Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance
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 …
detailed analysis. The implementation of automated detection and recognition of sport …
Recognition of sports exercises using inertial sensor technology
P Krutz, M Rehm, H Schlegel, M Dix - Applied Computer Science, 2023 - yadda.icm.edu.pl
Supervised learning as a sub-discipline of machine learning enables the recognition of
correlations between input variables (features) and associated outputs (classes) and the …
correlations between input variables (features) and associated outputs (classes) and the …
An Investigation of Pain Related Disability with Movement Quantity and Quality in Pre-Professional Dancers
D Hendry - 2021 - espace.curtin.edu.au
This thesis explored the relationship between dancers' movement quantity and quality with
pain outcomes. Machine learning models applied to wearable sensor data that were …
pain outcomes. Machine learning models applied to wearable sensor data that were …
[PDF][PDF] IMMU-based Orientation Determination in Sports Analytics: Kinematic Analysis and Performance Interpretation
BH Groh - 2021 - scholar.archive.org
Sports analytics research has had major impact on the development of innovative training
methods and the broadcast of sports events. Tasks that formerly required manual …
methods and the broadcast of sports events. Tasks that formerly required manual …
An Investigation into Kicking in Women's Australian Football
E Cust - 2020 - vuir.vu.edu.au
In Australian Rules football (AF), kick skill performance involvements, notably the drop punt,
are statistically strong contributors towards team match success. The start of a National …
are statistically strong contributors towards team match success. The start of a National …