*Article* **A Systematic Review of Performance Analysis in Rowing Using Inertial Sensors**

### **Matthew TO Worsey, Hugo G Espinosa \*, Jonathan B Shepherd and David V Thiel**

School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia; matthew.worsey@griffithuni.edu.au (M.T.O.W.); j.shepherd@griffith.edu.au (J.B.S.); d.thiel@griffith.edu.au (D.V.T.)

**\*** Correspondence: h.espinosa@griffith.edu.au; Tel.: +61-7-3735-8432

Received: 22 October 2019; Accepted: 5 November 2019; Published: 7 November 2019

**Abstract:** Sporting organizations such as professional clubs and national sport institutions are constantly seeking novel training methodologies in an attempt to give their athletes a cutting edge. The advent of microelectromechanical systems (MEMS) has facilitated the integration of small, unobtrusive wearable inertial sensors into many coaches' training regimes. There is an emerging trend to use inertial sensors for performance monitoring in rowing; however, the use and selection of the sensor used has not been appropriately reviewed. Previous literature assessed the sampling frequency, position, and fixing of the sensor; however, properties such as the sensor operating ranges, data processing algorithms, and validation technology are left unevaluated. To address this gap, a systematic literature review on rowing performance monitoring using inertial-magnetic sensors was conducted. A total of 36 records were included for review, demonstrating that inertial measurements were predominantly used for measuring stroke quality and the sensors were used to instrument equipment rather than the athlete. The methodology for both selecting and implementing technology appeared ad hoc, with no guidelines for appropriate analysis of the results. This review summarizes a framework of best practice for selecting and implementing inertial sensor technology for monitoring rowing performance. It is envisaged that this review will act as a guide for future research into applying technology to rowing.

**Keywords:** rowing; technology; inertial sensor; accelerometer; performance; signal processing
