Multi-View Hand-Hygiene Recognition for Food Safety

Multi-View Hand-Hygiene Recognition for Food Safety

A majority of foodborne illnesses result from inappropriate food handling practices. One proven practice to reduce pathogens is to perform effective hand-hygiene before all stages of food handling. In this paper, we design a multi-camera system that uses video analytics to recognize hand-hygiene act...

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Bibliographic Details
Main Authors: Chengzhang Zhong, Amy R. Reibman, Hansel A. Mina, Amanda J. Deering
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Journal of Imaging
Subjects:
egocentric video
activity recognition
deep learning
temporal segmentation
Online Access:https://www.mdpi.com/2313-433X/6/11/120

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