SWEETIE is invested in the development of prototypes in designing innovative products—our current project is building of intelligent fitness trackers, state-of-the-art equipment utilized by professional sports clubs like Barcelona. However, here we wish to build inexpensive versions of this technology that are accessible to even economically disadvantaged families.
To make this vision a reality, we need to manage to specifiy and create several key components while carefully managing cosst: a six-axis or nine-axis accelerometer, a gyro, and a magnetometer that can operate at 100Hz and meet advanced technical specifications. With the appropriate hardware in place, we can utilize the gathered data to establish and refine a Movement Algorithm Indicator. This process entails collecting, analyzing, and modeling key parameters such as total distance, high-speed runs (HSR), high-intensity distance, intensity level, current speed, maximum speed, acceleration, deceleration, current heart rate, maximum heart rate, average heart rate, and more.
To draw inspiration to guide this project, Maxwell spent time privately training his younger brother Morpheus during school closure. These three innocuous videos show his brother’s rapid progression.
Through this experience, Maxwell better gauged what to train to optimize his brother’s improvement in the physical aspect—particularly acceleration and heart rate.
With the help of highly experienced software designer Andrew Tian and graduate-level university students’ consultancy, this allowed u constructed comprehensive algorithms using Bi-RNN to record, interpret, and output these data using multimodal sensors.