Juan is a Masters student in Electrical and Computer Engineering at UCLA. He is most interested in deep learning applications, and also enjoys working with machine learning. Juan trained and implemented the convolutional neural network featured in this project for activity recognition with classification accuracy of 99.87%. He also surveyed, preprocessed and worked with the datasets used in the project. Juan also developed the Android app that implements the project, and implemented the Raspberry Pi Zero W in the project system. While waiting for models to train, Juan likes to create and discover music, play fighting games like Street Fighter 3: 3rd Strike, learn languages, and to exercise.
Jeannie is an Electrical Engineering undergraduate at UCLA. She designed the signal processing of the photoplethysmography signal (PPG) measured with the Hexiwear and implemented the code to calculate heart rate variability. She handled most of the coding of the Hexiwear. When she’s not debugging the Hexiwear, she enjoys trying interesting food from Trader Joe’s and occasionally walking in parks.
LoFi stands for Logical Fitness. We refer to using a logical system to recommend music to improve physical and mental fitness. Though at its core, the project name was inspired by those lo-fi hip-hop playlists that have popped up across YouTube in the last few years, often making up various “study/chill/sleep” playlists. So we wanted to fit in the tongue-in-cheek reference too. (: