Call for Paper - Upcoming Issues

Patient Food Intake Monitoring System Using Mems Sensor

International Journal of VLSI & Signal Processing
© 2021 by SSRG - IJVSP Journal
Volume 8 Issue 2
Year of Publication : 2021
Authors : Mr.M.Philip Austin
10.14445/23942584/IJVSP-V8I2P102
pdf
How to Cite?

Mr.M.Philip Austin, "Patient Food Intake Monitoring System Using Mems Sensor," SSRG International Journal of VLSI & Signal Processing, vol. 8,  no. 2, pp. 5-9, 2021. Crossref, https://doi.org/10.14445/23942584/IJVSP-V8I2P102

Abstract:

As of late patients are to be checked from multiple points of view for the improvement of their wellbeing. This task proposes another system for observing the food admission of the patients. This venture utilizes a wearable MEMs sensor which is an acoustic sensor to perceive the food type ie .,either fluid or strong. The framework is essentially made out of two sections: (I) Embedded Hardware System and (ii) Smart telephone application. The throat amplifier resembles acoustic sensors to get great sound signs of eating practices. The information are then sent through Bluetooth to an advanced cell, where food types are perceived.
This is an application which totals food acknowledgment results as well as gives the data in an easy to use way.

Keywords:

Mems Sensor, Food, Monitoring

References:

[1] AutoDietary: A Wearable Acoustic Sensor System for Food Intake Recognition in Daily Life, Yin Bi, MingsongLv, Chen Song, Wenyao Xu, Nan Guan, Member, IEEE, and Wang Yi, Fellow, IEEE Sensors Journal,February 2016.
[2] F. Zhu, M. Bosch, I. Woo, S. Kim, C. Boushey, D. Ebert, and E. Delp, The use of mobile devices in aiding dietary assessment and evaluation, IEEE Journal of Selected Topics in Signal Processing, 4(4)(2010) 756–766.
[3] K.T. Ofei1, M.T. Dobroczynski2, M. Holst3, H. H Rasmussen4 and B. E. Mikkelsen5, The Dietary Intake Monitoring System (DIMS) - an Innovative Device for Capturing Patient’s Food Choice, Food Intake and Plate Waste in a Hospital Setting, Proceedings of Measuring Behavior 2014, (Wageningen, The Netherlands, August 27-29, 2014.
[4] O. Amft and G. Troster, On-body sensing solutions for automatic dietary monitoring, IEEE Pervasive Comput., 8(2) (2009) 62–70.
[5] O. Amft, A wearable ear pad sensor for chewing monitoring,, IEEE Sensors, 1(4)(2010) 222–227.
[6] S. Patel, H. Park, P. Bonato, L. Chan, and M. Rodgers, A review of wearable sensors and systems with application in rehabilitation, Journal of NeuroEngineering and Rehabilitation, 9(1) (2012) 21.