& 148 APPENDICES SUMMARY As a human being, whether in daily life or elite sports, it is vital to have the ability to perform physically. To maintain or improve our physical performance, humans must perform physical activity regularly or extensively. The effect of physical activity depends on various conditions, such as the amount of physical activity, the individual’s physical capability, and the individual’s physical capacity. Physical activity is important for ordinary people to stay healthy. To sustain health or improve the ability to perform physically, it is not necessary to exercise fanatically; daily physical activities such as cycling, walking, household or gardening also contribute. However, insufficient physical activity can lead to a loss of physical capacity, illness, and a lower life expectancy. In sports, the term workload denotes the combination of frequency, duration, and (perceived) intensity of physical activity an athlete undertakes during training. While having natural talent contributes to success in sports, becoming a top athlete requires many years of training. During these years of training, a delicate balance must be maintained between capacity, workload and recovery. An imbalance between capacity, workload and recovery can result in underload or overload, leading to performance degradation or injuries. In recent years, the ability to monitor workload and human physical activity has increased tremendously due to the emergence of wearables and the data wearables collect. In addition, the technological advances in monitoring systems in elite sports, such as football, basketball and hockey, have dramatically increased the ability to monitor individual athletes. Collecting data using the technological advancements mentioned above could enable machine learning and statistics gaining insights and predicting physical activity and physical performance. Intervention in physical activity is necessary when adverse consequences related to physical activity or physical performance are expected. The goal of intervention is twofold: to maintain or improve physical activity and physical performance while preventing physical performance decline or injury. Although a lot of data is available, extracting useful personal insights and predictions can be challenging. Data analytics can help extract insights and predictions from collected data. Data analytics involves examining, transforming, and interpreting data to gain meaningful insights, and predictions. Data analytics implies the use of various statistical and machine learning techniques. However, data analytics is not widely
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