Motion Classification for Analyzing the Order Picking Process using Mobile Sensors - General Concepts, Case Studies and Empirical Evaluation-Reference-Cited by-同舟云学术

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Motion Classification for Analyzing the Order Picking Process using Mobile Sensors - General Concepts, Case Studies and Empirical Evaluation

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
language:
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Author:

Feldhorst Sascha¹,Masoudenijad Mojtaba¹,ten Hompel Michael¹,Fink Gernot A.¹

Affiliation:

1. TU Dortmund University, Germany

Publisher

SCITEPRESS - Science and and Technology Publications

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Achieving More with Less: A Lightweight Deep Learning Solution for Advanced Human Activity Recognition (HAR);Sensors;2024-08-22

2. Sensor-Based Analysis of Manual Processes in Production and Logistics: Motion-Mining versus Lean Tools;Lecture Notes in Logistics;2024

3. Comprehensive machine and deep learning analysis of sensor-based human activity recognition;Neural Computing and Applications;2023-03-08

4. Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-07-04

5. Quantum-Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0;Proceedings of Data Analytics and Management;2022

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