Tiny Eats: Eating Detection on a Microcontroller

• Published in: arXiv.org
• Main Authors: Nyamukuru, Maria T, Odame, Kofi M
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 14.03.2020
• Subjects: Artificial neural networks; Eating; Microcontrollers; Neural networks; Power management; Wearable technology

There is a growing interest in low power highly efficient wearable devices for automatic dietary monitoring (ADM) [1]. The success of deep neural networks in audio event classification problems makes them ideal for this task. Deep neural networks are, however, not only computationally intensive and...