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Spatial Orientation in Virtual Reality with the Help of Continuous Updating between Different Viewpoints
No full textThis thesis is related to spatial orientation in virtual reality. Spatial orientation is important and essential in daily life but more difficult to gain and retain in synthetic and virtual environments with reduced sensory input than in real environments. Previous studies showed that more cameras or different viewpoints can provide better performance in navigation, however, switching between different viewpoints often proved challenging. In the current study, we used a treasure hunting game in a virtual environment experienced via a head-mounted display to explore whether egocentric viewpoints (egocentric bird’s eye view vs. map) and particularly a continuous viewpoint change from the bird’s eye view to the egocentric view on the ground improve performance in a new environment. Three conditions were designed as map, abrupt (switch directly from egocentric bird’s eye view to egocentric ground view) and continuous support systems. In the first experiment, participants were allowed to use different systems freely during navigation and instructed to find five targets in a particular sequence. Results showed that when participants decided to finish the task based on their memory, they exhibited the best performance. However, when they chose to use a support system, they exhibited equivalent performance with less use of the continuous system compared to the map or abrupt system. In the second experiment where the respective overview was provided just once at the beginning of every trial, participants' performance reflected the expected advantage of the continuous change between viewpoints. Furthermore, with sudden switches, the egocentric bird’s eye view provided better support than the map view. In the continuous condition, the memorization interval was longer than in the map and abrupt conditions. In the third experiment, we improved experimental control by equalizing the duration of the memorization interval between conditions and inserted an additional task after the memorization interval and before the start of target search. Results showed similar performance in navigation in all three conditions. Indicators of strategy suggested that participants navigated less hesitantly and more efficiently in the continuous condition. To conclude, the results partly supported our hypothesis of a particular benefit from a continuous support system transitioning smoothly between an overview and the ego-perspective on the ground for spatial orientation and navigation.:Content 1
Zusammenfassung 3
Table List 5
Table of Figures 6
Appendix List 8
Acknowledgments 9
Chapter 1: Introduction 10
1.1. Spatial Orientation in Virtual Reality 10
1.1.1. Background: Spatial Orientation and Navigation 10
1.1.2. Tasks: Target-Finding Tasks 12
1.1.3. Settings: Translation and Rotation 13
1.1.4. Mediator: Navigation Strategies 15
1.2. Navigation Performance Enhancement 17
1.2.1. Assistance Systems 17
1.2.2. Different Viewpoints and Their Integration 18
1.2.3. Continuous Updating and Spatial Orientation 22
1.3. Spatial Representation, Memory, and Experience 25
1.3.1. Spatial Representations 25
1.3.2. Working Memory and Long-term Memory 27
1.3.3. Other Types of Experience 30
1.4. Current Study with Research Problems 31
Chapter 2: Experiments 33
2.1. Experiment 1: Multiple Use of Different Systems in Navigation 33
2.1.1. Method 33
2.1.2. Results 43
2.1.3. Discussion 52
2.1.4. Conclusion 57
2.2. Experiment 2: Single Use of Different Systems in Navigation 58
2.2.1. Method 58
2.2.2. Results 65
2.2.3. Discussion 74
2.2.4. Conclusion 78
2.3. Experiment 3: Equalizing Exposure Across the Different Systems 79
2.3.1. Method 79
2.3.2. Results 82
2.3.3. Discussion 89
2.3.4. Conclusion 91
Chapter 3: Comparisons and Cross-Experiment Analysis 92
3.1. Comparisons and Progress of All Three Experiments 92
3.2. Cognitive Load During Navigation 96
3.3. Subjective Feelings and Psychological States 99
