FoodPAL 1.1: Novel Methods to Ensure Allergens Free Diet in Smart Healthcare Framework

IEEE Transactions on AgriFood Electronics Pub Date : 2026-09-01 Epub Date: 2026-09-22 DOI:10.1109/TAFE.2026.3727521
Abdulrahman Alkinani;Laavanya Rachakonda;Saraju P. Mohanty;Elias Kougianos
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Abstract

The immune system plays a vital role in defending the body against pathogens and foreign substances. However, food allergies disrupt its normal functioning, leading to immune system related disorders. During early childhood (ages one to three), children begin exploring their environment by placing various objects, including food, into their mouths. While this exploratory behavior is essential for development, it also poses significant risks, especially for children with food allergies. Therefore, increased supervision is crucial during this stage of growth. In response to this challenge, FoodPAL, a smart surveillance device, is introduced to monitor toddlers' food consumption. A hybrid object detection approach is implemented to enhance performance efficiency and optimize resource utilization. A premium dataset was evaluated across four different object detection models, and the most accurate model was selected. The overarching goal of this research is to protect children's immune systems by preventing exposure to allergenic substances.
FoodPAL 1.1:在智能医疗框架下确保无过敏原饮食的新方法
免疫系统在保护身体免受病原体和外来物质侵害方面起着至关重要的作用。然而,食物过敏会破坏其正常功能,导致免疫系统相关疾病。在幼儿期(1至3岁),孩子们开始探索他们的环境,把各种各样的东西,包括食物放进嘴里。虽然这种探索行为对发育至关重要,但它也带来了重大风险,尤其是对食物过敏的儿童。因此,在这一成长阶段,加强监管至关重要。为了应对这一挑战,我们推出了一款名为FoodPAL的智能监控设备,用于监控幼儿的食物消耗。为了提高性能效率和优化资源利用,实现了一种混合目标检测方法。在四种不同的目标检测模型中评估优质数据集,并选择最准确的模型。这项研究的首要目标是通过防止接触致敏物质来保护儿童的免疫系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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