Improving activity recognition via automatic decision tree pruning
Author:
Affiliation:
1. Samsung Research America - Silicon Valley, San Jose, CA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2638728.2641310
Reference8 articles.
1. L. Bao and S. Intille. "Activity Recognition from User-Annotated Acceleration Data " In Proceedings of Pervasive 2004. L. Bao and S. Intille. "Activity Recognition from User-Annotated Acceleration Data " In Proceedings of Pervasive 2004.
2. A tutorial on human activity recognition using body-worn inertial sensors
3. T. Hyunh U. Blanke and B. Schiele. "Scalable Recognition of Daily Activities with Wearable Sensors " In Proceedings of LOCA 2007. T. Hyunh U. Blanke and B. Schiele. "Scalable Recognition of Daily Activities with Wearable Sensors " In Proceedings of LOCA 2007.
4. Activity recognition using cell phone accelerometers
5. A Practical Approach to Recognizing Physical Activities
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3. A Hybrid Attention-Based Deep Neural Network for Simultaneous Multi-Sensor Pruning and Human Activity Recognition;IEEE Internet of Things Journal;2022-12-15
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