3.4. The Advantage and Limitation of the Continuous Support System 102
Chapter 4: Conclusion and Future Work 104
4.1. Conclusion 104
4.2. Future Work 105
Reference 106
Appendix A 119
Declaration 12
Beitrag zur Modellierung des Aufschwimmverhaltens hydrodynamischer Gleitführungen
No full textHydrodynamische Gleitführungen arbeiten entsprechend unterschiedlicher Be-triebsbedingungen, z. B. Belastung, Gleitgeschwindigkeit und Schmierverfahren, in unterschiedlichen Reibungszuständen. Bei einer ausreichend hohen Geschwindig-keit schwimmt der Schlitten aufgrund des entstehenden hydrodynamischen Drucks zwischen den Gleitflächen auf. Das Führungssystem arbeitet dann im Flüssigkeits-reibungsbereich und der Verschleiß wird minimiert. Dagegen wird die Arbeitsgenau-igkeit des Führungssystems bedingt durch das betriebsbedingungsabhängige Aufschwimmverhalten reduziert. Der Zusammenhang zwischen den Betriebsbedin-gungen und dem Aufschwimmverhalten wurde bisher nicht tiefgründig untersucht und modelliert. In der vorliegenden Arbeit werden die Einflussfaktoren auf das bewegungsabhängi-ge Aufschwimmverhalten eines hydrodynamischen Gleitführungssystems im Ge-schwindigkeitsbereich ab 10 m/min bis 100 m/min experimentell untersucht und ein dynamisches Modell zur Beschreibung dieses Verhaltens aufgebaut. Das Modell basiert auf der Reynold’sche Differentialgleichung, der Integration des Massener-haltungssatzes und diverser Faktoren für die Korrektur und Beschreibung der Strömung im Schmierspalt. Es ist damit möglich, das Aufschwimmen einer hydro-dynamische Gleitführung in Abhängigkeit vom Schmierzustand theoretisch zu erklären und zu simulieren. Weiterhin kann die Ausprägung des ersten Schmierkeils nach einer Stillstandzeit im Modell dargestellt werden.:Inhaltsverzeichnis
Abbildungsverzeichnis 3
Tabellenverzeichnis 7
Symbol- und Abkürzungsverzeichnis 8
1 Motivation 10
2 Stand der Technik zu hydrodynamischen Gleitführungen in Werkzeugmaschinen 14
2.1 Erkenntnisse zur Funktion der hydrodynamischen Gleitführung 14
2.1.1 Reibungszustände und Verschleiß 15
2.1.2 Druckaufbau im Schmierkeil und Aufschwimmverhalten des Führungssystems 18
2.2 Einflussfaktoren des hydrodynamischen Gleitführungssystems und experimentellen Untersuchungen 20
2.2.1 Schmierverfahren 20
2.2.2 Geometrische Gestaltung 23
2.2.3 Materialpaarung und Gleitflächenbearbeitung 32
2.3 Berechnung des hydrodynamischen Drucks 35
2.3.1 Strömung im engen Schmierspalt 35
2.3.2 Simulative Untersuchungen 44
2.4 Schlussfolgerungen aus dem Stand der Technik 51
3 Ziel der Arbeit und grundsätzliche Vorgehensweise 54
4 Experimentelle Untersuchungen 58
4.1 Normierung der Messbedingungen 58
4.2 Aufbau des Versuchstandes 61
4.2.1 Messsystem am Versuchstand 65
4.2.2 Steuerung des Versuchstandes und Generierung der Messreihe 76
4.3 Experimentelle Untersuchungen zum Aufschwimmverhalten 84
4.3.1 Auswirkung der Führungsfläche 84
4.3.2 Auswirkung des Schienenprofils 97
4.3.3 Auswirkung der Schmierfilmdicke und des Schmierintervalls 103
4.4 Zusammenfassung der experimentellen Untersuchungen 110
5 Aufbau des dynamischen Modells 112
5.1 Weiterentwicklung der Lösungsmethode von Fuller 113
5.2 Aufbau des dynamischen Simulationsmodells 116
5.3 Mechanismen der Ausprägung des Schmierkeils beim Anlaufvorgang 125
5.4 Druckverteilung mit der Reynold’schen Differentialgleichung und Korrekturfaktoren 128
5.5 Volumen des Schmieröls im Schmierspalt mit Massenerhaltungssatz 137
5.6 Bestimmung des Aufschwimmwinkels und der Aufschwimmhöhe 144
6 Experimentelle Verifizierung des Modells 148
6.1 Bewegungsabhängiges Aufschwimmverhalten in Abhängigkeit vom entstehenden hydrodynamischen Druck 149
6.2 Bewegungsabhängiges Aufschwimmverhalten in Abhängigkeit von Oberflächenpressung und Schmierfilmdicke 155
6.3 Einflüsse der Führungsfläche auf das bewegungsabhängige Aufschwimmverhalten 160
7 Zusammenfassung und Ausblick 166
