Using Video-based Technology in Powerlifting Sport to Support Referees' Decision Making

Michalopoulos, Nick; Katsini, Christina; Raptis, George

doi:10.1145/3290607.3312991

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…In practice, the inherent ambiguity in denition of correct form could be modelled for example with deep reinforcement learning (DRL), which have been used medical modeling problems when the exact ground truth is unknown and/or hard to estimate [576,640,855]. The developed video-based automatic kinematic assessment could be also used by powerlifting organizations such as IPF to quantify squat depth in real-time, and possibly automating squat depth assessment and reduce subjective judging bias from powerliting meets (competitions in powerlifting jargon) [108,546,596].…”

Section: Deep Learning Enabled Exercise and Strength Trainingmentioning

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: Deep Learning Enabled Exercise and Strength Trainingmentioning

confidence: 99%

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

Teikari¹,

Pietrusz²

2021

Preprint

View full text Add to dashboard Cite

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Design Woodball Line Detection and Monitoring System: A Preliminary Study

Chandrasegaran

Mustafa

Jamlos

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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This paper entails the incorporation of electronics in the sports of woodball. The decisions made by the referees in most sports nowadays are with the use of electronic technologies to assist them. For instance, the goal-line technology in football and the electronic line judge in tennis is some of the recent advances in electronic technologies that have revolutionized sports as we know it. The woodball line detection and monitoring system serves a similar purpose where it assists the referee in making decisions and modernize the sports of woodball. The current woodball sports depend entirely on referees to give out decisions. The line detection technology helps to notify the referee if the woodball is Out of Bounds (OB) whereas the monitoring system notifies the player, referee and the audience whether the gating is successful or not. However, manual assistance from the referee is still needed for starting the play after a successful gating because the player is not allowed to touch the woodball during the entire game.

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Using Video-based Technology in Powerlifting Sport to Support Referees' Decision Making

Cited by 2 publications

References 9 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

Design Woodball Line Detection and Monitoring System: A Preliminary Study

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