlezen, analyseren en interpreteren; 3. Ontwikkelen van een Fit to Perform protocol dat aanbevelingen geeft ten aanzien van het verbeteren van de fysieke en mentale gesteldheid van de danser. Het consortium bestaat uit de volgende organisaties: - Praktijkgerichte onderzoeksinstellingen: Codarts Rotterdam en Hogeschool van Amsterdam; - Universiteiten: ErasmusMC, Technische Universiteit Eindhoven en Vrije Universiteit Amsterdam; - Praktijkinstellingen: Het Nationale Ballet en het Scapino Ballet; - Overige instellingen: het Nederlands Paramedisch Instituut (NPi) en het Nationale Centrum Performing Arts (NCPA). Bij de samenstelling van het consortium is gekozen voor een goede mix tussen praktijkorganisaties, onderzoeksinstituten en onderwijsinstellingen. Daarnaast is er sprake van cross-sectorale samenwerking doordat kennis vanuit de podiumkunsten, sport, gezondheidszorg, onderwijs en technologie met elkaar verbonden wordt.
Codarts wil met deze SPRONG-aanvraag het PErforming artist and Athlete Research Lab (PEARL) oprichten. PEARL is het nationale onderzoekscentrum dat zich richt op de gezondheid en vitaliteit van podiumkunstenaars (dansers, musici en circusartiesten) en sporters. Doel van PEARL is om bij podiumkunstenaars en sporters enerzijds gezondheidsklachten te voorkomen en anderzijds de gezondheid te optimaliseren, zodat zij in staat zijn om tot excellente prestaties te komen. PEARL bestaat uit acht fieldlabs. Dit zijn fysieke locaties in ‘het veld’ met unieke test- en meetfaciliteiten waar podiumkunstenaars, sporters, maar ook (revaliderende) patiënten ter plekke onderzocht en geadviseerd worden. Deze fieldlabs verzamelen onder leiding van onderzoekers gegevens over de gezondheid van podiumkunstenaars en sporters. De gegevens worden opgeslagen in een datawarehouse, geanalyseerd en op begrijpelijke wijze teruggekoppeld naar podiumkunstenaars, sporters en hun begeleiders. PEARL vormt de (tot nog toe ontbrekende) verbindende schakel tussen podiumkunsten, sport, zorg, onderzoek, onderwijs en bedrijfsleven. Dankzij de interdisciplinaire programmatische aanpak en visie kan PEARL inspelen op de doelstellingen en behoeften van alle betrokken partijen en deze effectief bedienen. PEARL brengt bewegingswetenschappers, fysiotherapeuten, sportartsen, ICT’ers, MKB’ers en data scientists samen. Zij kunnen gezamenlijk op basis van de data podiumkunstenaars, sporters en hun begeleiders trainingsprogramma’s op maat aanbieden. Dankzij deze unieke krachtenbundeling is het met PEARL mogelijk wetenschappelijk gefundeerd beleid te maken om de gezondheid van podiumkunstenaars en sporters te optimaliseren. Hierdoor zal PEARL in Nederland een grote bijdrage leveren aan betere topsport- en podiumprestaties en aan het reduceren van blessures. Wat het buitenland betreft: het is de bedoeling dat PEARL uiteindelijk zal uitgroeien tot een, internationaal toonaangevend, Advanced Research Center. De volgende organisaties zijn bij PEARL betrokken: - Kennisinstellingen: Codarts Rotterdam, ErasmusMC, VUmc, Hogeschool Rotterdam, Rotterdam Arts & Sciences Lab (RASL) - Podiumkunsten: Het Nationaal Ballet, Rotterdams Philharmonisch Orkest, Circusstad Rotterdam en het Nationaal Centrum Performing Arts (NCPA) - Sport: Rotterdam Topsport - Zorg: Nederlandse Vereniging voor Fysiotherapie in de Sportgezondheidszorg (NVFS) en het Nederlands Paramedisch Instituut (NPI) - MKB: Johan Sports, Sportgeneeskunde Rotterdam
