Machine learning innovates sports tracking

June 09, 2021 // By Jean-Pierre Joosting
Machine learning innovates sports tracking
Arrow Electronics and ROOQ have created sophisticated sports tracking technology using sensors, app and online portal based on machine learning.

Arrow Electronics and ROOQ have teamed up to create the ROOQ BOX, a sensor technology that enables boxers to monitor and review their performance using data that was previously only available under laboratory conditions. Further, the sports tracking technology is also transferrable to the fitness market and other related sports, as well as use in the industrial sector.

ROOQ BOX comprises a pair of sensors worn within a strap on each wrist. The sensors record the movements made during boxing activity. The data is then analysed in the accompanying ROOQ App and cloud using machine learning algorithms to provide a precise record of the session. Using this information, boxers and trainers can create a detailed picture of the training session including punch count, punch speeds, variability and punch force. The algorithm has been trained to identify eight different types of punches and to automatically categorize these while filtering out non-boxing specific motions.

The data delivered by the sensor technology, which was inaccessible to athletes until now, provides an invaluable tool to help boxers monitor and improve their performance. This information can be shared with their coaches. In developing the system, ROOQ has drawn on a wide range of experience from within its team including data, software, hardware and firmware specialists, sports scientists and mathematicians as well as boxers and coaches. This experience reaches to the highest level as ROOQ’s chief sports officer, Henry Maske, is an Olympic boxing champion (gold medal, Seoul 1988) and professional world champion (1993 to 1996).


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