The AT-AT consists of multiple modules. Every athlete has one main board, seven gyros and a heart rate/oxygen monitor. This module monitors the athlete during a run. Things like overpronation or slight imbalances can be communicated to a coach during a run in real-time. For short distances, a LoRa system can be used, for longer distances a LTE system is available. The GPS on the board can be used for timing purposes. At the finish, another main board is installed with a camera and detection loops to provide accurate finishing times.
The system can be used both during training and during competitions. This system will provide an amount of data usually only available in the lab in a slightly heavier package than a smartwatch.
The finishing camera will use an HDR Camera module with an integrated FPGA, to allow it to be configured to a high-speed detector. The lens of this module can also be changed to be more fitting for this application.
Machine learning and processing on the board can be used to detect the most prevalent injuries during a run, alerting the runner before the injury gets worse. The data is preprocessed externally, to be able to do only the detection on the Spresense board.
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