Literaturverzeichnis 169The hydrodynamic guide operates under various operating conditions, such as load, sliding velocity, and lubrication, resulting in different friction states. At high speeds, the carriage floats due to the generated hydrodynamic pressure in the lubrication wedge. The guide system then operates in the fluid friction range and minimizing wear. However, the operational accuracy of the guide system is reduced due to the operating condition-dependent floating behavior. The relationship between the floating behavior and the operating conditions has not been deeply investigated and modeled.
In this work, the influencing factors on the motion-dependent floating behavior of a hydrodynamic guide system are experimentally investigated in the speed range 0f 10 m/min to 100 m/min. A dynamic model is developed to describe this behavior. The model is based on the Reynolds equation, integration of the conservation of mass, and various factors to account the flow in the lubrication gap. This enables the theoretical explanation and simulation of the floating behavior of a hydrodynamic guide depending on the lubrication conditions. Furthermore, the formation of the first lubrication wedge after a period of standstill can be represented in the model.:Inhaltsverzeichnis
Abbildungsverzeichnis 3
Tabellenverzeichnis 7
Symbol- und Abkürzungsverzeichnis 8
1 Motivation 10
2 Stand der Technik zu hydrodynamischen Gleitführungen in Werkzeugmaschinen 14
2.1 Erkenntnisse zur Funktion der hydrodynamischen Gleitführung 14
2.1.1 Reibungszustände und Verschleiß 15
2.1.2 Druckaufbau im Schmierkeil und Aufschwimmverhalten des Führungssystems 18
2.2 Einflussfaktoren des hydrodynamischen Gleitführungssystems und experimentellen Untersuchungen 20
2.2.1 Schmierverfahren 20
2.2.2 Geometrische Gestaltung 23
2.2.3 Materialpaarung und Gleitflächenbearbeitung 32
2.3 Berechnung des hydrodynamischen Drucks 35
2.3.1 Strömung im engen Schmierspalt 35
2.3.2 Simulative Untersuchungen 44
2.4 Schlussfolgerungen aus dem Stand der Technik 51
3 Ziel der Arbeit und grundsätzliche Vorgehensweise 54
4 Experimentelle Untersuchungen 58
4.1 Normierung der Messbedingungen 58
4.2 Aufbau des Versuchstandes 61
4.2.1 Messsystem am Versuchstand 65
4.2.2 Steuerung des Versuchstandes und Generierung der Messreihe 76
4.3 Experimentelle Untersuchungen zum Aufschwimmverhalten 84
4.3.1 Auswirkung der Führungsfläche 84
4.3.2 Auswirkung des Schienenprofils 97
4.3.3 Auswirkung der Schmierfilmdicke und des Schmierintervalls 103
4.4 Zusammenfassung der experimentellen Untersuchungen 110
5 Aufbau des dynamischen Modells 112
5.1 Weiterentwicklung der Lösungsmethode von Fuller 113
5.2 Aufbau des dynamischen Simulationsmodells 116
5.3 Mechanismen der Ausprägung des Schmierkeils beim Anlaufvorgang 125
5.4 Druckverteilung mit der Reynold’schen Differentialgleichung und Korrekturfaktoren 128
5.5 Volumen des Schmieröls im Schmierspalt mit Massenerhaltungssatz 137
5.6 Bestimmung des Aufschwimmwinkels und der Aufschwimmhöhe 144
6 Experimentelle Verifizierung des Modells 148
6.1 Bewegungsabhängiges Aufschwimmverhalten in Abhängigkeit vom entstehenden hydrodynamischen Druck 149
6.2 Bewegungsabhängiges Aufschwimmverhalten in Abhängigkeit von Oberflächenpressung und Schmierfilmdicke 155
6.3 Einflüsse der Führungsfläche auf das bewegungsabhängige Aufschwimmverhalten 160
7 Zusammenfassung und Ausblick 166
Literaturverzeichnis 16
User Groups’ Mobility Needs towards CCAM Vehicles – Results from a large EU Survey
No full textNew mobility solutions, such as connected and cooperative automated mobility (CCAM) vehicles, are emerging. To ensure their inclusivity and societal acceptance, it is essential to consider the diverse needs of different user groups in their design. Mobility needs are often categorized into four key dimensions: availability, accessibility, affordability, and acceptability. These factors were tested on data from a large-scale EU-wide survey conducted across 7 countries, with 4472 individuals. Reliability analyses did not support the proposed four A-factor structure. An exploratory factor analysis aiming to identify a better-fitting structure demonstrated no solution with acceptable reliability, questioning the existence of distinct underlying constructs for these needs. Consequently, the study examined differences in the importance ratings of the needs on a single item level