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 …
Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
social sensing, and health sensing, have tremendously improved our capability to observe …
Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports
Many injuries in sports are caused by overuse. These injuries are a major cause for reduced
performance of professional and non-professional beach volleyball players. Monitoring of …
performance of professional and non-professional beach volleyball players. Monitoring of …
Activity recognition for quality assessment of batting shots in cricket using a hierarchical representation
Quality assessment in cricket is a complex task that is performed by understanding the
combination of individual activities a player is able to perform and by assessing how well …
combination of individual activities a player is able to perform and by assessing how well …
[HTML][HTML] Classification of alpine skiing styles using GNSS and inertial measurement units
In alpine skiing, four commonly used turning styles are snowplow, snowplow-steering,
drifting and carving. They differ significantly in speed, directional control and difficulty to …
drifting and carving. They differ significantly in speed, directional control and difficulty to …
[HTML][HTML] IMU airtime detection in snowboard halfpipe: U-Net deep learning approach outperforms traditional threshold algorithms
Airtime is crucial for high-rotation tricks in snowboard halfpipe performance, significantly
impacting trick difficulty, the primary judging criterion. This study aims to enhance the …
impacting trick difficulty, the primary judging criterion. This study aims to enhance the …
Sensor data required for automatic recognition of athletic tasks using deep neural networks
Movement screens are used to assess the overall movement quality of an athlete. However,
these rely on visual observation of a series of movements and subjective scoring. Data …
these rely on visual observation of a series of movements and subjective scoring. Data …
Multi-sensor fusion based optimized deep convolutional neural network for boxing punch activity recognition
Recent advancements in deep learning have significantly enhanced the recognition of
player activities in sports by enabling automatic feature extraction. In our proposed work, we …
player activities in sports by enabling automatic feature extraction. In our proposed work, we …
The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning
The evaluation of tricks executions in skateboarding is commonly carried out subjectively.
The panels of judges rely on their prior experience in classifying the effectiveness of tricks …
The panels of judges rely on their prior experience in classifying the effectiveness of tricks …
Classification and visualization of skateboard tricks using wearable sensors
The application of wearables and customized signal processing methods offers new
opportunities for motion analysis and visualization in skateboarding. In this work, we …
opportunities for motion analysis and visualization in skateboarding. In this work, we …