Miss-placement Prediction of Multiple On-body Devices for Human Activity Recognition
Author:
Affiliation:
1. MotionMiners GmbH, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3615834.3615838
Reference24 articles.
1. The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey
2. Challenges in Sensor-based Human Activity Recognition and a Comparative Analysis of Benchmark Datasets: A Review
3. Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
4. Deep Neural Network based Human Activity Recognition for the Order Picking Process
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