2021 TSMA

63 the threshold setting of foot angles, the user can get the reminder of fatigue when internal rotation is overloaded so as to prevent from the happening of sports injuries. Conclusion Wearable devices together with ar tificial intelligence (AI) can provide the user all types of information measured by sensors and determined by algorithm which could be applied to health practical situation. Nowadays, the relevant applications are in the process. The distance diagnosis and training monitoring will gradually become normal. Even though there are different developments and applications in various industries and academic fields, in the development of wearable devices, they share the same minds; that is, the data was once collected in the expensive laboratory in the past and now we can get the data via wearable devices and scientifically apply these data in many scopes or ranges. In other words, the concept is that instruments walk out of the laboratory and science walks into the ordinary life. At last, though the data measured by sensors can be used through AI to help predictions or calculate important parameters, what parameters shall we measure with these tools and technology? What do these calculated parameters mean? What to do with these parameters afterwards? All these questions need professionals to answer. In other phrases, what information is valuable to patients or doctors? All these need to construct on professionalism. On different targets, for example, diagnosis on movement modes, rehabilitation intensity evaluation or injury prevention, the needed information is completely diverse. The answer lies in professional knowledge and to be elaborated so as to extract the parameters with importance and worthiness of development. Then we can make further steps with the assistance of AI and to obtain the valuable information. Picture 4 NTNU’s research team on Innovative Sports Technology uses a gyro sensor during intense running to measure the internal rotation changes to prevent from sports injuries. Source: Shih, Y., Ho, C. S., & Shiang, T. Y. (2014). Measuring kinematic changes of the foot using a gyro sensor during intense running. Journal of Sports Sciences, 32(6), 550-556.