across nine distinct user groups, each assumed to have different preconditions and mobility requirements. Results indicated that all groups rated safety, cleanliness, and security similarly. However, elderly participants placed greater importance on the ability to influence the vehicle’s driving style and the possibility to pay offline compared to other groups. Additionally, both elderly individuals and rural residents assigned lower importance to vehicle sustainability and 24/7 availability. Single parents emphasized the need for child-friendly travel options. Overall, differences between user groups were less pronounced than anticipated, potentially due to the novelty of CCAM services. The findings highlight the relative importance of various user needs and offer practical implications for the design and implementation of CCAM vehicles
Datenschutz in der Justiz: Spannungsverhältnis zwischen richterlicher Unabhängigkeit und dem Recht auf informationelle Selbstbestimmung des Einzelnen
No full textDie Arbeit beschäftigt sich mit dem Datenschutz in der Justiz und dem dort bestehenden Spannungsverhältnis zwischen der grundrechtlich durch Art. 97 GG gewährleisteten richterlichen Unabhängigkeit auf der einen Seite und dem Recht des Einzelnen auf seine informationelle Selbstbestimmung, welches ebenfalls grundrechtlich geschützt ist, nach Art. 2 Abs. 1 i. V. m. Art. 1 Abs. 1 GG. Die Justiz wurde beim Datenschutz nicht ausgespart, es gibt eine Vielzahl an Problemen
Analysis of material degradation and its effect on weld seam strength during serial hot gas welding
No full textIn order to achieve short cycle times, gas temperatures of 500 °C or higher are used for welding plastics by means of serial hot gas welding. These temperatures are often distinctly higher than the decomposition temperature of the plastic to be joined. The thermal stresses can lead to chemical degradation and physical aging. This can negatively affect the lifetime of the weld and lead to premature failure. In this study, the fusion layers of polypropylene and polyamide are analyzed in terms of their thermal and thermal oxidative degradation using viscometry and FTIR spectroscopy. The results show that a detection of chain degradation and degradation products in the individual melt layer depths is possible. Furthermore, correlations between the depth of degradation and the weld strength can be identified. This characterization shows the first results of a holistic approach to the influence of thermal degradation in the weld seam as a function of the process parameters and their effects on weld seam properties. With the right joining strategy, it is possible to achieve high weld strength without the use of nitrogen and the associated material degradation. This could result in a significant cost reduction for the industry
Das Zusammenspiel von Need for Cognition und der sozialen Identität bei der Vorhersage von Studienleistung und Wohlbefinden
No full textZahlreiche Studien belegen einen massiven Nachteil für Studierende Erster Generation (SEG), insbesondere beim Übergang ins Studium. Hierbei wird die Bedeutung der sozialen Identität und einer möglichen Bedrohung dieser Identität bislang selten als Erklärungsansatz genutzt. Insbesondere in Bezug auf die Wechselwirkung mit dem Persönlichkeitsmerkmal Need for Cognition (NFC), das sich in vorherigen Studien als wichtige Ressource für das Studium im Allgemeinen gezeigt hat, könnten so neue Möglichkeiten aufgezeigt werden, die die Situation von SEG an der Universität verbessern könnten. Daher wurde in sechs Studien das Studienerleben von SEG nach der Studieneingangs-phase untersucht: In den Studien 1 bis 3 wurde die Rolle der sozialen Identität und NFC bei SEG gegenüber Studierenden Akademischen Hintergrundes (SAH) mittels Korrelationsanaly-sen und Modellvergleichen untersucht. In Studie 4 wurde der Einfluss der sozialen Identität bei SEG experimentell manipuliert und die implizite NFC-Ausprägung erfasst. In Studie 5 wurde das Studienerleben von SEG mit der Ergänzung der Einstellungen zu NFC untersucht. Abschließend wurde in Studie 6 das