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Smart Care Environment with Food Recognition for Personalization Support: A Case Study of Thai Seniors

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Abstract

Like many countries worldwide, Thailand will become complete aging society shortly. The challenging of an aging society in the digital era is to enhance the quality of life for seniors through the employment of advanced and modern technology. This study proposes a smart care environment with food recognition module for personal healthcare purpose. More specifically, it is the mobile application for promoting personalized support for seniors. With context-aware perspective, the proposed environment employs clinical data and personal data for user modeling. It is designed to have the user-friendly interface providing convenient use for the seniors. Additionally, food recognition module is integrated for gathering real-time energy consumption with less distraction to the seniors. It is trained with a set of Thai food images using a convolution neural network. The case study is conducted with 50 Thai seniors in Chiang Rai, Thailand. Overall, the seniors strongly agree on both provided functional and personalized support. Also, they strongly agree that food recognition module can engage them to use this developed care environment.

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Acknowledgements

A portion of this study is conducted in Talent Mobility Project entitled “Proactive Self-Management Mobile Application for Modern Personalized Healthcare” which is supported by the National Science Technology and Innovation Policy Office. The gratitude also goes to Nacha Chondomrongkul for his support throughout this project.

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  1. School of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand

    Punnarumol Temdee & Surapong Uttama

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  1. Punnarumol Temdee
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  2. Surapong Uttama
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Correspondence to Punnarumol Temdee.

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Temdee, P., Uttama, S. Smart Care Environment with Food Recognition for Personalization Support: A Case Study of Thai Seniors. Wireless Pers Commun 118, 1825–1839 (2021). https://doi.org/10.1007/s11277-019-06636-z

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