Training Neural Networks for Sensors
Explore a tinyML Talks webcast featuring Vicki Moran and Will McDonald from Harvey Mudd College as they discuss training neural networks for sensors. Delve into the 2019-2020 Harvey Mudd College Clinic program, where a team of students collected data from a 6-axis accelerometer and trained neural networks to recognize gestures on a Syntiant NDP101 device. Learn about the project investigation, data collection process, and neural network performance achieved for three unique gestures. Discover insights on wrist-based gestures for smartwatch applications, data augmentation techniques, network architecture, and the effects of time shifting. Witness a watch-checking demonstration and understand the benefits of custom printed circuit boards in implementing low-power components for additional features.