A Comparative Study of Deep Learning Algorithms for Detecting Food Intake
Author:
Affiliation:
1. University of Alabama,Tuscaloosa,AL,USA,35401
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871278.pdf?arnumber=9871278
Reference18 articles.
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2. Role of deep neural features vs hand crafted features for hand written digit recognition;bodapati;Int J Recent Technol EngIJRTE,2019
3. Deep Learning–Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors
4. Food Intake Detection from Inertial Sensors Using LSTM Networks
5. A deep learning based wearable system for food and drink intake recognition
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