Studienerleben von SEG bei Teilnehmenden eines studi-umsbezogenen Mentoring-Programmes untersucht. Insgesamt zeigte sich NFC für SEG und SAH gleichermaßen als Ressource für das Studium in allen Bereichen. Erste Befunde zu der impliziten NFC-Ausprägung und den NFC-Einstellungen deuten aber auf mögliche Unterschiede bei SEG hin. Die Ergebnisse erbrachten insgesamt keine Hinweise darauf, dass sich SEG nach der Studieneingangsphase systematisch in ihrem Studienerleben und Studienerfolg von SAH unterscheiden. Stattdessen wurde deutlich, dass die individuellen Merkmale des sozialen Hintergrundes, wie beispielsweise soziale Normen, eine wichtigere Rolle in zukünftiger Forschung einnehmen sollten. Statt des sozialen Hintergrundes trat die studentische Identität in den Vordergrund und es zeigte sich, dass eine wahrgenommene Bedrohung dieser Identität destruktiv auf das Studienerleben und den Studienerfolg wirken kann. Die sich daraus ergebenden Ressourcen und Schwierigkeiten von Studierenden wer-den im Hinblick auf die Rolle individueller sozialer Hintergründe diskutiert und mögliche Implikationen für weitere Forschung und den Universitätsalltag abgeleitet
Additive Kernel Methods with Fourier Acceleration
No full textKernel matrices are crucial in many learning tasks, such as kernel ridge regression, support vector machines, or Gaussian process regression. One of the main computational bottlenecks when working with large-scale kernel-based learning is dealing with the large and typically dense kernel matrix. Depending on the dimension of the feature space, even computing all of its entries in a reasonable time becomes a challenging task. For such dense matrices, the cost of a matrix-vector product scales quadratically with the dimensionality if no customized methods are applied. Techniques dealing with fast
approximations of such kernel operations typically deteriorate in their performance if the feature space is high-dimensional. In this thesis, we realize evaluations with the kernel matrix via Fourier-accelerated approximations supported by rigorous error analysis. This matrix-free approach leverages the computational efficiency of the non-equispaced fast Fourier transform (NFFT), achieving nearly linear complexity for fixed accuracy. To deal with high-dimensional data sets, we introduce an additive kernel structure based on a feature grouping, decomposing the feature space into multiple sub-kernels that capture lower-order feature interactions only. This additive scheme enables the use of the proposed NFFT approach to maximize efficiency while, in theory, providing the potential to improve accuracy for many real-world data sets. We show that this procedure is also well suited to allow the approximation of the matrix that arises when the kernel is differentiated with respect to the kernel hyperparameters, a problem often found in the training phase of methods such as Gaussian processes. It significantly accelerates multiplications with the kernel matrices and derivative kernel
matrices and reduces memory cost by eliminating the need for costly Hadamard products of the Euclidean distance matrix and the kernel matrix arising from the differentiation. In addition, we use a preconditioning strategy based on low-rank approximations of the sub-kernels in this additive scheme, further speeding up the training phase and enhancing the overall efficiency and effectiveness of the resulting learning model. We analyze the performance of the additive kernel scheme with Fourier-accelerated kernel operations on kernel ridge regression, support vector machine, and Gaussian process regression models on several large-scale data sets
Multimodal Classification of Epileptic Seizures based on Systematic Features Extraction from Brain and Motoric Signals
