Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment.

Hand-hygiene is a critical component for safe food handling. In this paper, we apply an iterative engineering process to design a hand-hygiene action detection system to improve food-handling safety. We demonstrate the feasibility of a baseline RGB-only convolutional neural network (CNN) in the restricted case of a single scenario; however, since this baseline system performs poorly across scenarios, we also demonstrate the application of two methods to explore potential reasons for its poor performance.

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 actions, with the goal of improving hand-hygiene effectiveness.

Metabolic Profiling and Transcriptome Analysis of Mulberry Leaves Provide Insights into Flavonoid Biosynthesis.

Flavonoids are widely distributed in mulberry leaves and have been recognized for their beneficial physiological effects on the human health. Here, we analyzed variations in 44 flavonoid compounds among 91 mulberry resources. Metabolic profiling revealed that -rhamnosylated flavonols and malonylated flavonol glycosides, including rutin and quercetin 3--(6″--malonylglucoside) (Q3MG), were absent from and multiple mulberry ( L.