Advanced search
Publication Cover
Journal of Sports Sciences Volume 37, 2019 - Issue 11
Submit an article Journal homepage
1,024
Views
30
CrossRef citations to date
0
Altmetric
Sports Performance

Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning

Joseph W. McGrathSport Performance Research Institute New Zealand, AUT University, Auckland, New Zealand;Manukau Institute of Technology, School of Sport, Auckland, New ZealandCorrespondence[email protected]
View further author information
,
Jonathon NevilleSport Performance Research Institute New Zealand, AUT University, Auckland, New Zealand;School of Engineering, Computer and Mathematical Sciences, AUT University, Auckland, New ZealandView further author information
,
Tom StewartSport Performance Research Institute New Zealand, AUT University, Auckland, New ZealandView further author information
&
John CroninSport Performance Research Institute New Zealand, AUT University, Auckland, New ZealandView further author information
Pages 1220-1226 | Accepted 17 Nov 2018, Published online: 13 Dec 2018

Citations (30)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (8)

Joseph W. McGrath, Jonathon Neville, Tom Stewart, Matt Lamb, Peter Alway, Mark King & John Cronin. (2022) The relationship between bowling intensity and ground reaction force in cricket pace bowlers. Journal of Sports Sciences 40:14, pages 1602-1608.
Read now
Corey Perrett, Melanie Bussey & Peter Lamb. (2022) External workload intensity in cricket fast bowlers across maximal and submaximal intensities: Modifying PlayerLoad and IMU location. Journal of Sports Sciences 40:5, pages 527-533.
Read now
Félix Croteau, Francois Thénault, Stefanie Blain-Moraes, David J Pearsall, David Paradelo & Shawn M Robbins. (2022) Automatic detection of passing and shooting in water polo using machine learning: a feasibility study. Sports Biomechanics 0:0, pages 1-15.
Read now
Joseph W. McGrath, Jonathon Neville, Tom Stewart, Hayley Clinning, Bernd Thomas & John Cronin. (2022) Quantifying cricket fast bowling volume, speed and perceived intensity zone using an Apple Watch and machine learning. Journal of Sports Sciences 40:3, pages 323-330.
Read now
Matthew T.O. Worsey, Rebecca Pahl, Hugo G. Espinosa, Jonathan B. Shepherd & David V. Thiel. (2021) Is machine learning and automatic classification of swimming data what unlocks the power of inertial measurement units in swimming?. Journal of Sports Sciences 39:18, pages 2095-2114.
Read now
Joseph McGrath, Jonathon Neville, Tom Stewart, Hayley Clinning & John Cronin. (2021) Can an inertial measurement unit (IMU) in combination with machine learning measure fast bowling speed and perceived intensity in cricket?. Journal of Sports Sciences 39:12, pages 1402-1409.
Read now
Hannah K Jowitt, Jérôme Durussel, Raphael Brandon & Mark King. (2020) Auto detecting deliveries in elite cricket fast bowlers using microsensors and machine learning. Journal of Sports Sciences 38:7, pages 767-772.
Read now
Joseph W. McGrath, Jonathon Neville, Tom Stewart, Matt Lamb, Peter Alway, Mark King & John Cronin. Can an inertial measurement unit, combined with machine learning, accurately measure ground reaction forces in cricket fast bowling?. Sports Biomechanics 0:0, pages 1-13.
Read now

Articles from other publishers (22)