No full textEpileptic seizures result from abnormal brain activity and involve both electrical and biomechanical signals. Accurate seizure classification is essential for clinical decision-making, yet conventional diagnostic methods, including self-reports and video monitoring, are limited in detecting seizure types. To overcome these limitations, this study investigates a multimodal approach combining electroencephalography (EEG), surface electromyography (sEMG), and inertial measurement unit (IMU) sensors. A synchronized compact wireless system was developed to capture the modalities, ensuring precise recording and analysis. A systematic signal processing pipeline was applied, including artifact removal, feature extraction, selection, evaluation, and machine learning-based classification. First, each modality was tested individually to assess its potential in seizure classification. The results revealed that a single modality was insufficient, with a maximum accuracy of 94%, highlighting the challenge of seizure similarity. To further explore multimodal classification, validation was conducted in a hospital setting. The results demonstrate that using independent component analysis (ICA) for preprocessing, feature selection techniques based on radar plots, distance metrics, and Big O notation, combined with the XGBoost classifier, led to a classification accuracy of 99%. These findings confirm that EEG, sEMG, and IMU complement each other, significantly enhancing seizure classification.:1 General introduction
2 Theoretical background on epilepsy and seizures classification
3 State of art of epileptic seizure detection and classification
4 Signal acquisition and feature engineering
5 Machine learning models for epileptic seizure classification
6 Epilepsy classification based on multi-modal measurement signals
7 General conclusion and perspective
Bifunctional ligands for copper-catalyzed hydrogenations – from asymmetric catalysis to proximity effects
No full textThis thesis discusses the development of chiral N-heterocyclic carbene (NHC)-guanidine bifunctional complexes for asymmetric hydrogenation of carbonyl compounds using dihydrogen (H2) as the terminal reducing reagent. Furthermore, the 2-iminopyridine-based copper(I)/NHC bifunctional complexes was developed as a major part of this work, which enabled copper(I)-catalyzed hydrogenation chemistry to be performed for the first time under low H2 pressure (1–2 bar), reaching balloon pressure. The first section of the thesis focuses on the synthetic development of several chiral NHC-guanidine ligand precursors, where chirality is embedded either in the linker unit or in the guanidine moiety. These ligand precursors facilitated the copper(I)-catalyzed asymmetric 1,2-reduction of ketones, with stereoinformation transfer from the ligand precursors to the substrate via H-bonding. The final section of the thesis discusses the development of 2-iminopyridine-based copper(I)/NHC bifunctional complexes. The presence of the basic 2-iminopyridine subunit allowed, for the first time, the copper(I)-catalyzed semihydrogenation of alkynes, 1,4-reduction of enolates/enamides, and 1,2-reduction of aldehydes/ketones under very low H2 pressure (1–2 bar), reaching balloon pressure. An unprecedented substrate scope in copper(I)-catalyzed hydrogenations was achieved using the 2-iminopyridine-based copper(I)/NHC bifunctional complex. Additionally, late-stage functionalization and deuterium labeling of several drug molecules were performed under mild reaction conditions. Mechanistic studies indicate that the bifunctional catalyst operates via an iminopyridine-mediated proximity effect, resulting in the coordination of an alcohol as a proton source on the copper(I) complex, thereby facilitating the overall reactions through a rapid protodecupration step
The 5th Advanced Manufacturing Student Conference (AMSC25) Chemnitz, Germany 27–29 January 2025
No full textThe 5th Advanced Manufacturing Student Conference (AMSC25), held in Chemnitz from 27 to 29 January 2025, continues the series of educational events designed to support students in learning and applying research methods in the field of advanced manufacturing. Organized by Chemnitz University of Technology and the Fraunhofer Institute for Machine Tools and Forming Technology, the conference offers participants the opportunity to write, review, and present academic papers in a guided setting.
