J. M. Fontana

发表

A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing

E. S. Sazonov, J. M. Fontana, E. Sazonov, 2012, IEEE Sensors Journal.

Control of Prosthetic Device Using Support Vector Machine Signal Classification Technique

Alan W. L. Chiu, J. M. Fontana, A. Chiu, 2009 .

Vibrotactile Stimulation in the Upper-Arm for Restoring Individual Finger Sensations in Hand Prosthesis

J. M. Fontana, E. Laciar, Ronald J. O'Brien, 2018 .

Energy intake estimation from counts of chews and swallows

Michael R. Neuman, Edward Sazonov, Edward L. Melanson, 2015, Appetite.

Automatic Ingestion Monitor: A Novel Wearable Device for Monitoring of Ingestive Behavior

Edward Sazonov, Muhammad Farooq, Juan M. Fontana, 2014, IEEE Transactions on Biomedical Engineering.

Functional Evaluation of an Anthropometric Artificial Hand

Eric Laciar, Ronald J. O'Brien, Leonardo Molisani, 2018 .

A novel approach for food intake detection using electroglottography

Edward Sazonov, Muhammad Farooq, Juan M Fontana, 2014, Physiological measurement.

Reproducibility of Dietary Intake Measurement From Diet Diaries, Photographic Food Records, and a Novel Sensor Method

J. M. Fontana, J. G. Thomas, Tyson Marden, 2020, Frontiers in Nutrition.

Detection and characterization of food intake by wearable sensors

Edward Sazonov, Juan M. Fontana, J. M. Fontana, 2021, Wearable Sensors.

Swallowing detection by sonic and subsonic frequencies: A comparison

Edward Sazonov, Juan M. Fontana, Pedro L. Melo, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic identification of the number of food items in a meal using clustering techniques based on the monitoring of swallowing and chewing

Oleksandr Makeyev, Edward Sazonov, Stephanie Schuckers, 2012, Biomed. Signal Process. Control..

A Comparative Study of Food Intake Detection Using Artificial Neural Network and Support Vector Machine

Edward Sazonov, Muhammad Farooq, Juan M. Fontana, 2013, 2013 12th International Conference on Machine Learning and Applications.

Estimation of feature importance for food intake detection based on Random Forests classification

Edward Sazonov, Muhammad Farooq, Juan M. Fontana, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analysis of Electrode Shift Effects on Wavelet Features Embedded in a Myoelectric Pattern Recognition System

Juan M Fontana, Alan W L Chiu, J. M. Fontana, 2014, Assistive technology : the official journal of RESNA.

A pattern recognition system based on acoustic signals for fault detection on composite materials

Leonardo Molisani, Juan M. Fontana, Ronald J. O'Brien, 2017 .

A robust classification scheme for detection of food intake through non-invasive monitoring of chewing

Edward Sazonov, Juan M. Fontana, J. M. Fontana, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of EMG signals to control a prosthetic hand using time-frequesncy representations and Support Vector Machines

Juan Manuel Fontana, J. M. Fontana, 2010 .

Design of a instrumentation module for monitoring ingestive behavior in laboratory studies

Edward Sazonov, Juan M. Fontana, Paulo Lopez-Meyer, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A novel approach for food intake detection using electroglottography

J. M. Fontana, E. Sazonov, Muhammad Farooq, 2014, Physiological measurement.

Evaluation of Chewing and Swallowing Sensors for Monitoring Ingestive Behavior.

Juan M Fontana, J. M. Fontana, E. Sazonov, 2013, Sensor letters.