Food Recognition System: A New Approach Based on Wavelet-LSTM
An automated system for analyzing daily dietary intake is essential for human well-being and healthcare. This work presents a novel wearable necklace embedded with a piezoelectric sensor and a microcontroller to monitor food ingestion of users. To effectively represent the food ingestion patterns,...
Main Author: | Ghulam Hussain |
---|---|
Format: | Article |
Language: | English |
Published: |
Sukkur IBA University
2023-07-01
|
Series: | Sukkur IBA Journal of Emerging Technologies |
Subjects: | |
Online Access: | http://sjcmss.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjet/article/view/1258 |
Similar Items
-
Fear Recognition for Women Using a Reduced Set of Physiological Signals
by: Jose A. Miranda, et al.
Published: (2021-02-01) -
Indoor Positioning System: A New Approach Based on LSTM and Two Stage Activity Classification
by: Ghulam Hussain, et al.
Published: (2019-03-01) -
A Novel Approach for Activity Recognition with Down-Sampling 1D Local Binary Pattern Features
by: KUNCAN, F., et al.
Published: (2019-02-01) -
Wearable Food Intake Monitoring Technologies: A Comprehensive Review
by: Tri Vu, et al.
Published: (2017-01-01) -
Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia
by: Aasim Raheel, et al.
Published: (2020-07-01)