Related Experiment Video
Updated: Jul 16, 2025

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
Published on: February 14, 2018
An Enhanced Food Digestion Algorithm for Mobile Sensor Localization
Shu-Chuan Chu1,2, Zhi-Yuan Shao1, Ning Zhong3,4,5
1College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Abstract:
Mobile sensors can extend the range of monitoring and overcome static sensors' limitations and are increasingly used in real-life applications. Since there can be significant errors in mobile sensor localization using the Monte Carlo Localization (MCL), this paper improves the food digestion algorithm (FDA). This paper applies the improved algorithm to the mobile sensor localization problem to reduce localization errors and improve localization accuracy. Firstly, this paper proposes three inter-group communication strategies to speed up the convergence of the algorithm based on the topology that exists between groups. Finally, the improved algorithm is applied to the mobile sensor localization problem, reducing the localization error and achieving good localization results.
Related Concept Videos
Protein Digestion
Neural Regulation
Carbohydrate Digestion
What is Monogastric Digestion?
Key Elements for Plant Nutrition