This year’s edition focused on the intersection of advanced manufacturing and sports technology. The 80 student-authored review papers cover topics such as additive manufacturing for sports equipment, wearable technologies, sustainable production methods, digital twins, and data-driven design approaches. Contributions also address areas such as biomimicry in material development, IoT applications, and automation in sports facility construction. All submissions underwent a two-stage review process to ensure a consistent academic standard within the framework of the educational format. Given the growing availability of generative AI tools such as ChatGPT, the potential influence of such technologies on the writing process cannot be entirely excluded.
Overall, the AMSC25 proceedings provide a snapshot of current topics at the interface of manufacturing and sports while primarily serving as a platform for students to gain experience in academic research and scientific communication.:-Advanced Manufacturing for Bicycles
Effectiveness of Bio-Inspired Bicycle Helmets in Reducing Cyclist Head Injuries Using Honeycomb Structures - A Review
Review of Bio-Inspired Additive Manufacturing for Bicycle Helmets
Nacre-Inspired Composites for Producing Cycling Helmets
3D Printing and Material Science: Revolutionising Bicycle Helmets for Enhancing Safety and Performance
Mountain Bike Frame Design: Topology Optimisation, Additive Manufacturing, and Performance Analysis Using FEA
-Additive Manufacturing in Sports Equipment
Influence of Additive Manufacturing on Bicycle Development and Sustainability
A Comprehensive Evaluation of Bio-Inspired Disc Brakes for Performance and Safety
Additive Manufacturing for Sports Equipment Customization: Performance and Personalization Enhancement
-Wearable Technology and Fitness Trackers
Textile- Integrated Wearable Technology for Sport and Health Monitoring
Advanced Manufacturing for Wearable Devices in Climbing: Performance and Safety Applications
Advanced Manufacturing of Wearable Feedback Systems: Innovations and Applications in Sports Training Technology
IoT-Enabled Wearables for Anterior Cruciate Ligament Injury Prevention and Rehabilitation
Flexible Sensors in Wearable Sports Gear for Performance Monitoring and Safety of Athletes
Manufacturing of Sensor Integrated Sports Footwear
-Sustainability in Sports Manufacturing
Greener Miles: A Review of Eco-Friendly Innovations in Running Footwear Manufacturing
The Role of Bioplastics in Sustainable Sporting Goods Manufacturing
Practical Applications of Brick-and-Mortar Structures in Sports Gear: Materials, Methods, and Use Cases
-Additive Manufacturing for Custom Sports Equipment
Customizing Lightweight Sports Equipment Using 3D Printing for Enhanced Performance
Advancing Ergonomic Design and Performance in Sports Equipment through Additive Manufacturing
3D Printing as an ESG-Compliant Method for producing Custom Insoles
Additive Manufacturing in Sports Shoe Soles
Digital Twin Technology in Designing and Manufacturing of Running Shoes
-IoT and Digital Twin Applications in Sports
IoT-Driven Advancements in Sports Equipment Manufacturing: A Role of IoT in Cycling Technology
IoT in Smart Soccer Stadiums: Optimizing Operation and Audience Experience
Formula 1 Race Car Simulator and Driver Training System using Digital Twin Technology
Digital Twins and Virtual Prototyping in Formula One Vehicles
Integrating IoT and Sensor Technology for Precise Training in Cricket Bat Swing Dynamics
