Prototype machine learning algorithms from wearable technology to detect tennis stroke and movement actions
T Perri, M Reid, A Murphy, K Howle, R Duffield - Sensors, 2022 - mdpi.com
This study evaluated the accuracy of tennis-specific stroke and movement event detection
algorithms from a cervically mounted wearable sensor containing a triaxial accelerometer …
algorithms from a cervically mounted wearable sensor containing a triaxial accelerometer …
Validating an algorithm from a trunk-mounted wearable sensor for detecting stroke events in tennis
T Perri, M Reid, A Murphy, K Howle… - Journal of Sports …, 2022 - Taylor & Francis
This study analysed the accuracy of a prototype algorithm for tennis stroke detection from
wearable technology. Strokes from junior-elite tennis players over 10 matches were …
wearable technology. Strokes from junior-elite tennis players over 10 matches were …
Multi-sensor classification of tennis strokes
D Connaghan, P Kelly, NE O'Connor… - SENSORS, 2011 …, 2011 - ieeexplore.ieee.org
In this work, we investigate tennis stroke recognition using a single inertial measuring unit
attached to a player's forearm during a competitive match. This paper evaluates the best …
attached to a player's forearm during a competitive match. This paper evaluates the best …
Sensor-based stroke detection and stroke type classification in table tennis
In this paper we present a sensor-based table tennis stroke detection and classification
system. We attached inertial sensors to table tennis rackets and collected data of 8 different …
system. We attached inertial sensors to table tennis rackets and collected data of 8 different …
Tennis stroke classification: comparing wrist and racket as imu sensor position
CJ Ebner, RD Findling - … of the 17th international conference on …, 2019 - dl.acm.org
Automatic tennis stroke recognition can help tennis players improve their training
experience. Previous work has used sensors positions on both wrist and tennis racket, of …
experience. Previous work has used sensors positions on both wrist and tennis racket, of …
Invisible experience to real-time assessment in elite tennis athlete training: Sport-specific movement classification based on wearable MEMS sensor data
This study examined the reliability of a tennis stroke classification and assessment platform
consisting of a single low-cost MEMS sensor in a wrist-worn wearable device, smartphone …
consisting of a single low-cost MEMS sensor in a wrist-worn wearable device, smartphone …
Comparative study of table tennis forehand strokes classification using deep learning and SVM
Object sensors are widely used for motion capture, particularly in sport motion analysis for
classification of strokes. In this paper, a comparative study was performed to examine the …
classification of strokes. In this paper, a comparative study was performed to examine the …
[HTML][HTML] Data acquired by a single object sensor for the detection and quality evaluation of table tennis forehand strokes
Shadow-play, is an assistance solution for Table Tennis training, develops novice players'
strokes and performing skills, and helps the players' brain to train in terms of the correct …
strokes and performing skills, and helps the players' brain to train in terms of the correct …
[HTML][HTML] Perspective on “in the wild” movement analysis using machine learning
Recent advances in wearable sensing and machine learning have created ample
opportunities for “in the wild” movement analysis in sports, since the combination of both …
opportunities for “in the wild” movement analysis in sports, since the combination of both …
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 …