Wireless sensor system for real-time performance monitoring in sports

Berg, Martin F.; Døsvik, Henrik; Skjølsvik, Kirsti Ø.; Pedersen, Thea Solberg; Aasan, Viljar; Steinert, Martin; Eikevåg, Sindre W.

doi:10.3389/fspor.2023.1305117

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…Rapid prototyping allows creating structural components, new product forms, communicating design concepts, and evaluating human-product interactions, to explore new design directions (Gibson et al, 2021). It also allows testing of various technological aspects, including fatigue and kinematic performance (Berg et al, 2023;Eikevåg et al, 2022). Such past design research suggests that integrating these diverse design practices drives creation of innovative products.…”

Section: Integration Of Diverse Design Practicesmentioning

confidence: 99%

“…However, each design practice enacts its biased productive thinking, such as requirements and technology in engineering design, aesthetics and form in industrial design, or needs and new experiences in human-centred design. Engineering design, including AM and sensor technologies, offers rapid prototyping techniques and in-situ evaluation (Berg et al, 2023;Sletten et al, 2021). Industrial Design expertise develops forms that delight people in their lives (Krippendorff, 1989).…”

Section: Introductionmentioning

confidence: 99%

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Human-centred engineering design: a cross-disciplinary product innovation practice

Eikevåg,

Auernhammer,

Elverum

et al. 2024

Proc. Des. Soc.

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This article introduces a Human-centred Engineering Design (HcED) practice, which values human aspects. This practice engages deeply into (1) human geometry and motion for specific tasks, (2) product and manufacturing complexities through rapid prototyping, and (3) the broader human task context. This cross-disciplinary method combines ergonomics, AM, sensor applications, and multiple design practices. The framework provides concrete tasks to drive innovative designs in engineering. The study, grounded in design research case studies, led to five new Paralympic Rowing world records.

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Section: Integration Of Diverse Design Practicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Human-centred engineering design: a cross-disciplinary product innovation practice

Eikevåg,

Auernhammer,

Elverum

et al. 2024

Proc. Des. Soc.

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Optimizing young tennis players’ development: Exploring the impact of emerging technologies on training effectiveness and technical skills acquisition

Liu,

Wu,

Xiao

et al. 2024

PLoS ONE

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The research analyzed the effect of weekly training plans, physical training frequency, AI-powered coaching systems, virtual reality (VR) training environments, wearable sensors on developing technical tennis skills, with and personalized learning as a mediator. It adopted a quantitative survey method, using primary data from 374 young tennis players. The model fitness was evaluated using confirmatory factor analysis (CFA), while the hypotheses were evaluated using structural equation modeling (SEM). The model fitness was confirmed through CFA, demonstrating high fit indices: CFI = 0.924, TLI = 0.913, IFI = 0.924, RMSEA = 0.057, and SRMR = 0.041, indicating a robust model fit. Hypotheses testing revealed that physical training frequency (β = 0.198, p = 0.000), AI-powered coaching systems (β = 0.349, p = 0.000), virtual reality training environments (β = 0.476, p = 0.000), and wearable sensors (β = 0.171, p = 0.000) significantly influenced technical skills acquisition. In contrast, the weekly training plan (β = 0.024, p = 0.834) and personalized learning (β = -0.045, p = 0.81) did not have a significant effect. Mediation analysis revealed that personalized learning was not a significant mediator between training methods/technologies and acquiring technical abilities. The results revealed that physical training frequency, AI-powered coaching systems, virtual reality training environments, and wearable sensors significantly influenced technical skills acquisition. However, personalized learning did not have a significant mediation effect. The study recommended that young tennis players’ organizations and stakeholders consider investing in emerging technologies and training methods. Effective training should be given to coaches on effectively integrating emerging technologies into coaching regimens and practices.

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In-field 3D printing of form-fitted generatively designed components—a case study on paralympic sit-ski equipment

Nesheim,

Eikevåg,

Steinert

et al. 2024

Front. Mech. Eng.

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Creating specialized components featuring complex structures typically involves extensive time, CAD modelling and manual labor. However, with the right combination of tools and knowledge, complex components can be generated, manufactured, and utilized within hours, rather than weeks or months. By creating a portable manufacturing setup, the designer can produce components on site, significantly enhancing accessibility. An example where time and accessibility are of vital importance is in paralympic cross country skiing where training schedules are tight and snow conditions vary. The aim of this study was to generate and manufacture form-fitted, lightweight knee-supports for a Paralympic sit-ski athlete within 4 days. This was done by 3D printing components generated using Fusion 360s Generative Design (GD), based on inputs from the athlete’s geometry, material testing and force data resulting from the athlete’s weight and movement. A precise fit around the knees was achieved using a high-accuracy 3D scanner and modelling software to create an adjustable prototype to determine knee positions and key angles. Force data from the knees were gathered using a digital twin sit-ski. Based on the collected data, the maximum forces inserted into the GD model were 700N and 500N for the right and left knee, respectively. Material data was obtained through testing ABS samples manufactured under the same conditions as the knee-supports themselves. The Young’s modulus was calculated to EXY=1.945±0.061GPa and EXZ=2.123±0.108GPa and UTS was σXY=31.408±0.774MPa and σXZ=25.859±1.956MPa. The GD model generated seven models to choose from for each knee. The supports were manufactured using a 3D printer modified to increase the volumetric flow, effectively reducing manufacturing time. Manufacturing time of the final knee-supports were 6 h 33 min and 7 h 24 min and the total weight of the components including support structures were 468 g and 532 g for the right and left knee, respectively. Later optimized print settings reduced the manufacturing time to 4 h 40 min. In total, two iterations of knee-supports were produced, and the final lightweight versions were mounted onto the sit-ski within 4 days. Qualitative feedback from the athlete revealed improved fit, increased stability, surprisingly short manufacturing time and a generally pleasing result.

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Wireless sensor system for real-time performance monitoring in sports

Cited by 3 publications

References 32 publications

Human-centred engineering design: a cross-disciplinary product innovation practice

Human-centred engineering design: a cross-disciplinary product innovation practice

Optimizing young tennis players’ development: Exploring the impact of emerging technologies on training effectiveness and technical skills acquisition

In-field 3D printing of form-fitted generatively designed components—a case study on paralympic sit-ski equipment

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