Micro-activity recognition in industrial assembly process with IMU data and deep learning-Reference-Cited by-同舟云学术

Micro-activity recognition in industrial assembly process with IMU data and deep learning

Published:2022-06-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments
language:
Short-container-title:

Author:

Sopidis Georgios¹,Haslgrübler Michael¹,Azadi Behrooze¹,Anzengruber-Tánase Bernhard¹,Ahmad Abdelrahman¹,Ferscha Alois²,Baresch Martin³

Affiliation:

1. Pro2future GmbH, Austria

2. Johannes Kepler University, Austria

3. KEBA GmbH, Austria

Funder

FFG, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529190.3529204

Reference31 articles.

1. A State-of-the-Art Survey on Deep Learning Theory and Architectures

2. Davide Anguita Alessandro Ghio Luca Oneto Xavier Parra and Jorge Luis Reyes-Ortiz. 2013. A public domain dataset for human activity recognition using smartphones.. In Esann Vol. 3. 3. Davide Anguita Alessandro Ghio Luca Oneto Xavier Parra and Jorge Luis Reyes-Ortiz. 2013. A public domain dataset for human activity recognition using smartphones.. In Esann Vol. 3. 3.

3. Akin Avci , Stephan Bosch , Mihai Marin-Perianu , Raluca Marin-Perianu , and Paul Havinga . 2010 . Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey . In 23th International conference on architecture of computing systems 2010. VDE, 1–10. Akin Avci, Stephan Bosch, Mihai Marin-Perianu, Raluca Marin-Perianu, and Paul Havinga. 2010. Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey. In 23th International conference on architecture of computing systems 2010. VDE, 1–10.

4. Coarse-Fine Convolutional Deep-Learning Strategy for Human Activity Recognition

5. Feasibility analysis of unsupervised industrial activity recognition based on a frequent micro action

Cited by 6 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. MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for action segmentation using sensor-augmented kinematics;Pattern Recognition;2024-12

2. System Design for Sensing in Manufacturing to Apply AI through Hierarchical Abstraction Levels;Sensors;2024-07-12

3. Approximative Sensor Data Resynchronization for Wireless Burst Transmission Protocols;2024 IEEE 20th International Conference on Factory Communication Systems (WFCS);2024-04-17

4. Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition;Sensors;2024-01-21

5. Test–Retest Repeatability of Human Gestures in Manipulation Tasks;Applied Sciences;2023-07-02