AIMC Topic: Time and Motion Studies

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Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance.

Journal of sports sciences
Objective assessment of an athlete's performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual ...

Development of a Competitive Time-Resolved Fluoroimmunoassay for Paclitaxel.

Phytochemical analysis : PCA
INTRODUCTION: Paclitaxel (Tax) is a diterpene alkaloid isolated from Taxus species and has proved clinically effective in treating a number of malignancies. Current quantitative analytical methods for Tax such as high-performance liquid chromatograph...

Machine Learning in Rugby Union: Predicting and Identifying Key Performance Indicators for Professional Rugby Union Players in Match Play Based Workload.

European journal of sport science
Rugby union is an intermittent high-intensity contact sport requiring the analysis of various training and match metrics. Time-motion analysis and video analysis have enhanced the understanding of the interplay between these two factors. However, lim...

Virtual Enumerator's Training for Time and Motion Studies Using AI Scenarios.

Studies in health technology and informatics
This paper presents the implementation of a virtual training program for enumerators conducting Time and Motion Studies using the WOMBAT methodology, as part of a project assessing healthcare workflows before the adoption of an Electronic Health Reco...

Intensity control of robot-assisted gait training based on biometric data: Preliminary study.

Medicine
OBJECTIVE: This study is aimed to compare the effect of robot-assisted gait training when the intensity is controlled using patients' biometric data to when controlled by therapist's subjective judgment.

Seasonal Linear Predictivity in National Football Championships.

Big data
Predicting the results of sport matches and competitions is a growing research field, benefiting from the increasing amount of available data and novel data analytics techniques. Excellent forecasts can be achieved by advanced statistical and machine...