-High-Performance Textiles for Sports
Development of Hybrid Sports Textiles Using 3D Printing and Composite Layering for Enhanced Safety and Performance
Antiperspirant Sportswear: Additive Manufacturing
Nano Engineered Sports Textile for Enhanced Heat Dissipation and Comfort in Marathon Running
Enhancing Sustainable Advances of Moisture-Wicking Sports Fabrics and Environmental Responsibility
-Protective Gear for Impact Sports
Printing Technology for Customized Mouthguards in Impact Sports - A Review
Sustainable Helmet Manufacturing: Circular Economy Strategies and Life Cycle Assessment
The Role of 3D-Printed Auxetic Materials in Sports Helmets
Advancing Protective Sports Gear Through 3D Printing
-Biomimicry and Advanced Materials in Sports Technology
Swimming Wear Enhancement by Bio-Mimicry
Shark Skin-Inspired Riblet Technology for Enhanced Hydrodynamics in Competitive Swimming
Advancements in 3D-Printed Frames for Tennis Rackets a Review
Impact of Automation in Camel Racing: The Purview of Physical and Mental Trauma
Customising Surfboard Fins with Additive Manufacturing: Enhancing Hydrodynamic and Mechanical Performance
-Advanced Manufacturing for Soccer and Football
Integration of Building Information Modelling (BIM) in Construction of Football Facility
Smart Technologies for Monitoring Progress and Enhancing Athlete Training in Football: A Comprehensive Review
Advancements in 3D-Printing of Football Shin Guards with Materials and Innovations
-Innovations in Formula One Racing Technology
Additive Manufacturing in Formula 1 Racing Sport: Processes and Applications
3D Printing and Sensor Miniaturization in Wearable Sports Equipment Enhancing Performance and Safety
Advancing Circular Economy in End-of-Life Tyres Recycling and Racing Car Tyres Manufacturing
Feasibility of 3D-Printed Helmets: Meeting Safety Standards and Practical Applications
The Role of Advanced Manufacturing in Enhancing Performance and Usability of Fitness Trackers for Athletes
-Enhancing Equipment for Para-Athletes
Customizing Wheelchair Racing Gloves for Para-Athletes: Advancements in Material Selection and 3D Printing Technology
Evaluating Durability and Performance Outcomes of 3D-Printed Prosthetics for Paralympic Athletes
Developments in Lower-Limb Prosthetic Sockets for Disarticulated Athletes through Additive Manufacturing
Optimizing Wheelchair Sports Equipment through Biomechanical Analysis and Advanced Data Integration
Biocompatibility and Corrosion Behaviour of Magnesium/Hydroxyapatite Biocomposites for Sports Medicine Applications
-Advanced Wearables and IoT Applications in Sports
Transforming Sports, Fitness, Wellness and Opportunities with Internet of Things
IoT in Sports Manufacturing: Advancing Technology and Performance
Advancements in Smart Insole Technology: Manufacturing, Applications, and Impact on Athletic Performance
Enhancement of Automation and Robotics in Bowling Alley for better Operational Efficiency and Consumer Experience
3D Printed Triboelectric Nano-generator Sensors for Athletic Big Data Analytics in Racket Sports
Detection and Trajectory Prediction of the Shuttlecock in Automatic Badminton Playing Robots
-Sustainable and Advanced Manufacturing Techniques
3D Printing for Customized Running Shoes: Manufacturing Methods and Performance Advancements
A Systematic Review on the Utilization of 3d-Printing for Developing Efficient Helmets in Sports
Investigating the Impact of Axial Force in Bone Drilling to Enhance Recovery in Sports Injury Surgerie