Fitmirror

Besserer, Daniel; Bäurle, Johannes; Nikic, Alexander; Honold, Frank; Schüssel, Felix; Weber, Michael

doi:10.1145/3011263.3011265

Cited by 32 publications

(5 citation statements)

References 14 publications

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“…With the emergence of so-called smart mirror systems' [57,74,335,551,611], it might be possible to overlay all the relevant feedback on the large-scale mirrors typically found in gym and dance studio environments, that most of the athletes probably will nd the most intuitive way of receiving visual feedback as they are accustomed already monitoring their execution from mirrors.…”

Section: B Real-time Feedback Methodsmentioning

confidence: 99%

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Teikari¹,

Pietrusz²

2021

Preprint

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In strength training, personalised strength training (autoregulation) approaches have been used to individualise exercise programs with monitoring an for dynamic adjustment based on their responses to training. While this transition from tradition-based training to evidence-based training framework has been an improvement in training practices, we argue that the future of strength training will also incorporate deep learning models powered by data. We refer to this data-driven framework as precision strength training inspired by the similar modeling frameworks used in precision medicine. In contrast to current personalised training in which the acquired athlete data is often subject to human expert decision-making, we are anticipating the rise of human-in-the-loop systems with an augmented coach who will be doing decisions collaboratively with the machine. Similar to other precision frameworks, such as precision health, we envision such a future to take decades to be realised and we focus here on practical short-term targets on a way to long-term realisation. In this chapter, we will review the measurement technology needed for continuous data acquisition from an individual during training/physical activity, how to acquire these datasets for the development of such systems and, how a proof-of-concept system could be developed for powerlifting training with applicability to general strength and conditioning (S&C) and physical rehabilitation purposes. Additionally, we will evaluate how the user experience (UX) of the system feedback and visualisation could be designed.

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Section: B Real-time Feedback Methodsmentioning

confidence: 99%

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Teikari¹,

Pietrusz²

2021

Preprint

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“…The importance of incorporating regular physical activity into one's lifestyle is supported by a wealth of scientific evidence. Here are some key reasons highlighting the importance of fitness and exercise: Physical Health Mental Health, Disease Prevention Improved Sleep, Enhanced Cognitive Function, Boosted Immune System, and Social Wellbeing [2] GymTech Wearable System This substitute uses a wearable gadget to monitor motions made by the body and give haptic feedback to assist users in performing workouts [3].…”

Section: Literature Surveymentioning

confidence: 99%

Smart fitness trainer using an advanced interdisciplinary approach

Sundari M,

Sreeman Reddy Puchakayala,

Naga Datta Samayamantry

et al. 2024

E3S Web of Conf.

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The Smart Fitness Trainer represents a pioneering endeavor at the intersection of diverse disciplines, amalgamating computer vision and Internet of Things (IoT) technologies. Its primary objective is to redefine the fitness landscape by introducing real-time exercise form analysis and assistance. Through the fusion of biomechanics, human-computer interaction, and data analytics, this innovative system provides instantaneous visual feedback via a mirror interface, thereby augmenting safety and efficacy during workout sessions. Embracing sophisticated interdisciplinary methodologies, the Smart Fitness Mirror fosters healthier lifestyles and delivers tailored training experiences, heralding a transformative era in fitness technology. This initiative underscores the transformative potential of collaborative multidisciplinary efforts in reshaping the domain of fitness and well-being.

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“…Consumers can view the product in different angles which helps them make a purchase decision (Saettler, nd). Smart mirrors have found their application in other fields such as health care (Besserer et al, 2016) and clothing (Yang & Yu, 2011).…”

Section: B) Ar In Retail Storesmentioning

confidence: 99%

Factors Influencing Consumer Loyalty in Augmented Reality Beauty Apps: Sephora Virtual Artist Empirical Study

Lele

2023

Preprint

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<p>With increase in usage of online mobile shopping apps, app developers and marketers are seeking innovative options to provide consumers with unique shopping experiences. In recent times, Virtual try-on feature in augmented reality apps have gained popularity. This study extends the electronic service quality model (ES-QUAL) with Hedonic Motivation and Perceived Value and seeks to explain the factors influencing consumer loyalty intentions in AR beauty apps. Sephora is a leading brand in the cosmetic industry and Virtual Artist is its augmented reality try-on feature. An online survey was conducted with 251 university students. PLS-SEM analysis results suggest that Hedonic Motivation and Efficiency significantly impact loyalty intentions, while Perceived value, Perceived Privacy Risks, System Availability and Fulfilment were not significant. This study contributes to the existing literature in the domain of consumers loyalty intentions and AR apps. Retail practitioners can use the results to boost consumer loyalty and predict purchase intention. </p>

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Fitmirror

Cited by 32 publications

References 14 publications

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Smart fitness trainer using an advanced interdisciplinary approach

Factors Influencing Consumer Loyalty in Augmented Reality Beauty Apps: Sephora Virtual Artist Empirical Study

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