G. Chandu & P. Nirmala. Efficient approach in cricket team selection methodology using machine learning-based naive bayes algorithm and comparing with random forest algorithm. Efficient approach in cricket team selection methodology using machine learning-based naive bayes algorithm and comparing with random forest algorithm.
Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Aina Munirah Ab Rasid & Mohamad Razali AbdullahRabiu Muazu Musa, Anwar P. P. Abdul Majeed, Aina Munirah Ab Rasid & Mohamad Razali Abdullah. 2024. Data Mining and Machine Learning in Sports. Data Mining and Machine Learning in Sports 1 11 .
Saravanan Manoharan, John Warburton, Ravi Hegde, Ranganathan Srinivasan & Babji Srinivasan. (2023) Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors. Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors.
Christina Kranzinger, Severin Bernhart, Wolfgang Kremser, Verena Venek, Harald Rieser, Sebastian Mayr & Stefan Kranzinger. (2023) Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping Review. Applied Sciences 13:15, pages 8684.
Crossref
Indika Wickramasinghe. (2022) Applications of Machine Learning in cricket: A systematic review. Machine Learning with Applications 10, pages 100435.
Crossref
Manju Rana & Vikas Mittal. (2022) Analysis of Front Leg Kinematics of Cricket Bowler Using Wearable Sensors and Machine Learning. IEEE Sensors Journal 22:22, pages 22053-22061.
Crossref
Shuai Leng & Mingjiao Shao. (2022) A Study on the Effect of the Club Model on the Effectiveness of College Volleyball Teaching Based on a Random Matrix Model. Mathematical Problems in Engineering 2022, pages 1-12.
Crossref
N Nithya & G Nallavan. (2021) Inertial measurement unit–based cricket stroke improviser using polynomial kernel support vector machines. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 236:9, pages 4610-4620.
Crossref
Tevin Moodley, Dustin van der Haar & Habib Noorbhai. (2022) Automated recognition of the cricket batting backlift technique in video footage using deep learning architectures. Scientific Reports 12:1.
Crossref
Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Mohamad Razali Abdullah, Garry Kuan & Mohd Azraai Mohd RazmanRabiu Muazu Musa, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah, Garry Kuan & Mohd Azraai Mohd Razman. 2022. Data Mining and Machine Learning in High-Performance Sport. Data Mining and Machine Learning in High-Performance Sport 1 11 .
C. R. Balaji, R. G. Pranav Raj, V. Harish & S. K. Indumathi. 2022. Technology Innovation in Mechanical Engineering. Technology Innovation in Mechanical Engineering 483 492 .
Matthew Constable, Daniel Wundersitz, Rodrigo Bini & Michael Kingsley. (2021) Quantification of the demands of cricket bowling and the relationship to injury risk: a systematic review. BMC Sports Science, Medicine and Rehabilitation 13:1.
Crossref
Matthew T. O. Worsey, Hugo G. Espinosa, Jonathan B. Shepherd & David V. Thiel. (2021) Automatic classification of running surfaces using an ankle-worn inertial sensor. Sports Engineering 24:1.
Crossref
Joseph McGrath, Jonathon Neville, Tom Stewart & John Cronin. (2020) Upper body activity classification using an inertial measurement unit in court and field-based sports: A systematic review. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 235:2, pages 83-95.
Crossref
Roland van den Tillaar, Shruti Bhandurge & Tom Stewart. (2021) Can Machine Learning with IMUs Be Used to Detect Different Throws and Estimate Ball Velocity in Team Handball?. Sensors 21:7, pages 2288.
Crossref
N. Nithya & G. Nallavan. (2021) Role of Wearables in Sports based on Activity recognition and biometric parameters: A Survey. Role of Wearables in Sports based on Activity recognition and biometric parameters: A Survey.
Tanzila Saba, Amjad Rehman, Nor Shahida Mohd Jamail, Souad Larabi Marie-Sainte, Mudassar Raza & Muhammad Sharif. (2021) Categorizing the Students’ Activities for Automated Exam Proctoring Using Proposed Deep L2-GraftNet CNN Network and ASO Based Feature Selection Approach. IEEE Access 9, pages 47639-47656.
Crossref
Matthew T. O. Worsey, Hugo G. Espinosa, Jonathan B. Shepherd & David V. Thiel. (2020) An Evaluation of Wearable Inertial Sensor Configuration and Supervised Machine Learning Models for Automatic Punch Classification in Boxing. IoT 1:2, pages 360-381.
Crossref
Billy Senington, Raymond Y Lee & Jonathan M Williams. (2020) Biomechanical risk factors of lower back pain in cricket fast bowlers using inertial measurement units: a prospective and retrospective investigation. BMJ Open Sport & Exercise Medicine 6:1, pages e000818.
Crossref
Musa Oytun, Cevdet Tinazci, Boran Sekeroglu, Caner Acikada & Hasan Ulas Yavuz. (2020) Performance Prediction and Evaluation in Female Handball Players Using Machine Learning Models. IEEE Access 8, pages 116321-116335.
Crossref
Muhammad Ar Rahim Ibrahim, Muhammad Amirul Abdullah, Muhammad Nur Aiman Shapiee, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Muhammad Aizzat Zakaria, Noor Azuan Abu Osman & Anwar P. P. Abdul Majeed. 2020. Enhancing Health and Sports Performance by Design. Enhancing Health and Sports Performance by Design 341 347 .
Muhammad Amirul Abdullah, Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Bin Shapiee, Mohd Azraai Mohd Razman, Rabiu Muazu Musa & Anwar P. P. Abdul Majeed. 2020. Intelligent Manufacturing and Mechatronics. Intelligent Manufacturing and Mechatronics 67 74 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.