Improving Activity Recognition while Reducing Misclassification of Unknown Activities
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9680464/9680472/09680498.pdf?arnumber=9680498
Reference25 articles.
1. Activity Recognition Using One Triaxial Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction
2. Daily Living Activity Recognition Using Wearable Devices: A Features-Rich Dataset and a Novel Approach
3. Real-Time Activity Recognition in Wireless Body Sensor Networks: From Simple Gestures to Complex Activities
4. Exploring semi-supervised and active learning for activity recognition
5. I did not smoke 100 cigarettes today! avoiding false positives in real-world activity recognition;nguyen;Proceedings of the 2015 ACM Int Joint Conference on Pervasive and Ubiquitous Computing,0
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1. Reproducibility in Activity Recognition Based on Wearable Devices: a Focus on Used Datasets;2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09
2. Individual Convolution of Ankle, Hip, and Wrist Data for Activities-of-Daily-Living Classification;2022 18th International Conference on Intelligent Environments (IE);2022-06-20
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