Literature DB >> 26738036

Comparative testing of piezoelectric and printed strain sensors in characterization of chewing.

Muhammad Farooq, Edward Sazonov.   

Abstract

Results of recent research suggest that there may be a relationship between the eating rate and the total energy intake in a meal. The chewing rate is an indicator of the eating rate that may be measured by a sensor. A number of wearable solutions have been presented for the automatic detection of chewing, but little work has been done on counting chews automatically. With recent developments in printing technologies, it is possible to draw or print application specific sensors. This paper provides a comparison between an off the shelf piezoelectric strain sensor and a plotter drawn strain sensor for quantifying the number of chews for several food items. Piezoelectric strain sensor and plotter drawn strain sensors were able to achieve absolute mean error rates of 8.09 ± 7.16% and 8.26 ± 7.51% respectively for estimating the number of chew counts. This shows that a plotter drawn sensor can achieve similar performance while potentially providing an easily reconfigurable solution.

Mesh:

Year:  2015        PMID: 26738036     DOI: 10.1109/EMBC.2015.7320136

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  Segmentation and Characterization of Chewing Bouts by Monitoring Temporalis Muscle Using Smart Glasses With Piezoelectric Sensor.

Authors:  Muhammad Farooq; Edward Sazonov
Journal:  IEEE J Biomed Health Inform       Date:  2016-12-14       Impact factor: 5.772

2.  Reduction of energy intake using just-in-time feedback from a wearable sensor system.

Authors:  Muhammad Farooq; Megan A McCrory; Edward Sazonov
Journal:  Obesity (Silver Spring)       Date:  2017-02-24       Impact factor: 5.002

3.  Detection of Food Intake Sensor's Wear Compliance in Free-Living.

Authors:  Tonmoy Ghosh; Delwar Hossain; Edward Sazonov
Journal:  IEEE Sens J       Date:  2021-10-29       Impact factor: 4.325

4.  "Automatic Ingestion Monitor Version 2" - A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images.

Authors:  Abul Doulah; Tonmoy Ghosh; Delwar Hossain; Masudul H Imtiaz; Edward Sazonov
Journal:  IEEE J Biomed Health Inform       Date:  2021-02-05       Impact factor: 5.772

5.  A Novel Wearable Device for Food Intake and Physical Activity Recognition.

Authors:  Muhammad Farooq; Edward Sazonov
Journal:  Sensors (Basel)       Date:  2016-07-11       Impact factor: 3.576

6.  Automatic Measurement of Chew Count and Chewing Rate during Food Intake.

Authors:  Muhammad Farooq; Edward Sazonov
Journal:  Electronics (Basel)       Date:  2016-09-23       Impact factor: 2.397

7.  Validation of Sensor-Based Food Intake Detection by Multicamera Video Observation in an Unconstrained Environment.

Authors:  Muhammad Farooq; Abul Doulah; Jason Parton; Megan A McCrory; Janine A Higgins; Edward Sazonov
Journal:  Nutrients       Date:  2019-03-13       Impact factor: 5.717

  7 in total

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