## 4 Discussion  
The development and validation of automated analysis systems for sports performance represents a significant advancement in training optimization. This study aimed to create and implement an algorithm-based system for real-time analysis of canoe training phases, specifically focusing on the detection and characterization of initial acceleration, steady-state cruising, and final sprint phases. Our findings demonstrated the algorithm's capability to effectively identify these phases and provide quantitative metrics for performance assessment, offering coaches and athletes objective data for training optimization, which aligns with recent technological trends in water sports monitoring [12; 15]. The analysis of the acceleration phase revealed interesting patterns in performance development. Athletes achieved stabilized speeds between 14.62 and 14.98 km/h, which are higher values than previously reported for elite kayakers [8; 10]. The time required to reach a stabilized speed varied considerably between series (5-10 s), suggesting significant differences in acceleration strategies and fatigue effects across trials. This variability in acceleration profiles might be attributed to different technical approaches or physical capabilities, as suggested by recent biomechanical analyses [9; 11]. The importance of this initial phase has been highlighted in previous research, where proper technique during acceleration has been shown to significantly impact overall performance [3; 24]. The steady-state phase analysis provided particularly valuable insights into technical consistency. The velocity fluctuations observed between maximum and minimum speeds after stabilization (ranging from 7.41 km/h in Series 1 to 7.13 km/h in Series 3) indicate varying levels of velocity maintenance capability across trials. This finding aligns with research by [PERSON] et al. [25], who emphasized that successful performance in competitive canoeing relies heavily on the optimization of stroke parameters and efficiency metrics. The progressive decrease in both maximum and minimum speeds across series (from 18.58 to 17.30 km/h for maximum speeds and from 11.17 to 10.17 km/h for minimum speeds) suggests a systematic impact of fatigue on performance [24; 26]. The slope analysis during the acceleration phase revealed significant variations between series (from 2.58% in Series 1 to 0.74-0.84% in Series 2 and 3), introducing a novel metric for evaluating acceleration efficiency. This parameter, calculated through polynomial fitting, provides a quantitative characterization of acceleration patterns that complements traditional time-based metrics [16; 19]. The marked difference in slope values between the first and subsequent series suggests a substantial impact of fatigue on acceleration capability, potentially reflecting changes in technical execution and power output [27; 28]. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Series** & **1** & **2** & **3** \\ \hline Stabilized Speed (SS) (km/h) & 14.98 & 14.93 & 14.62 \\ Space until SS (m) & 13.49 & 31.39 & 31.70 \\ Real Space until SS (m) & 13.85 & 32.44 & 31.87 \\ Time until SS (s) & 5.00 & 9.00 & 10.00 \\ Slope until SS (\%) & 2.58 & 0.74 & 0.84 \\ Maximum Speed after SS (km/h) & 18.58 & 17.76 & 17.30 \\ Minimum Speed after SS (km/h) & 11.17 & 10.50 & 10.17 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Performance parameters across three series of canoe training analysis. Performance deterioration across series was particularly evident in the increasing space required to achieve a stabilized speed (from 13.49 m in Series 1 to over 31 m in Series 2 and 3). This degradation in performance aligns with previous research on fatigue effects in elite canoeists [29, 30]. The relationship between higher cruising speeds and poorer final sprint performance has also been documented in recent studies [8, 10], suggesting the need for specific training interventions focused on maintaining power output throughout the entire performance [6].