A multi-sensor algorithm for activity and workflow recognition in an industrial setting
Author:
Affiliation:
1. Pervasive Computing Applications, Vienna, Austria
2. Johannes Kepler University Linz, Linz, Austria
3. Fischer Sports GmbH, Austria
Funder
FFG
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3316782.3321523
Reference31 articles.
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2. Activity Segmentation and Identification based on Eye Gaze Features
3. Elisabeth Behrmann and Christoph Rauwald. 2016. Mercedes Boots Robots From the Production Line. https://www.bloomberg.com/news/articles/2016-02-25/why-mercedes-is-halting-robots-reign-on-the-production-line. (2016). Accessed: 2017-02-01. Elisabeth Behrmann and Christoph Rauwald. 2016. Mercedes Boots Robots From the Production Line. https://www.bloomberg.com/news/articles/2016-02-25/why-mercedes-is-halting-robots-reign-on-the-production-line. (2016). Accessed: 2017-02-01.
4. Robert Grover Brown Patrick YC Hwang et al. 1992. Introduction to random signals and applied Kalman filtering. Vol. 3. Wiley New York. Robert Grover Brown Patrick YC Hwang et al. 1992. Introduction to random signals and applied Kalman filtering. Vol. 3. Wiley New York.
5. A tutorial on human activity recognition using body-worn inertial sensors
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